Psychology

experiment — an investigation looking for a causal relationship in which an independent variable is manipulated and is expected to be responsible for changes in the dependent variable.

Experiments are the only research method that can establish cause-and-effect relationships by systematically controlling variables. The researcher actively changes one variable, known as the independent variable (IV), to see its direct impact on another, the dependent variable (DV). This is like a chef changing only one ingredient (IV) in a recipe to see how it affects the final taste (DV) of the dish.

independent variable — the factor under investigation in an experiment which is manipulated to create two or more conditions (levels) and is expected to be responsible for changes in the dependent variable.

The IV is the variable that the experimenter changes or controls. It creates different conditions that participants experience, and these conditions are hypothesised to cause a change in the dependent variable. For example, in a study on plant growth, the amount of water given to plants is the independent variable because the researcher controls it.

dependent variable — the factor in an experiment which is measured and is expected to change under the influence of the independent variable.

The DV is the outcome variable that the researcher measures. Any observed changes in the DV are presumed to be caused by the manipulation of the independent variable. Continuing the plant growth study, the height of the plants is the dependent variable because it's what you measure to see the effect of the water.

extraneous variable — a variable which either acts randomly, affecting the DV in all levels of the IV or systematically, i.e. on one level of the IV (called a confounding variable) so can obscure the effect of the IV, making the results difficult to interpret.

These are variables other than the IV that could potentially influence the DV. They need to be controlled to ensure that any observed effect is truly due to the IV and not other factors. For instance, if you're testing a new fertiliser (IV) on plant growth (DV), sunlight, temperature, and soil quality are extraneous variables that need to be kept constant.

experimental condition — one or more of the situations in an experiment which represent different levels of the IV and are compared (or compared to a control condition).

These are the specific settings or treatments created by manipulating the independent variable. Participants are exposed to one or more of these conditions to observe their effect on the dependent variable. In a taste test, 'sweetened' and 'unsweetened' versions of a drink would be two experimental conditions.

control condition — a level of the IV in an experiment from which the IV is absent. It is compared to one or more experimental conditions.

This condition serves as a baseline for comparison, where the independent variable is either absent or at a 'normal' level. It helps determine if the experimental manipulation truly causes a change. In a drug trial, the group receiving a placebo (no active drug) is the control condition, compared to the group receiving the actual drug.

laboratory experiment — a research method in which there is an IV, a DV and strict controls. It looks for a causal relationship and is conducted in a setting that is not in the usual environment for the participants with regard to the behaviour they are performing.

Conducted in an artificial, controlled environment, laboratory experiments allow for high control over extraneous variables and precise measurement. This increases internal validity and reliability but may reduce ecological validity. An example is testing how different light colours affect reaction time in a specially designed, windowless room at a university.

field experiment — an investigation looking for a causal relationship in which an independent variable is manipulated and is expected to be responsible for changes in the dependent variable. It is conducted in the normal environment for the participants for the behaviour being investigated.

Field experiments are conducted in a natural setting, allowing for greater ecological validity than lab experiments. The IV is still manipulated, but in a real-world context, which can make control of extraneous variables more challenging. For example, testing the effect of different background music (IV) on customer spending (DV) in an actual shop.

natural experiment — an investigation looking for a causal relationship in which the independent variable cannot be directly manipulated by the experimenter. Instead they study the effect of an existing difference or change. Since the researcher cannot manipulate the levels of the IV it is not a true experiment.

In a natural experiment, the independent variable occurs naturally, without researcher intervention (e.g., a natural disaster, a policy change). The researcher observes the effect of this pre-existing IV on a DV. An example is studying the psychological impact of a natural disaster (IV) on residents' stress levels (DV), where the disaster itself is not manipulated by the researcher.

experimental design — the way in which participants are allocated to levels of the IV.

This refers to how participants are distributed across the different conditions of an experiment. The choice of design impacts how individual differences are handled and the potential for order effects. It's like deciding whether to have different groups of students for each teaching method (independent measures) or have the same students try all methods (repeated measures).

independent measures design — an experimental design in which a different group of participants is used for each level of the IV (condition).

Each participant experiences only one condition of the independent variable. This avoids order effects but can be susceptible to participant variables if random allocation is not effective. For example, having one group of students learn with mind maps and a completely different group learn with revision apps.

demand characteristics — features of the experimental situation which give away the aims. They can cause participants to try to change their behaviour, e.g. to match their beliefs about what is supposed to happen, which reduces the validity of the study.

These are cues in the research setting that might inform participants about the study's purpose, leading them to alter their natural behaviour. This can bias results and lower validity. If a participant guesses a study is about memory, they might try harder to remember things, not reflecting their usual memory ability.

random allocation — a way to reduce the effect of confounding variables such as individual differences. Participants are put in each level of the IV such that each person has an equal chance of being in any condition.

This technique ensures that individual differences are spread evenly across all experimental conditions, making it less likely that participant variables will confound the results. It's like flipping a coin to decide which group each new participant goes into, ensuring no bias in group formation.

repeated measures design — an experimental design in which each participant performs in every level of the IV.

The same group of participants experiences all conditions of the independent variable. This controls for participant variables but introduces the risk of order effects. An example is having the same group of students try both the mind map method and the revision app method for learning.

participant variables — individual differences between participants (such as age, personality and intelligence) that could affect their behaviour in a study. They could hide or exaggerate differences between levels of the IV.

These are characteristics unique to each participant that might influence their performance on the dependent variable, independent of the IV. They are a particular concern in independent measures designs. In a study on reaction time, some participants might naturally have faster reflexes than others, regardless of the experimental condition.

order effects — practice and fatigue effects are the consequences of participating in a study more than once, e.g. in a repeated measures design. They cause changes in performance between conditions that are not due to the IV, so can obscure the effect on the DV.

These occur when the order in which participants experience conditions affects their performance. Practice effects lead to improvement, while fatigue effects lead to decline. If you take two tests, you might do better on the second because you're warmed up (practice effect) or worse because you're tired (fatigue effect).

practice effect — a situation where participants’ performance improves because they experience the experimental task more than once, e.g. due to familiarity or learning the task.

This is a type of order effect where repeated exposure to a task leads to better performance, not because of the IV, but because participants become more skilled or familiar with the task. An example is getting better at a video game after playing it a few times, even if the game itself hasn't changed.

fatigue effect — a situation where participants’ performance declines because they have experienced an experimental task more than once, e.g. due to boredom or tiredness.

This is a type of order effect where repeated exposure to a task leads to worse performance, not because of the IV, but because participants become bored, tired, or less motivated. This is like making more mistakes on a long exam towards the end because you're mentally exhausted.

randomisation — a way to reduce order effects in a repeated measures design by presenting the conditions in a random order for each participant.

This method helps to balance out order effects by ensuring that each condition has an equal chance of appearing first or second. While it reduces the overall impact, it doesn't eliminate order effects for individual participants. It's like shuffling a deck of cards before each game to ensure no fixed order of cards.

counterbalancing — counterbalancing is used to overcome order effects in a repeated measures design. Each possible order of levels of the IV is performed by a different sub-group of participants. This can be described as an ABBA design, as half the participants do condition A then B, and half do B then A.

This systematic method ensures that each condition is presented first and second an equal number of times across the entire sample. This balances out practice and fatigue effects, making them less likely to bias the overall results. For example, if you have two tasks (A and B), half the participants do A then B, and the other half do B then A, so any advantage or disadvantage of doing one first is cancelled out.

matched pairs design — an experimental design in which participants are arranged into pairs. Each pair is similar in ways that are important to the study and one member of each pair performs in a different level of the IV.

This design uses different participants in each condition, but they are carefully matched on key characteristics relevant to the study. This minimises participant variables while avoiding order effects. If studying the effect of a new teaching method, you might pair students with similar prior grades, then assign one from each pair to the new method and the other to the old method.

standardisation — keeping the procedure for each participant in an experiment (or interview) exactly the same to ensure that any differences between participants or conditions are due to the variables under investigation rather than differences in the way they were treated.

Standardisation ensures consistency in how the study is conducted, from instructions given to the environment. This reduces extraneous variables and increases the reliability of the findings. It's like following a recipe exactly every time you bake a cake to ensure consistent results.

reliability — the extent to which a procedure, task or measure is consistent, for example that it would produce the same results with the same people on each occasion.

Reliability refers to the consistency and repeatability of a study's findings. A reliable measure will produce similar results under consistent conditions. A reliable bathroom scale gives you the same weight every time you step on it, assuming your actual weight hasn't changed.

validity — the extent to which the researcher is testing what they claim to be testing.

Validity refers to the accuracy of a study's findings – whether it truly measures what it intends to measure and whether the results can be generalised. It's about the truthfulness of the research. A valid intelligence test actually measures intelligence, not just how good you are at taking tests.

generalise — apply the findings of a study more widely, e.g. to other settings and populations.

Generalisability refers to the extent to which the results of a study conducted on a specific sample in a specific setting can be applied to a larger population or different situations. For example, if a new teaching method works well in one school, can we generalise that it will work well in all schools?

ecological validity — the extent to which the findings of research in one situation would generalise to other situations. This is influenced by whether the situation (e.g. a laboratory) represents the real world effectively and whether the task is relevant to real life (has mundane realism).

This type of validity concerns how well the experimental setting and tasks reflect real-world situations. High ecological validity means the findings are more likely to apply to everyday life. A study on memory conducted in a classroom using typical learning materials would have higher ecological validity than one conducted in a sterile lab using abstract word lists.

uncontrolled variable — a confounding variable that may not have been identified and eliminated in an experiment, which can confuse the results. It may be a feature of the participants or the situation.

These are extraneous variables that were not controlled for, and which systematically affected the dependent variable, making it difficult to determine if the IV was truly responsible for the observed changes. If you're testing a new teaching method, and one class happens to have a highly experienced teacher while the other has a novice, the teacher's experience becomes an uncontrolled variable.

informed consent — knowing enough about a study to decide whether you want to agree to participate.

Participants must be given sufficient information about the study's purpose, procedures, risks, and their rights before agreeing to take part. This ensures their participation is voluntary and ethical. It's like signing a contract after reading and understanding all the terms and conditions.

right to withdraw — a participant should know that they can remove themselves, and their data, from the study at any time.

Participants must be explicitly informed that they are free to leave the study at any point, without penalty, and can also request their data be removed. This protects their autonomy. This is similar to being able to leave a movie theatre if you don't like the film, without having to explain yourself.

privacy — participants’ emotions and physical space should not be invaded, for example they should not be observed in situations or places where they would not expect to be seen.

Researchers must respect participants' personal space and emotional boundaries, ensuring that observations or questions do not intrude on their private lives without explicit consent. This is like not reading someone's diary or listening to their private conversations without their permission.

confidentiality — participants’ results and personal information should be kept safely and not released to anyone outside the study.

Confidentiality ensures that any data collected from participants, especially personal information, is protected and not disclosed to unauthorised individuals. This builds trust and encourages honest participation.

self-report — a research method, such as a questionnaire or interview, which obtains data by asking participants to provide information about themselves.

Self-reports are direct methods of gathering subjective data from participants about their thoughts, feelings, or behaviours. They rely on individuals' own accounts and can take various forms, such as written questionnaires or verbal interviews.

questionnaire — a research method that uses written questions.

Questionnaires are a common type of self-report where participants respond to a series of written questions. They can be administered in various ways and are useful for collecting data from a large number of people efficiently.

closed questions — questionnaire, interview or test items that produce quantitative data. They have only a few, stated alternative responses and no opportunity to expand on answers.

Closed questions provide a limited set of pre-defined answers, making data collection and analysis straightforward and quantitative. Examples include multiple-choice or rating scale questions.

open questions — questionnaire, interview or test items that produce qualitative data. Participants give full and detailed answers in their own words, i.e. no categories or choices are given.

Open questions allow participants to provide detailed, descriptive answers in their own words, yielding rich qualitative data. This provides deeper insights but can be more challenging to analyse.

inter-rater reliability — the extent to which two researchers interpreting qualitative responses in a questionnaire (or interview) will produce the same records from the same raw data.

This refers to the consistency of interpretation between different observers or researchers when analysing qualitative data. High inter-rater reliability indicates that subjective biases are minimised, and interpretations are consistent.

social desirability bias — trying to present oneself in the best light by determining what a test is asking.

This bias occurs when participants alter their responses to self-report measures to appear more socially acceptable or favourable, rather than giving truthful answers. This can reduce the validity of the data collected.

filler questions — items put into a questionnaire, interview or test to disguise the aim of the study by hiding the important questions among irrelevant ones so that participants are less likely to alter their behaviour by working out the aims.

Filler questions are used to distract participants from the true purpose of a study, reducing the likelihood of demand characteristics. By including irrelevant questions, researchers can mask the specific focus of their investigation.

interview — a research method using verbal questions asked directly, e.g. face-to-face or on the telephone.

Interviews are a form of self-report where researchers verbally ask participants questions. They can range from highly structured to very flexible, allowing for different depths of information gathering.

structured interview — an interview with questions in a fixed order which may be scripted. Consistency might also be required for the interviewer’s posture, voice, etc. so they are standardised.

Structured interviews follow a rigid format with pre-determined questions asked in a specific order, ensuring high consistency and replicability. This standardisation helps to reduce interviewer bias.

unstructured interview — an interview in which most questions (after the first one) depend on the respondent’s answers. A list of topics may be given to the interviewer.

Unstructured interviews are flexible, allowing the interviewer to adapt questions based on the participant's responses, leading to rich, in-depth qualitative data. While providing depth, this approach can be less consistent across participants.

semi-structured interview — an interview with a fixed list of open and closed questions. The interviewer can add more questions if necessary.

Semi-structured interviews combine elements of both structured and unstructured approaches, offering a balance between consistency and flexibility. They typically have a core set of questions but allow for exploration of interesting responses.

subjectivity — a personal viewpoint, which may be biased by one’s feelings, beliefs or experiences, so may differ between individual researchers. It is not independent of the situation.

Subjectivity refers to interpretations or observations that are influenced by personal feelings, beliefs, or experiences. This can lead to bias and a lack of consistency between different researchers.

objectivity — an unbiased external viewpoint that is not affected by an individual’s feelings, beliefs or experiences, so should be consistent between different researchers.

Objectivity refers to an unbiased, factual viewpoint that is not influenced by personal feelings or experiences. Objective observations and interpretations are consistent across different researchers, enhancing reliability.

naturalistic observation — a study conducted by watching the participants’ behaviour in their normal environment without interference from the researchers in either the social or physical environment.

Naturalistic observations involve observing behaviour in its natural setting without any manipulation by the researcher. This method offers high ecological validity as behaviour is observed in a real-world context.

controlled observation — a study conducted by watching the participants’ behaviour in a situation in which the social or physical environment has been manipulated by the researchers. It can be conducted in either the participants’ normal environment or in an artificial situation.

Controlled observations involve some manipulation of the environment by the researcher, allowing for more control over extraneous variables. This can occur in either a natural or artificial setting, balancing ecological validity with control.

unstructured observation — a study in which the observer records the whole range of possible behaviours, which is usually confined to a pilot stage at the beginning of a study to refine the behavioural categories to be observed.

In unstructured observations, the observer records all behaviours they deem relevant, often used in initial stages to identify key behaviours. This approach provides rich, detailed qualitative data but can be challenging to analyse systematically.

structured observation — a study in which the observer records only a limited range of behaviours.

Structured observations involve recording specific, pre-defined behaviours using a systematic approach, often with behavioural categories. This method yields quantitative data and enhances inter-observer reliability.

behavioural categories — the activities recorded in an observation. They should be operationalised (clearly defined) and should break a continuous stream of activity into discrete recordable events. They must be observable actions rather than inferred states.

Behavioural categories are specific, observable actions that researchers define and record during an observation. They must be clearly operationalised to ensure consistency and inter-observer reliability, allowing for systematic data collection.

inter-observer reliability — the consistency between two researchers watching the same event, i.e. whether they will produce the same records.

Inter-observer reliability assesses the agreement between two or more observers recording the same behaviour. High agreement indicates that the behavioural categories are well-defined and consistently applied, increasing the reliability of the observation.

participant observer — a researcher who watches from the perspective of being part of the social setting.

A participant observer actively engages in the group or situation being studied, gaining an insider's perspective. This can provide rich, qualitative data but risks observer bias and ethical challenges regarding informed consent.

non-participant observer — a researcher who does not become involved in the situation being studied, e.g. by watching through one-way glass or by keeping apart from the social group of the participants.

A non-participant observer remains separate from the observed group, maintaining objectivity and reducing the risk of influencing participants' behaviour. This approach often yields more objective data but may lack the depth of insight gained from participation.

overt observer — the role of the observer is obvious to the participants.

In overt observation, participants are aware that they are being observed. While this is ethically sound, it can lead to demand characteristics as participants may alter their behaviour due to being watched.

covert observer — the role of the observer is not obvious, e.g. because they are hidden or disguised.

In covert observation, participants are unaware they are being observed, which reduces demand characteristics and increases the naturalness of behaviour. However, this raises significant ethical concerns regarding informed consent and privacy.

correlation — a research method which looks for a causal relationship between two measured variables. A change in one variable is related to a change in the other (although these changes cannot be assumed to be causal).

Correlations investigate the relationship between two measured variables, determining if changes in one are associated with changes in the other. However, it is crucial to remember that correlation does not imply causation; a third variable could be responsible for the observed relationship.

positive correlation — a relationship between two variables in which an increase in one accompanies an increase in the other, i.e. the two variables increase together.

A positive correlation indicates that as one variable increases, the other variable also tends to increase. For example, a positive correlation might exist between hours of study and exam scores.

negative correlation — a relationship between two variables in which an increase in one accompanies a decrease in the other, i.e. higher scores on one variable correspond with lower scores on the other.

A negative correlation indicates that as one variable increases, the other variable tends to decrease. For instance, a negative correlation might be found between the number of hours spent watching TV and academic performance.

hypothesis — a testable statement predicting a difference between levels of the independent variable (in an experiment) or a relationship between variables (in a correlation).

A hypothesis is a precise, testable prediction about the outcome of a study. It guides the research and specifies what the researcher expects to find regarding the relationship between variables or differences between conditions.

alternative hypothesis — the testable statement which predicts a difference or relationship between variables in a particular investigation.

The alternative hypothesis is the primary prediction of the researcher, stating that there will be a significant difference or relationship between the variables being studied. It is the opposite of the null hypothesis.

non-directional (two-tailed) hypothesis — a statement predicting only that one variable will be related to another, e.g. that there will be a difference in the DV between levels of the IV in an experiment or that there will be a relationship between the measured variables in a correlation.

A non-directional hypothesis predicts that there will be a difference or relationship between variables, but it does not specify the direction of that difference or relationship. For example, 'There will be a difference in memory recall between participants who listen to music and those who do not'.

directional (one-tailed) hypothesis — a statement predicting the direction of a relationship between variables, e.g. in an experiment whether the levels of the IV will produce an increase or a decrease in the DV or in a correlation whether an increase in one variable will be linked to an increase or a decrease in another variable.

A directional hypothesis predicts the specific direction of the difference or relationship between variables. For example, 'Participants who listen to music will have lower memory recall scores than those who do not listen to music'.

null hypothesis — a testable statement saying that any difference or correlation in the results is due to chance, i.e. that no pattern in the results has arisen because of the variables being studied.

The null hypothesis states that there will be no significant difference or relationship between the variables, and any observed patterns are due to chance. Researchers aim to disprove the null hypothesis to support their alternative hypothesis.

operationalisation — the definition of variables so that they can be accurately manipulated, measured or quantified and replicated. This includes the IV and DV in experiments and the two measured variables in correlations.

Operationalisation involves precisely defining how variables will be manipulated or measured in a study. This ensures clarity, replicability, and allows for objective data collection. For example, 'attention' might be operationalised as 'number of correct responses on a computerised task'.

situational variable — a confounding variable caused by an aspect of the environment, e.g. the amount of light or noise.

Situational variables are environmental factors that could influence the dependent variable, potentially confounding the results if not controlled. Examples include temperature, lighting, or noise levels in the experimental setting.

control — a way to keep a potential extraneous variable constant, e.g. between levels of the IV, to ensure measured differences in the DV are likely to be due to the IV, raising validity.

Controls are measures taken to minimise the influence of extraneous variables, ensuring that any observed changes in the dependent variable are genuinely due to the independent variable. This enhances the internal validity of the study.

population — the group, sharing one or more characteristics, from which a sample is drawn.

The population refers to the entire group of individuals that a researcher is interested in studying and to whom the findings are intended to apply. It is the broader group from which a sample is selected.

sample — the group of people selected to represent the population in a study.

A sample is a smaller, manageable group of individuals chosen from the population to participate in a research study. The goal is for the sample to be representative of the population so that findings can be generalised.

sampling technique — the method used to obtain the participants for a study from the population.

Sampling techniques are the specific procedures used to select participants from a population. The choice of technique influences how representative the sample is and, consequently, the generalisability of the study's results.

opportunity sample — participants are chosen because they are available, e.g. university students are selected because they are present at the university where the research is taking place.

Opportunity sampling involves selecting participants who are readily available and convenient to the researcher. While easy to implement, this method often leads to unrepresentative samples, limiting generalisability.

volunteer (self-selected) sample — participants are invited to participate, e.g. through advertisements via email or notices. Those who reply become the sample.

Volunteer sampling involves participants choosing to take part in a study, often in response to an advertisement. This can lead to a biased sample as volunteers may share certain characteristics, affecting generalisability.

random sample — all members of the population (i.e. possible participants) are allocated numbers and a fixed amount of these are selected in a unbiased way, e.g. by taking numbers from a hat.

Random sampling ensures that every member of the target population has an equal chance of being selected for the sample. This method aims to create a highly representative sample, thereby increasing the generalisability of the findings.

quantitative data — numerical results about the quantity of a psychological measure such as pulse rate or a score on an intelligence test.

Quantitative data consists of numerical information that can be measured and expressed in numbers. This type of data is objective and can be statistically analysed, allowing for precise comparisons and conclusions.

qualitative data — descriptive, in-depth results indicating the quality of a psychological characteristic, such as responses to open questions in self-reports or case studies and detailed observations.

Qualitative data is descriptive and non-numerical, providing rich, in-depth insights into psychological phenomena. It often comes from open-ended questions, interviews, or detailed observations, offering a deeper understanding of experiences.

measure of central tendency — a mathematical way to find the typical or average score from a data set, using the mode, median or mean.

Measures of central tendency provide a single value that represents the centre or typical value of a data set. The mode, median, and mean are commonly used to summarise data and give an idea of the 'average' score.

mode — the measure of central tendency that identifies the most frequent score(s) in a data set.

The mode is the value that appears most frequently in a data set. It is useful for categorical data and can sometimes have multiple values if several scores share the highest frequency.

median — the measure of central tendency that identifies the middle score of a data set which is in rank order (smallest to largest). If there are two numbers in the middle they are added together and divided by two.

The median is the middle value in a data set when the scores are arranged in ascending or descending order. It is less affected by extreme outliers than the mean, making it a robust measure for skewed data.

mean — the measure of central tendency calculated by adding up all the scores and dividing by the number of scores in the data set.

The mean is the arithmetic average of all scores in a data set. It is the most commonly used measure of central tendency but can be influenced by extreme values (outliers).

measure of spread — a mathematical way to describe the variation or dispersion within a data set.

Measures of spread, also known as measures of dispersion, indicate how much the scores in a data set vary from each other or from the central tendency. The range and standard deviation are common examples.

range — the difference between the biggest and smallest values in the data set plus one (a measure of spread).

The range is the simplest measure of spread, calculated by subtracting the lowest score from the highest score and adding one (for continuous data). It provides a quick indication of the total spread of data.

standard deviation — a calculation of the average difference between each score in the data set and the mean. Bigger values indicate greater variation (a measure of spread).

Standard deviation is a sophisticated measure of spread that quantifies the average amount of variation or dispersion of individual data points around the mean. A smaller standard deviation indicates that data points are clustered closely around the mean, while a larger one suggests greater variability.

physiological — to do with the biological processes in the body, for example hormones.

Physiological refers to the normal functions of living organisms and their parts, encompassing biological processes like heart rate, hormone release, and brain activity. In psychology, it links bodily states to mental experiences, much like a car's engine and its various systems (fuel, cooling, electrical) are constantly working to keep the body functioning.

nervous system — the brain, spinal cord and all the nerve cells in the body that communicate to control our thinking, behaviour and emotions.

The nervous system is the body's command centre, processing sensory information, coordinating voluntary and involuntary actions, and enabling complex cognitive functions and emotional responses. It's divided into the central and peripheral nervous systems, acting like the internet of your body, a vast network of wires (nerves) and servers (brain, spinal cord) that transmit information instantly.

hormones — chemicals that are released from glands and travel around the body in the blood to communicate messages between organs.

Hormones are chemical messengers that regulate various bodily functions, including growth, metabolism, mood, and emotional responses. They are part of the endocrine system and work alongside the nervous system to control behaviour and physiology, much like 'slow mail' messages that travel through the bloodstream to specific 'addresses' (target organs) to deliver instructions.

genes — inherited instructions that are passed on from parents to children that control our development and influence some aspects of our thinking, behaviour and emotions, such as our personality and intelligence.

Genes are the blueprints for our biological makeup, affecting everything from brain function to hormone production. They are fundamental to the 'nature' side of the nature-nurture debate, shaping our predispositions, much like a recipe book passed down through a family containing instructions for making different dishes (traits).

evolution — the process of natural selection of offspring which have inherited characteristics that make them most likely to survive.

Evolution explains how biological traits, like the 'fight or flight' response, develop over generations because they enhance survival. These traits are passed down through genes, influencing our physiology and behaviour, much like a game where only players with certain skills (like speed or camouflage) survive each round, passing on those skills.

valence — when discussing emotions this refers to the attractiveness (positive valence) or aversiveness (negative valence) of an event, object or situation.

Valence describes the intrinsic pleasantness or unpleasantness of an emotional stimulus. Positive valence stimuli evoke feelings like joy, while negative valence stimuli evoke feelings like fear or sadness. It's a key dimension in emotional experience, much like a 'like' or 'dislike' button for every experience.

foil — an unknown or unseen object that is used as a control when testing a participant’s memory.

Foils are distractors in a recognition memory test, presented alongside previously seen items. They help assess whether participants genuinely remember an item or are just guessing, thus improving the validity of memory measures, much like innocent people included in a police lineup to ensure identification is based on actual memory.

correlation coefficient — a number between –1 and 1 which shows the strength of a relationship between two variables with a coefficient of –1 meaning there is a perfect negative correlation and a coefficient of 1 meaning there is a perfect positive correlation.

A correlation coefficient quantifies the direction and strength of a linear relationship between two variables. A value near 0 indicates a weak or no linear relationship, while values closer to -1 or 1 indicate strong negative or positive relationships, respectively, acting like a 'relationship meter' for two things.

electroencephalograph (EEG) — a machine used to detect and record electrical activity in nerve and muscle cells when many are active at the same time.

An EEG uses electrodes placed on the scalp to measure brain waves (frequency and amplitude of electrical activity), providing an objective physiological measure of sleep stages and brain activity. It can also detect eye movements (EOG), much like a 'brain microphone' that listens to the electrical chatter of millions of brain cells.

frequency — the number of events per fixed period of time, e.g. the number of eye movements per minute (approximately 60/minute in REM sleep) or the number of brain waves (cycles) per second or Hertz (Hz), e.g. 13–30 Hz for beta waves.

In the context of EEG, frequency refers to how many brain waves or cycles occur per second, indicating different states of arousal or sleep. Higher frequencies (e.g., beta waves) are associated with wakefulness, while lower frequencies (e.g., delta waves) are seen in deep sleep, similar to the tempo of music.

amplitude — the ‘height’ of waves, e.g. on an EEG (indicating voltage).

Amplitude on an EEG reflects the voltage or intensity of the electrical activity in the brain. High amplitude waves indicate synchronous activity of many neurons, often seen in deep sleep, while low amplitude waves suggest more desynchronised activity, typical of wakefulness or REM sleep, much like the 'loudness' of the brain's electrical signal.

rapid eye movement sleep (REM) — a stage of sleep in which our eyes move rapidly under the lids, which is associated with vivid, visual dreams.

REM sleep is a distinct phase of the sleep cycle characterised by high brain activity, muscle paralysis (except for eye muscles), and vivid dreaming. It typically occurs in cycles throughout the night, becoming longer towards morning, much like the 'movie theatre' of your brain where vivid stories play out.

non-rapid eye movement sleep (nREM) — the stages of sleep (1 to 4) in which our eyes are still.

nREM sleep, also known as quiescent sleep, comprises four stages of progressively deeper sleep where eye movements are minimal. It is generally not associated with vivid dreaming, though some dream recall can occur, much like the 'maintenance mode' for your brain and body where deep rest and repair happen.

adrenalin — a hormone released from the adrenal glands in response to stress or excitement.

Adrenalin (epinephrine) is a key hormone in the 'fight or flight' response, increasing heart rate, blood pressure, and glucose levels to prepare the body for immediate action. It plays a significant role in intense emotional experiences like fear or anger, acting like a 'turbo boost' button for your body.

sympathetic arousal — when we are exposed to a stressful situation, the sympathetic nervous system becomes aroused causing the pupils to dilate, an increase in heart rate, digestive activity is inhibited and glucose is released by the liver for extra energy needed to prepare the body to respond to alarm or stress.

Sympathetic arousal is the body's physiological response to perceived threats or stress, preparing it for 'fight or flight'. This automatic response involves a cascade of bodily changes mediated by the sympathetic nervous system and hormones like adrenalin, much like your body's 'emergency mode' kicking in.

placebo — a pill or injection given which the patient or participant believes is a drug but which, in reality, has no effect.

Placebos are used in research to control for the psychological effects of expectation. By comparing a treatment group to a placebo group, researchers can determine if the observed effects are due to the active treatment or simply the belief in receiving treatment, much like a child feeling better from a 'magic' sticker.

stooge — a person who appears to be another participant or someone not related to the study, but who is in fact working on behalf of the researcher.

Stooges (or confederates) are used in experiments to manipulate social situations or participant perceptions without revealing the true aims of the study. Their scripted behaviour helps standardise the experimental conditions, much like a hidden actor in a prank video.

internal validity — how well an experiment controls for confounding variables.

High internal validity means the researcher is confident that only the independent variable is affecting the dependent variable, with minimal impact from other factors. This is crucial for establishing cause-and-effect relationships, much like ensuring only fertiliser, not sunlight, is changed when testing plant growth.

demand characteristics — features of the experimental situation which give away the aims.

Demand characteristics can cause participants to alter their behaviour to align with what they believe the experimenter expects, thereby reducing the validity of the study. Researchers use various controls, like deception or double-blind techniques, to minimise them, much like a student accidentally seeing an answer key and trying to give the 'right' answers.

double blind technique — when both the participant and the researcher are unaware of which condition the participant is in to prevent demand characteristics and act as a control to improve the validity of any data collected.

The double-blind technique is a rigorous control method where neither the participants nor the experimenters interacting with them know who is in the experimental group and who is in the control group. This prevents both participant bias (demand characteristics) and experimenter bias, much like a taste test where neither the giver nor the taster knows which sample is new.

reliability — the extent to which a procedure, task or measure is consistent, for example that it would produce the same results we the same people on each occasion.

Reliability refers to the consistency of a measure. A reliable measure produces similar results under consistent conditions, ensuring that any observed changes are due to the independent variable rather than measurement error. Objective measures like EEG tend to be highly reliable, much like a reliable measuring tape that gives the same length every time.

attention — The concentration of mental effort on a particular stimulus.

Attention can be focused, meaning concentrating on one specific input, or divided, meaning splitting mental effort between multiple tasks. It is a crucial cognitive process that determines what information is processed and remembered, much like a spotlight illuminating specific areas while leaving others in the dark.

focused attention — The picking out of a particular input from a mass of information, such as an array or a continuous stream, for example, concentrating on your teacher’s voice even when there is building work outside and the student next to you is whispering.

Focused attention is essential for selectively processing relevant information and ignoring distractions. It allows for deeper processing of the chosen stimulus, which can improve memory and understanding, similar to using noise-cancelling headphones to hear only the desired music.

divided attention — The ability to split mental effort between two or more simultaneous tasks (called ‘dual tasks’), for example, driving a car and talking to a passenger.

Divided attention is easier when the tasks are simple, well-practised, and automatic, as they require fewer cognitive resources. When tasks are complex or novel, dividing attention can lead to reduced performance on one or both tasks, much like trying to juggle two heavy balls at once when you're new to juggling.

daydreaming — A mildly altered state of consciousness in which we experience a sense of being ‘lost in our thoughts’, typically positive ones, and a detachment from our environment.

Daydreaming is linked to high arousal when bored and uses important cognitive processing resources, particularly the central executive of working memory. This can inhibit performance on primary tasks requiring those resources, much like a busy manager getting distracted by personal thoughts and neglecting main work tasks.

working memory model — This model of memory suggests that two different types of current or ‘working’ memory can be used at the same time, one is visuo-spatial and the other auditory.

These two components (visuo-spatial sketchpad and phonological loop) are governed by an overall ‘central executive’ which allocates attention and coordinates information. This model helps explain how we can process different types of information concurrently, like a mental workbench with specialized areas for visual and sound tasks, directed by a foreman.

control group — Often used in experiments, this group does not receive the manipulation of the independent variable and can be used for comparison with the experimental group or groups.

The control group serves as a baseline to determine if the independent variable has a significant effect. By comparing the experimental group's results to the control group's, researchers can isolate the impact of the manipulated variable, much like a set of plants that don't receive fertilizer, allowing comparison with treated plants.

ceiling effect — This occurs when a test is too easy and all participants in a condition score the top score.

A ceiling effect is problematic because it does not allow the research to differentiate between participants, making it impossible to measure individual differences or the full impact of an intervention if everyone is already performing at the maximum level, like a height measuring contest where everyone is taller than the tape.

social cognition — The study of how people process social information and how this processing might affect how a person behaves towards or around other people.

Social cognition is a sub-area of the cognitive approach, focusing specifically on how mental processes like attention, memory, and thinking are applied to social situations and interactions. It helps explain why individuals interpret and react to social cues in particular ways, much like a detective analyzing clues to understand a crime scene.

basic emotions — As argued by Ekman (1992), there are six basic emotions that are recognised universally by adults and even very young children developing normally.

These emotions are happiness, sadness, anger, surprise, fear, and disgust. They are considered fundamental and are often expressed and recognized across different cultures, suggesting a biological basis, much like primary colours forming the foundation for many shades.

Autism Spectrum Quotient Test (AQ) — A self-report questionnaire with scores ranging from 0 to 50.

A higher score on the AQ test suggests that the person completing it has more autistic traits. It is used to quantify the degree of autistic characteristics in individuals, including those without a formal diagnosis, acting like a 'spectrum meter' for autistic traits.

Diagnostic and Statistical Manual (DSM) — Published by the American Psychiatric Association, it is used as a classification and diagnostic tool by doctors, psychiatrists and psychologists across the globe.

The DSM provides standardized criteria for diagnosing mental health disorders, ensuring consistency in diagnosis and facilitating research and communication among professionals. It undergoes periodic revisions to reflect new scientific understanding, much like a comprehensive medical dictionary for mental health.

International Classification of Disorders (ICD) — Published by the World Health Organization (WHO) and although similar to the DSM, it has a wider scope and covers all health-related conditions, not only mental health and psychological conditions.

The ICD is a global standard for health information and causes of death, providing a common language for reporting and monitoring diseases. Its broader scope makes it useful for a wider range of health professionals, akin to a complete encyclopedia covering every known health condition.

standardised procedure — A control to reduce confounding variables in laboratory studies where all participants are tested in the same conditions.

By ensuring all participants experience identical conditions, researchers can be more confident that any observed differences in the dependent variable are due to the independent variable, thereby increasing the internal validity of the experiment. This is like following a recipe precisely every time to ensure any difference in the cake is due to a single ingredient change.

quasi-experiment — Quasi means ‘almost’, and refers to the fact that these experiments often have lots of control over the procedure, but not over how participants are allocated to conditions within the study.

In a quasi-experiment, participants are assigned to conditions based on pre-existing characteristics (e.g., having autism), rather than random assignment. This limits the ability to establish cause-and-effect relationships as strongly as in a true experiment, similar to studying teaching methods on students already in different classes.

IQ — A measure of intelligence that produces a score representing a person’s mental age.

The average range of IQ is between 85 and 115. IQ tests assess various cognitive abilities, and the score is often used to match participants in research studies to control for intelligence as a confounding variable, like a general 'brain power' score.

imitative (social) learning — The learning of a new behaviour which is observed in a role model and imitated later in the absence of that model.

This type of learning, central to social learning theory, suggests that individuals can acquire new behaviours simply by watching others. The behaviour is then reproduced even when the original model is no longer present, indicating a lasting change. For example, a child watching an older sibling tie their shoelaces and then trying to do it themselves later, even when the sibling isn't there.

sex-typed behaviour — Actions that are typically performed by one particular gender and are seen in society as more appropriate for that gender.

These behaviours are culturally influenced and often reinforced through rewards and punishments, leading to differences in how boys and girls behave. Aggression, for example, was historically seen as a masculine-type behaviour. Playing with dolls being considered 'for girls' and playing with toy trucks being 'for boys' are examples of sex-typed behaviours reinforced by societal norms.

classical conditioning — Learning through association, studied in both humans and animals.

It is a learning process where a neutral stimulus (NS) becomes associated with an unconditioned stimulus (UCS) that naturally produces an unconditioned response (UCR). After repeated pairings, the NS becomes a conditioned stimulus (CS) and emits a conditioned response (CR) similar to the UCR. For instance, the smell of your favourite food (UCS) makes your mouth water (UCR). If a specific song (NS) always plays when you eat that food, eventually the song (CS) alone will make your mouth water (CR).

phobia — The irrational, persistent fear of an object or event which poses little real danger but creates anxiety and avoidance in the sufferer.

Phobias are often learned through classical conditioning, where a neutral stimulus becomes associated with a negative experience. They can significantly interfere with an individual's daily functioning. Someone who was once bitten by a dog (UCS) might develop a phobia of all dogs (CS), even friendly ones, experiencing intense fear (CR) despite no immediate danger.

evaluative learning — A form of classical conditioning wherein attitudes towards stimuli are considered to be the product of complex thought processes and emotions which lead an individual to perceive or evaluate a previously neutral stimulus negatively.

Unlike simpler classical conditioning focused on fear, evaluative learning emphasizes the role of disgust and cognitive appraisals in forming negative associations. Attitudes acquired this way may be more resistant to change. An example is developing a strong dislike for a certain type of food (previously neutral) after hearing a vivid, disgusting story about its preparation, even if you've never had a bad experience eating it yourself.

positive reinforcement — A form of operant conditioning, another theory of learning, which involves rewarding desirable behaviour to encourage it to be repeated.

When a behaviour is followed by a pleasant consequence, the likelihood of that behaviour occurring again in the future increases. This is a key mechanism for shaping behaviour. For example, giving a dog a treat (reward) every time it sits on command makes it more likely to sit when told in the future.

self-control — A form of cognitive behavioural therapy which involves using 'self-talk'; the individual is taught to recognise difficult situations, acknowledge troubling thoughts and consider alternative, positive thoughts.

This technique empowers individuals to manage their own emotional and behavioural responses by consciously altering their internal dialogue. It helps to challenge negative evaluations and replace them with more adaptive ones. For example, when facing a challenging exam, instead of thinking 'I'm going to fail,' using self-talk to say 'I've studied hard, I can do this' to manage anxiety and improve performance.

continuous reinforcement — When a learner receives a reward each time they perform a desirable behaviour.

This schedule of reinforcement is highly effective for establishing new behaviours quickly, as it creates a strong and immediate association between the action and the reward. However, behaviours learned this way may extinguish quickly if reinforcement stops. For example, every time a child puts a toy away, they immediately get a sticker. This quickly teaches them to put toys away.

obedience — Following a direct order from a person or people in authority.

Obedience is a key concept in social psychology, often studied in the context of how individuals respond to commands from perceived authority figures, even when those commands may conflict with personal ethics. For example, following a teacher's instruction to complete a difficult assignment, even if you'd rather not, is an act of obedience to an authority figure.

destructive obedience — Obedience that has potential to cause psychological or physical harm or injury to another.

This specific type of obedience explores the dark side of human compliance, where following orders leads to harm. Milgram's study was designed to investigate the factors contributing to destructive obedience, such as a soldier following orders to harm civilians, even if it goes against their conscience.

white collar workers — Refers to individuals who work in professional occupations, as compared to ‘blue collar’ workers which refers to those who perform manual work.

This term categorizes occupations based on the type of work performed, often implying differences in education, income, and social status. Milgram's sample included white collar workers to ensure a range of backgrounds, increasing the generalisability of his findings on obedience. For instance, a doctor or a lawyer is a white collar worker, while a factory worker or a plumber is typically considered a blue collar worker.

confederate — Someone who is playing a role in a piece of research and has been instructed as to how to behave by the researcher.

Confederates are crucial in many social psychology experiments to manipulate social situations or create specific reactions from real participants without their knowledge. In Milgram's study, the 'learner' and 'experimenter' were confederates, essential for creating the illusion of the shock experiment. In a magic show, the magician's assistant who secretly helps with the trick is like a confederate in an experiment.

bystander — A person who is present at, but may not be directly involved in, a particular situation.

Bystanders are central to the study of helping behaviour, as their presence and reactions can significantly influence whether someone in need receives assistance. The 'bystander effect' refers to the phenomenon where individuals are less likely to help in an emergency when others are present. Someone watching a street performer but not participating is a bystander.

Good Samaritan — This term originates from the New Testament in the Bible. It refers to a story of a Samaritan (person originating from ancient Samaria) who stops to offer help to an injured stranger.

In psychology, 'Good Samaritanism' is used to describe altruistic helping behaviour, particularly towards strangers in distress. Piliavin et al.'s study investigated factors influencing this type of helping in a real-life setting. Someone stopping to help a stranded motorist change a tire, without expecting anything in return, is acting as a Good Samaritan.

diffusion of responsibility — A person is less likely to take action in an emergency where there are others there also able to help.

This hypothesis suggests that in a group, the perceived sense of individual responsibility to intervene is 'diffused' or reduced among all present, leading to a lower likelihood of any single person helping. Piliavin et al.'s study challenged this hypothesis in a naturalistic setting. For example, if a group of people see a dropped wallet, each person might think 'someone else will pick it up,' leading to no one picking it up.

cost–benefit model — Involves a decision-making process in which a person weighs up both the advantages and disadvantages of helping.

Proposed by Piliavin et al., this model suggests that bystanders experience arousal in an emergency and then evaluate the potential costs (e.g., danger, effort, embarrassment) and benefits (e.g., praise, reduced guilt) of helping versus not helping. The outcome of this calculation determines their response. Deciding whether to lend money to a friend involves weighing the benefit of helping them against the cost of potentially not getting your money back.

conspecific — Member of the same species.

This term is used in animal behaviour research to refer to other individuals of the same species, highlighting interactions within a species. Yamamoto et al.'s study investigated helping behaviour between chimpanzee conspecifics. A human helping another human is an example of a conspecific interaction.

altruistic — Acting helpfully towards others without obvious benefit to oneself.

Altruism is a form of pro-social behaviour where the helper gains no direct reward or may even incur a cost. The debate exists whether true altruism, without any underlying self-interest, is unique to humans or also present in other species like chimpanzees. Donating blood to a stranger, with no expectation of reward, is an altruistic act.

abnormality — Abnormality can be defined in psychology in many ways, including behaviours that are rarely seen, behaviours not considered normal in a particular society, or behaviours that harm the individual or those around them.

Defining abnormality is complex, involving considerations like statistical infrequency, deviation from social norms, failure to function adequately, and deviation from ideal mental health. These varied definitions highlight the multifaceted nature of mental health and the challenges inherent in diagnosis. For instance, experiencing hallucinations is statistically infrequent, making it abnormal.

diagnosis — Diagnosis is the process of understanding which mental disorder can best explain an individual’s symptoms, involving looking for particular signs that meet the criteria for known illnesses.

Diagnosis provides a crucial framework for understanding and treating mental disorders, enabling standardized communication among healthcare professionals. It relies on observing symptoms and comparing them to established diagnostic criteria, such as those found in the DSM-5. Just as a mechanic diagnoses a car problem by checking specific signs, a psychologist diagnoses a mental disorder by checking specific symptoms.

duration — Duration refers to the length of time the individual experiences the symptoms or illness.

This term helps quantify the chronicity of a disorder, distinguishing between brief episodes and long-term conditions. It is crucial for diagnosis and understanding the impact on a person's life. Like how long a cold lasts, duration in psychology refers to how long someone experiences symptoms of a mental illness.

severity — Severity is the intensity with which the individual experiences the symptoms or illness.

Severity helps clinicians gauge the impact of a disorder on an individual's functioning and guides treatment decisions. It can range from mild to extreme, influencing the type and intensity of intervention required. Think of a headache: a mild headache is less severe than a migraine that makes you unable to function.

affect — Affect refers to a person’s feelings or emotions, where a ‘flat’ affect can refer to a lack of visible response such as a frown or smile.

Affect is an observable expression of emotion, which serves as a key diagnostic indicator in many mental disorders. A 'flat affect' is a common negative symptom in schizophrenia, indicating a reduction in emotional expression. Imagine someone telling a joke with a completely blank face; their 'flat affect' means you can't tell if they find it funny.

persecutory ideation — Persecutory ideation is the process of forming an idea that one is at risk of being ill-treated or harmed by others.

This is a key component of paranoid thinking, frequently observed in psychotic disorders like schizophrenia. It involves a persistent belief that others intend to cause harm, even in the absence of supporting evidence. It's like constantly feeling that everyone in a room is whispering about you and planning something against you, even if they're just having normal conversations.

twin study — A twin study is a type of study which compares sets of twins to analyse similarities and differences, including concordance for intelligence or mental disorders, involving both monozygotic (MZ) and dizygotic (DZ) twins, as well as adoption studies.

Twin studies are powerful tools for investigating the relative contributions of genetics (nature) and environment (nurture) to psychological traits and disorders. By comparing MZ (identical) and DZ (non-identical) twins, researchers can infer genetic influence if MZ twins show higher concordance rates. Imagine two identical cars (MZ twins) and two similar but not identical cars (DZ twins) driven on the same roads; if identical cars break down similarly more often, it suggests a design flaw (genetics).

concordance — Concordance is the presence of a particular observable trait or disorder in both individuals within a set of twins.

Concordance rates are central to twin studies, indicating the probability that if one twin has a trait or disorder, the other twin will also have it. Higher concordance in MZ twins compared to DZ twins suggests a stronger genetic component. If both identical twins always get the same rare allergy, their concordance rate for that allergy is 100%.

polymorphism — Polymorphism refers to a variation in a gene or genes, representing different expressions that may be present in a normal population, even if infrequent, rather than a unique change.

Polymorphisms are common genetic variations that can influence an individual's susceptibility to certain diseases or their response to medications. They are a key focus in genetic research to understand the biological basis of mental disorders. Think of different hair colors in people; they are variations (polymorphisms) of genes, not necessarily harmful mutations.

sexually dimorphic — Sexually dimorphic refers to any differences between males and females of any species, beyond just differences in organs or genitalia, caused by inheriting either male or female patterns of genetic material.

Sexually dimorphic traits can include differences in brain structure, neurochemical pathways, or disease susceptibility between sexes. Understanding these differences is crucial for tailored diagnosis and treatment approaches in mental health. Male lions have manes and female lions don't; that's a sexually dimorphic trait beyond just their reproductive organs.

Positron emission tomography (PET) scanning — PET scanning is a technique which uses gamma cameras to detect radioactive tracers such as glucose, injected into the blood, which accumulate in areas of high activity during the scan, allowing them to become visible for analysis.

PET scans provide images of brain activity by measuring metabolic processes, such as glucose uptake. This allows researchers to identify areas of the brain that are more or less active in individuals with certain disorders, linking brain function to symptoms. It's like using a special camera to see which parts of a city are using the most electricity at night, showing where the most activity is happening.

milieu therapy — Milieu therapy is a type of treatment which involves the use of a therapeutic community, where patients live collectively and are encouraged to look after both themselves and each other to promote social engagement and relationship building.

Milieu therapy creates a supportive and structured environment where the entire social setting is considered therapeutic. It aims to foster personal responsibility, social skills, and a sense of community among patients, often used for chronic conditions. It's like living in a supportive boarding school where everyone helps each other learn and grow, rather than just attending classes.

psychiatrist — A psychiatrist is a doctor with specialised medical training to deal with the diagnosis and treatment of disorders.

Psychiatrists are medical doctors who can prescribe medication and have a biological understanding of mental disorders, often working alongside psychologists who focus on psychological therapies. This distinction is important for understanding different roles in mental healthcare. A psychiatrist is like a medical doctor for your brain, while a psychologist is like a therapist who helps you understand and change your thoughts and behaviors.

schemas — Schemas are units of knowledge about the world, where information from our senses is arranged meaningfully in our minds to help us categorise new experiences and details, underlying virtually all cognition.

Schemas are fundamental cognitive structures that organize our knowledge and influence how we perceive and interpret new information. In cognitive theories of depression, dysfunctional schemas can lead to negative biases in thinking. Think of schemas as mental folders in your brain; when you encounter something new, you try to fit it into an existing folder or create a new one, which shapes how you understand it.

attribution — Attribution is the cognitive process by which individuals explain the causes of behaviour and events, which may be faulty or biased based on previous life experience.

Attributional style refers to an individual's characteristic way of explaining events, particularly negative ones. A pessimistic attributional style (internal, stable, global) is linked to learned helplessness and depression. If you fail a test, an internal attribution is 'I'm stupid,' while an external attribution is 'The test was unfair.'

inhibit — To inhibit means to hinder or prevent, and in neuropsychology, it occurs when a chemical or chemical process is reduced or stopped.

In the context of antidepressants, MAOIs inhibit the enzyme monoamine oxidase, preventing the breakdown of neurotransmitters. This increases the availability of neurotransmitters like serotonin and norepinephrine in the brain, alleviating depressive symptoms. Imagine a dam inhibiting the flow of water; MAOIs inhibit the breakdown of neurotransmitters, allowing more to 'flow' in the brain.

non-adherence to medication — Non-adherence to medication occurs when a patient goes against a physician’s instructions for drug dosage, for instance by stopping taking their medication.

Non-adherence is a significant challenge in the treatment of mental disorders, often leading to relapse or reduced effectiveness of therapy. It can be caused by unpleasant side effects, lack of perceived need, or stigma. It's like a doctor telling you to take antibiotics for 10 days, but you stop after 3 days because you feel better, even though the infection isn't fully gone.

chronic — Chronic refers to something that occurs for a long time or is on-going, applicable to a mental or physical disorder, or a course of treatment.

Chronic conditions require long-term management and can have a profound impact on an individual's life, often necessitating different treatment strategies than acute conditions. Understanding chronicity is important for prognosis and care planning. A chronic cough is one that lasts for weeks or months, not just a few days like an acute cough.

opiates — Opiates are a group of powerful drugs historically used as painkillers, many of which are considered high risk for drug abuse.

Opiates can affect the brain's reward system, and some, like nalmefene and naltrexone, are used to treat addictive disorders by blocking opioid receptors, reducing the rewarding effects of compulsive behaviors like gambling. Think of opiates as strong pain relievers, but some can also be used to 'turn down' the pleasure signal in the brain for addictive behaviors.

muscle relaxation — Muscle relaxation is used in therapies to relieve tension from within the body and mind, induced using medication, visualisation exercises or repetition of calming phrases, with progressive muscle relaxation achieved through systematically tensing and relaxing muscles.

Muscle relaxation techniques are often used in cognitive-behavioral therapies to reduce physiological arousal associated with anxiety and compulsive urges. It helps individuals achieve a state of calm, making them more receptive to therapeutic interventions. It's like loosening a tight knot in a rope; muscle relaxation helps release the physical tension in your body.

eye movement desensitisation and reprocessing (EDMR) exercises — EMDR exercises involve the individual recalling problem behaviour or memories while the therapist directs their eye movement in one of several patterns, using their hands or other stimuli.

EMDR is a therapeutic technique used to process distressing memories and reduce their emotional impact. In impulse control therapy, it's used to help clients reprocess feeling-states associated with compulsive behaviors, reducing their intensity. It's like moving your eyes back and forth while thinking about a bad memory, which somehow helps your brain 're-file' it so it's less upsetting.

non-clinical population — A non-clinical population refers to a group not specifically targeted in the study of health, in contrast to a clinical population which is a group of particular interest, such as those with a medical or mental health disorder.

Studying non-clinical populations can help researchers understand the prevalence of certain traits or behaviors in the general public, or to establish baseline data for comparison with clinical groups. It's important for validating assessment tools before use in clinical settings. If you're testing a new diet, a non-clinical population would be healthy people, while a clinical population might be people with diabetes.

concurrent validity — Concurrent validity is a way to judge validity by comparing measures of the same phenomenon in different ways at the same time to show that they produce similar results in the same circumstances.

Concurrent validity ensures that a new or existing assessment tool accurately measures what it's supposed to by correlating its results with those of another established and validated measure. High concurrent validity indicates the tool is reliable and useful. If you invent a new thermometer, you'd check its accuracy by comparing its readings to a trusted, old thermometer at the same time.

statistical analysis — Statistical analysis involves the use of statistical tests which measure the likelihood of differences or relationships in data being due to chance.

This is crucial for determining if observed effects in consumer behaviour studies are genuine or random. It helps researchers draw reliable conclusions from quantitative data, such as differences in spending between groups. Imagine flipping a coin 10 times and getting 7 heads. Statistical analysis helps you figure out if that's just luck or if the coin is actually biased, by calculating the probability of such an outcome happening by chance.

synergistic — Synergistic refers to the interaction of more than one condition which creates a combined effect greater than the sum of either of their effects separately.

In consumer psychology, this means that multiple environmental factors (e.g., classical music and stylish décor) can combine to produce a stronger positive effect on spending than if each factor acted alone. It highlights the importance of holistic design. Think of a band: each musician is good on their own, but when they play together, the music they create is much more powerful and enjoyable than just listening to each instrument separately.

cognitive map — A cognitive map is an internal representation of an external geographical reality sometimes described as a mental map of one’s physical environment.

These mental maps help consumers navigate and make sense of retail environments, influencing their preferences and shopping patterns. Understanding them can inform store layout and design. When you give directions to a friend, you're using your cognitive map of the area, not a precise GPS coordinate system. It includes landmarks and relative distances that are important to you.

multi-dimensional scaling — Multi-dimensional scaling is a statistical technique that can take a range of responses (such as preferences and perceptions) from respondents and present them visually.

This technique helps researchers understand how consumers perceive similarities and differences between products or stores, allowing for a visual representation of complex preference data. It can reveal underlying dimensions of consumer choice. Imagine you have a list of how much people like different types of fruit. Multi-dimensional scaling could plot these fruits on a graph where fruits that are liked similarly are close together, revealing underlying dimensions like 'sweetness' or 'tartness'.

crowding — Crowding is the subjective experience of density.

While density is the objective number of people in a space, crowding refers to the psychological feeling of being too close to others, which can negatively impact shopping satisfaction and behaviour. It's about perception, not just numbers. Being on a packed train during rush hour is high density, but if you feel stressed and uncomfortable, that's crowding. If you're at a lively concert with many people but enjoying it, the density is high, but you might not perceive it as crowding.

human density — Human density is the number of people in a given space.

This is an objective measure that can contribute to the subjective experience of crowding. Researchers manipulate human density to study its effects on consumer emotions and satisfaction in retail environments. If a shop has 50 people in it, that's its human density. Whether those 50 people feel 'crowded' depends on the size of the shop and their individual tolerance.

space syntax — Space syntax is a science-based, human-focused approach that investigates relationships between spatial layout and a range of social, economic and environmental phenomena.

This approach helps analyse how the physical arrangement of a space, like a supermarket, influences human movement patterns, interactions, and ultimately, consumer behaviour. It provides a framework for understanding spatial effects. Think of how the layout of a maze dictates where you can go and how long it takes you to get through it. Space syntax is like analysing the 'maze' of a store to understand how it guides or restricts shopper movement.

primacy–recency effect — The primacy–recency effect is an effect identified in memory research which finds that the items at the beginning of a list and the items at the end of a list are more likely to be recalled than the items from the middle of the list.

In menu design, this principle suggests that items placed at the start or end of a category are more likely to be chosen by customers. This can be exploited to promote high-profit or healthier options. If you're trying to remember a shopping list, you'll probably recall the first few items and the last few items more easily than those in the middle.

heuristics — Heuristics are mental shortcuts that help us make decisions and judgements quickly without having to spend a lot of time researching and analysing information.

Consumers frequently use heuristics to simplify complex purchasing decisions, often leading to quick, intuitive choices. While generally helpful, they can sometimes result in biases or errors in judgment. When you're choosing a brand of cereal, instead of reading all the nutritional labels, you might just pick the one with the familiar packaging or the one your friend recommended – that's a heuristic.

interpersonal skills — The abilities we have (or don’t have) that allow us to communicate effectively with others.

These skills are crucial in the patient-practitioner relationship, influencing patient trust, willingness to disclose information, and confidence in the doctor's ability to help. Just like a good teacher needs to communicate clearly and empathetically with students to build trust and facilitate learning, a doctor needs strong interpersonal skills to build rapport and ensure patients feel comfortable sharing their concerns.

adherence — Sticking. 'Adherence to medical advice' means following advice given by a medical practitioner.

Adherence is crucial for the effectiveness of medical treatments, especially for chronic diseases. Non-adherence can lead to increased morbidity, mortality, and healthcare costs. Adherence to medical advice is like following a recipe exactly when baking a cake; if you miss an ingredient or change the steps, the cake might not turn out as expected, or even fail completely.

morbidity — The incidence of a disease across a population and/or geographic location during a predefined timeframe.

Morbidity refers to the state of being diseased or unhealthy within a population. High morbidity rates indicate a significant health burden, and non-adherence to medical advice can contribute to increased morbidity. If a school has a high number of students catching the flu each winter, that's a high morbidity rate for the flu in that school population.

mortality — The rate of death in a population.

Mortality refers to the number of deaths in a given population over a specific period. Non-adherence to medical advice, particularly for serious conditions, can lead to increased mortality rates. If a severe heatwave causes a significant increase in deaths among the elderly in a city, that would contribute to a higher mortality rate for that demographic during that period.

Type I error — A Type I error, or false positive, is declaring an illness when one does not exist.

This error occurs when a diagnostic test or doctor incorrectly identifies a healthy patient as having an illness. It can lead to unnecessary anxiety, further testing, and potentially harmful treatments for the patient. It's like a fire alarm going off when there's no fire; it's a false positive signal.

Type II error — A Type II error, or false negative, is declaring that a person is well when he or she is ill.

This error occurs when a diagnostic test or doctor incorrectly identifies an ill patient as being healthy. It can lead to delayed or missed treatment, allowing the illness to progress and potentially worsen the patient's prognosis. It's like a fire alarm failing to go off when there actually is a fire; it's a false negative signal.

Appraisal delay — The first stage of delay, defined as the number of days that elapsed from the day the patient first noticed their symptom up to the day they concluded they were ill.

This initial delay is influenced by factors such as the severity of pain (reducing delay) and researching symptoms (increasing delay). It reflects the time taken for an individual to interpret their bodily sensations as indicative of illness. It's like noticing a strange noise in your car but not immediately thinking it's a serious problem until a few days later when it gets louder and you realize it's an engine issue.

Illness delay — The second stage of delay defined as the number of days from the end of appraisal delay, when the patient concluded they were ill, up to the day when they decided to seek professional help.

This stage involves the decision-making process after recognizing illness. Factors like an increase in symptoms (reducing delay) or negative images about the outcome (increasing delay) can influence its length. After realizing your car noise is an engine problem (appraisal delay ends), illness delay is the time you spend debating whether to take it to a mechanic or try to fix it yourself before finally deciding to call for professional help.

Utilisation delay — The final stage of delay – defined as the number of days from the end of illness delay, the point at which the patient decided to seek professional help, to the time of the interview, when the patient was actually seen in the clinic.

This delay is influenced by practical and perceived barriers to accessing care, such as concerns about cost (increasing delay) or belief in curability (reducing delay). It represents the logistical and motivational hurdles to receiving treatment. After deciding to take your car to the mechanic (illness delay ends), utilisation delay is the time it takes to actually book the appointment, get the car there, and have it seen, which might be delayed by cost concerns or scheduling difficulties.

hypochondriasis — A persistent fear of having a serious medical illness.

Individuals with hypochondriasis misinterpret normal bodily sensations or minor symptoms as signs of severe disease, despite medical reassurance. It is often accompanied by other anxiety disorders and involves a cycle of perceived threat, apprehension, and checking behaviours. It's like constantly checking your phone for notifications even when you know there aren't any, but every slight vibration or sound makes you fear you've missed something critical.

rational — Based on or in accordance with reason or logic.

In the context of health psychology, rational non-adherence suggests that patients make reasoned decisions about not following medical advice by weighing the perceived costs and benefits of adherence. If the costs outweigh the benefits, they rationally choose not to adhere. Deciding not to buy a new phone because its high cost outweighs the perceived benefits of its new features, even if it's a good phone, is a rational decision based on a cost-benefit analysis.

Health Belief Model — A model that aims to predict when a person will engage in preventative health behaviours such as stopping smoking, taking up exercise, attending check-ups and yearly screening tests.

According to this model, the likelihood of an individual following medical advice depends on their assessment of the perceived threat of illness (seriousness, susceptibility, cues to action) and a cost-benefit analysis of the recommended action (perceived benefits vs. barriers). Deciding whether to get a flu shot involves the Health Belief Model: you consider how likely you are to get the flu (susceptibility), how bad it would be if you did (seriousness), if you've seen others get sick (cues to action), and if the benefits of the shot outweigh the discomfort or cost (cost-benefit analysis).

socially desirable — Responding to a question in a way that you feel is expected by the researcher or socially accepted.

This is a type of response bias in self-report measures where participants alter their answers to present themselves in a positive light, rather than providing honest information. It can significantly affect the validity of data, especially in sensitive areas like adherence to medical advice. When a teacher asks if everyone did their homework, a student who didn't might say 'yes' to avoid looking bad, even if it's not true. That's a socially desirable response.

reinforcers — Something that encourages the replication of a desired behaviour.

Reinforcers can be external (like money), internal (a positive feeling), or vicarious (observing others). In health psychology, they are used in behavioural techniques to increase adherence to medical requests, such as monetary incentives for immunisation or making medication fun. Giving a child a sticker for tidying their room is a reinforcer; it makes them more likely to tidy their room again in the future.

target population — A target population is the group of people that a researcher is interested in investigating.

The sample for a study is drawn from the target population, and the findings are intended to be generalised back to this larger group. Defining the target population is crucial for determining the representativeness and generalisability of research. If a researcher wants to study the reading habits of teenagers, the 'target population' would be all teenagers, and they would then select a 'sample' of teenagers from that group to participate in their study.

nociception — The encoding and processing of harmful stimuli in the nervous system, and, therefore, the ability of a body to sense potential harm.

Nociception is the physiological process by which noxious stimuli are detected by sensory neurons (nociceptors) and transmitted to the brain. It is distinct from the subjective experience of pain, which involves psychological factors. Nociception is like the smoke detector in your house; it detects smoke (harmful stimulus) and sends a signal. Pain is like your brain interpreting that signal and deciding if there's a fire, how big it is, and how to react.

noxious — Harmful, poisonous, or very unpleasant.

In the context of pain, a noxious event or stimulus is one that is damaging or potentially damaging to body tissues, triggering nociceptors. The intensity of a noxious event was once thought to directly correlate with pain intensity. Touching a hot stove is a noxious stimulus because it's harmful and unpleasant, triggering a pain response.

Gate Control Theory — A theory that suggests pain perception is a combination of sensory experience and psychological gates that can increase or decrease the perception of pain.

Proposed by Melzack, this theory argues that nerve impulses producing pain pass through 'gates' in the spinal cord, which can be opened or closed by both ascending sensory signals and descending messages from the brain, as well as other information like attention and emotions. Imagine a gatekeeper at a castle (the spinal cord) deciding which messages (pain signals) get through to the king (the brain). The gatekeeper can be influenced by the urgency of the message itself (sensory input) and by orders from the king or other advisors (psychological factors like attention or emotion).

neuromatrix — A network of neurons in the brain that responds to information from the senses and also generates a characteristic pattern of impulses that indicate that the body is whole and is also your own.

Melzack proposed the neuromatrix to explain phantom limb pain, suggesting it creates a 'neurosignature' or mental hologram of the body. Even if a limb is removed, the neuromatrix continues to generate this neurosignature, leading to sensations, including pain, from the missing limb. Think of the neuromatrix as your brain's internal 'body map' or blueprint. Even if a part of the physical building (limb) is removed, the blueprint (neuromatrix) still exists and can generate sensations related to that missing part.

visual analogue scale (VAS) — A tool that is used to measure a characteristic, attitude or feeling across a continuum of values.

The VAS typically consists of a 100mm line with descriptors at each end representing the extremes of a feeling (e.g., 'no pain' to 'worst pain possible'). Patients mark their current level on the line, allowing for a quantifiable and continuous measure of subjective experiences like pain intensity. Imagine a dimmer switch for a light; instead of just 'on' or 'off', you can choose any level of brightness in between. A VAS is like that dimmer switch for measuring feelings, allowing for a continuous range of responses.

Pain Rating Index (PRI) — A score calculated from the McGill Pain Questionnaire based on the words chosen by patients to describe their pain.

The PRI quantifies pain by assigning numerical values to the words selected by patients from different categories (sensory, affective, evaluative) on the McGill Pain Questionnaire. This provides a comprehensive, multi-dimensional measure of pain experience. If you're rating a restaurant, you might give scores for food quality, service, and ambiance. The PRI is similar, combining scores from different 'dimensions' of pain to give an overall index.

projective test — A personality test that uses ambiguous stimuli such an ink blots or the Thematic Apperception Test images discussed here.

The response given to the stimuli is thought to reveal hidden emotions and conflicts which the individual projects onto the image. These tests are widely used, often in clinical contexts, but are subjective and can have low reliability and validity. Imagine looking at a cloud and seeing a specific animal or object; a projective test is similar, where your interpretation of an ambiguous image is believed to reveal something about your inner thoughts or personality.

maturity — In this context is the capacity to set high but attainable goals, willingness and ability to take responsibility for the task, and relevant education and/or experience of an individual or a group for the task.

This concept is central to Hersey and Blanchard's Situational Theory of Leadership, where an effective leader adapts their style to the maturity level of their followers. Maturity is task-specific, meaning a person can be highly mature for one task but low for another. Think of teaching a child to ride a bike: a very young child (low maturity) needs 'telling' (high direction, low support), while an older child who knows how to balance (high maturity) might just need 'delegating' (low direction, low support) for a new route.

social desirability bias — Trying to present oneself in the best light by determining what a test is asking.

This bias can affect the validity of psychometric tests like the LPC scale, as individuals may answer in a way they believe is socially acceptable or desirable rather than truthfully. It makes it difficult to get an accurate measure of personality characteristics. When you fill out a survey asking if you always follow traffic laws, you might say 'yes' even if you sometimes speed, because you want to appear as a good driver. This is social desirability bias.