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72 Cards in this Set

  • Front
  • Back

Lab Experiment

IV manipulated by experimenter to determine DV.
All other variables are controlled.
Participants have an equal chance of being in either condition.

IV (Independent Variable)

The variable that is manipulated by the experimenter.

DV (Dependent Variable)

The variable that is measured by the experimenter.

Extraneous Variables

A variable that could affect the DV, therefore it needs to be controlled.

Confounding Variables

An extraneous variable that has not been controlled.

Operationalisation

Variables must be put in a form which is directly measurable e.g. rating happiness on a scale 1-5.

Field Experiment

IV is manipulated by experimenter.


Experiment is done in participants' natural environment.

Quasi Experiment

The experimenter does not have control over the IV as it is a preexisting condition e.g. male and female, young and old.

Natural Experiment

The experimenter does not have control over the IV as it is a naturally occurring change.

Ecological Validity

The extent to which the results of a study are able to be applied to real-life settings.

Demand Characteristics

The participant guesses the aim of the experiment and changes their behaviour to produce the result that the experiment is looking for.

Social Desirability Bias

The participant acts or answers questions in a way that will be viewed favorably by others e.g. over-reporting 'good behaviour' or under-reporting 'bad behaviour'.

Researcher Effect

Where a researcher's cognitive bias causes them to influence the behaviour of the participant.

Null Hypothesis

A hypothesis which predicts there will be no difference/relationships.


The IV has no effect on the DV.


There is no relationship between the two co-variables.


DV, IV, IV

Alternative Hypothesis

A hypothesis that predicts there will be a difference/relationship; the IV will have an effect on the DV.

Directional Hypothesis (1 tailed)

A type of alternative hypothesis. Predicts the direction of the effect or difference. IV, DV, IV

Non-directional Hypothesis (2 tailed)

A type of alternative hypothesis. Predicts that there will be a difference, but doesn't give direction. DV, IV, IV

Sample

A group of participants that are picked to represent the target population. They should give equal representation.

Target Population

The entire group of individuals categorized by characteristics or things in common e.g. students, UK citizens, car owners.

Biased Sample

A sample which doesn't give the target population equal representation e.g. students in a study about global population.

Random Sampling

Every member of the target population has an equal chance of being selected e.g. putting names in a hat.

Opportunity Sampling

Selecting participants that are available at the time e.g. a university using students as participants.

Volunteer Sampling

Volunteers determine their own involvement in the study e.g. responding to an advert.

Stratified Sampling

The target population is divided in to important subcategories e.g. male and female, the sample is them picked proportionally.

Systematic Sampling

The sample is obtained by selecting every nth person in the target population.

Research Design

The strategies that you choose for the collection, measurement and analysis of data.

Independent Groups Design

Different participants used in each condition. Participants are randomly assigned to either condition.

Repeated Groups Design

The same participants experience both conditions.

Matched Pairs Design

Participants are different in both conditions. Participants are assessed and paired with a participant of equal capability who will be placed in the other condition.

Order Effects

Results may change depending on the order participants experience each condition. Practice effect - results may improve due to practice. Fatigue effect - participants may get bored in the 2nd condition.

Counterbalancing

Half of participants will do condition A before B, the other half will do condition B before A. This reduces the risk of order effects.

Participant Variables

Extraneous variables related to the characteristics and abilities of individual participants.

Correlation

A measure of the strength of the relationship between two co-variables.

Co-variables

There is no determined independent or dependant variable. Neither variable is set or controlled by the researcher.

Positive Correlation

Both variables increase and decrease together e.g. as x increases, y increases.

Negative Correlation

As one variable increases, the other variable decreases.

Correlation Coefficient

A number ranging from -1 to 1 that describes the strength of the relationship. -1 is negative, +1 is positive and 0 is no correlation.

Naturalistic Observation

No variables in the environment are controlled. Involves observing subjects in their natural environment.

Controlled Observation

Conditions and variables in the environment are controlled by the researcher. This may be done in a Lab.

Overt Observation

Participants may be aware that they are being observed however, researchers may try to be unobtrusive.

Covert Observation

Participants may be unaware that they are being observed.

Participant Observation

The researcher is a member of the group that is being observed. They may have infiltrated the group.

Non-participant Observation

The researcher is not a part of the group being observed. They are watching their behaviour.

Behaviour Checklist

The observer should have a list of behaviour to look for. This ensures that observers look for the same thing as different observers may have different interpretations on behaviour.

Inter-observer Reliability

The degree to which different observers agree.

Time Sampling

Observer records what behaviour occurs at certain time intervals e.g. facial expression every minute.

Event Sampling

Recording how many times a certain behaviour occurs within a set amount of time e.g. number of smiles in 1 hour.

Observer Effect

When subjects change their behaviour because they are aware that an observer is present.

Questionnaire Survey

A self-report technique.


Asking participants about their attitudes, behaviour or intention.

Open Question

The researcher does not restrict the range of answers.


Participants can express what they think in their own words.

Closed Question

The researcher determines the range of answers.


Participants must select their answers from a list of given options.

Filler Question

Irrelevant questions set to hide the true intention of the study, this is done to attempt to reduce the affects of demand characteristics.

Lie Detection Question

A question to determine whether social desirability bias may be affecting the results of the questionnaire.

Qualitative Data

Information about something that can't be measured.

Quantitative Data

Data that can be measured and put in numerical form.

Interview

The researcher collects information from the participants directly in an interview. This can be done over the phone or face to face.

Structured Interview

Pre-determined questions are asked in a set order. Every interview should have an identical 'script'.

Interview Schedule

A set of prepared questions standardised so that each interviewee gets asked the questions in the same order.

Unstructured Interview

Only the topic is predetermined, there are no set questions. This is more like a conversation and allows the interviewer to ask for more detail.

Semi-structured Interview

A pre-determined set of open questions which allow the interviewer to get detailed answers.

Interviewer Effect

The interviewer's qualities or behaviour could lead to social desirability bias or skewed answers.

Interviewer Bias

Characteristics of the participants may lead to the interviewer giving subconscious cues resulting in biased responses.

Social Desirability Bias

When someone acts or responds to a question in a way that will be viewed favourably by others.

BPS Ethical Guidelines

(The British Psychological Society) Guidelines to make sure there is consideration of what is acceptable or appropriate behaviour in the pursuit of a personal or scientific goal.

Informed Consent

The participant gives consent after being fully informed of the risks involved in the study

Debriefing

After the experiment is completed participants are debriefed. They are told about every aspect of the study.

Confidentiality

Participants must remain anonymous unless they give consent to be named. Normally assigned a number or a code instead of a name.

Protection From Harm

Participants must not be put at risk of physical or psychological harm. Participants must be given support if they request it.

Privacy

The participant should have full control over what information is given to the researcher and published in the study.

Reliability

Results are reliable if they are consistent or replicated in a repeat experiment.

Confirmation Bias

The tendency to notice information that confirms one's preexisting beliefs whilst ignoring alternative information.

Cognitive Bias

Individuals form their own perception of reality, which may dictate their behaviour or lead to inaccurate or illogical judgement.