2 Mark Definitions Flashcards

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1
Q

Lab Experiment

A

An experiment in a controlled setting where the IV is manipulated and the DV is measured and all other variables are controlled. E.g measuring peoples memory by getting them to recall words learnt in an artificial setting.

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2
Q

Field Experiment

A

Controlled experiment carried out in participants natural environment but the IV is still manipulated the the DV is measured. Not all variables can be controlled. E.g measuring children behaviour is school with male and female teachers.

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3
Q

Natural Environment

A

Experiment carried out in a natural setting but the IV is not manipulated and occurs naturally but DV is still measured. Done when it would be unethical to manipulate IV yourself e.g measuring children’s development when their parents are dead.

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4
Q

Operationalise

A

This is when the researcher decides what they want to measure when investigating a particular variable for example they may operationalise aggression by looking for behaviours like shouting, stomping, punching.

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5
Q

Null Hypothesis

A

A prediction that the IV ill have no affect on the DV. For example, there will be no difference in the scores for males and females on a maths test.

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6
Q

Non - Directional Hypothesis

A

Predicts there will be a difference between two conditions and does not say which condition will score higher but does tell us that the IV will affect the DV.

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7
Q

Directional Hypothesis

A

Prediction which tells us how the experimenter thinks the IV will effect the DV in an experiment. E.g males will score higher in a maths test than females will.

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8
Q

Questionnaire

A

A list of predetermined questions to which a participant responds in written form. This is a self-report method to find out people feelings on a certain topic.

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9
Q

Case Study

A

An in depth study of an individual or group of individuals over a long period of time using a variety of methods. There is no manipulation of an IV. For example case HM.

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10
Q

Reliability

A

Refers to how consistent a set of results are. If you repeat the study using standardised procedures you should get similar results.

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11
Q

Content Analysis

A

Study of second hand information to gain insight into human behaviour and thought. Is a way of turning qualitative date into quantitative.

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12
Q

Interview

A

A researcher will directly ask participant questions and participant will give a verbal answer which is recorded by the interviewer. This can be structured meaning there are pre-determined questions that are stuck to throughout or unstructured which is when there are pre-determined questions but the interviewer can ask other ones depending on the participants answers.

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13
Q

Self-reported data

A

Participants give their own data on how they feel, this is usually done through things like questionnaires or interviews where participants views are given and not the researchers.

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14
Q

Observation

A

Either conducted in an artificial or natural setting. Researcher does not interfere in any way and just observes the behaviour in question of an individual or group. Covert means the participants are not aware of being observed and overt means they are aware.

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15
Q

Pilot Study

A

A small scale study conducted by the researcher before the main study to check whether the standardised procedures work in an experiment or to find out if questions on a questionnaire are clear. Like a trial run.

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16
Q

Correlation Study

A

A way of finding a relationship between two variables. This is measured using a correlation coefficient which shows us whether the relationship is a positive or negative correlation.

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17
Q

Extraneous Variable

A

Any variable other than the IV which may have an effect on the DV. For example temperature may effect peoples performance on a memory test when comparing males and females.

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18
Q

Confounding variable

A

Any variable other than the IV that does have an affect on the DV. For example temperature could have made peoples memory worse when comparing males and females on a memory test.

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19
Q

Test-Retest Reliability

A

This involves repeating an experiment after a reasonable amount of time and comparing the results. If the results are similar results are said to be reliable.

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20
Q

Split-Half reliability

A

Randomly split a the test into two halves. If scores on each half are similar then this test is said to be reliable.

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21
Q

Inter-rater reliability

A

This involves comparing scores of researchers on an observation. If there is found to be more than 85% agreement then scores are reliable.

22
Q

Validity

A

Refers to how truthful findings from research are. For example, if we have controlled all extraneous variables in a lab experiment then we can be fairly sure the IV is causing the change in the DV. This is internal validity.

23
Q

Ecological validity

A

This is when we believe findings are generalisable outside of research to the target population because the experiment accurately represented every day life.

24
Q

Content validity

A

This is when we are happy that the content of a test or questionnaire focuses on our area of interest. For example you wouldn’t have maths questions in an english test.

25
Q

Concurrent validity

A

This is when participants score similarly on a new test as they would on a well established test. For example you would expect participants to score similarly on two different personality tests.

26
Q

Construct Validity

A

This is when the test fully covers all parts of a subject being investigated. For example can IQ test wouldn’t just measure someones maths ability.

27
Q

BPS Code

A

A list of guidelines written by the British Psychological society that psychologists are expected to follow when doing research. The code aims to make sure psychologists respect the rights of their participants.

28
Q

Protection from harm

A

Participants should not experience physical or psychological harm when taking part in research. This includes embarrassment and low self-esteem.

29
Q

Informed Consent

A

Participants must be given comprehensive information about the purpose of research and their part in it so they can make an informed decision about wether to take part or not.

30
Q

Deception

A

A participant is not told the true aims of research so they cannot give valid consent. This is often done to prevent demand characteristics. Usually think they are doing something for another reason that what is true.

31
Q

Right to Withdraw

A

Participants have the right to withdraw from research at any time if they feel uncomfortable. Also have the right to refuse permission for the researcher to use their data.

32
Q

Confidentiality

A

Participants hold not be identified personally within reporting of research and are generally identified as a number.

33
Q

Privacy

A

Area of our lives that no one has the right to invade - this might be our perusal space or may be to do with places we would not expect to be observed e.g toilet.

34
Q

Ethical committees

A

Group of people in a university who decide whether a study can go ahead on ethical grounds. They will do a cost-benefit analysis weighing the possible risks to participants against the possible scientific benefits the research may bring.

35
Q

Debriefing

A

Participants who have deceived are told the true purpose of the research at the end of the study. However this does not turn back time so some psychological harm will still be done in most cases.

36
Q

Radnom sampling

A

This is when group of participants from the target population are chosen in a way that every member has an equal chance of being selected. This is usually done via the lottery method or a random number generator.

37
Q

Voluntary Sample

A

A method of obtaining a sample of participants that relies on volunteers to make up the sample. Usually done by advertising in a newspaper or notice board.

38
Q

Opportunity Sample

A

A method of obtaining a sample by selecting people who are most easily available at the time of study. Usually done by asking passers by on the street.

39
Q

Stratified sample

A

This is when you identify all demographics in a target population. You then work out the proportion of each demographic that you will need to make up your sample. Then randomly select the right proportion in each demographic.

40
Q

Quota Sampling

A

This is when you identify all demographics in a target populations and then work out the proportion of each demographic you will need to make up your sample. You then use opportunity sampling to select the right proportion.

41
Q

Systematic Sampling

A

A method of obtaining a representative sample by selecting every nth person form the target population. First person is usually selected randomly and then from there you choose every nth person e.g every 5th person.

42
Q

Demand Characteristics

A

A cue that make participants aware of what the researcher expects to find which can change how the participant behaves.

43
Q

Investigator effects

A

This is anything that an investigator does that has an affect on a participants performance in a study, other than what was expected.

44
Q

Quantitative data

A

This is numerical data only which is concerned with quantity. It is usually generated through experiments of questionnaires.

45
Q

Qualitative data

A

Data which expresses the quality of things. It is descriptive data involving words meaning and pictures. It can be turned into quantitative data by placing into categories.

46
Q

Coding System

A

This is a systematic method of recording observations in which the individual behaviours are given a code for ease of recording. e.g stress would have codes like high heart rate.

47
Q

Categorisation

A

This is making behaviour into different categories so you can look for different behaviours while observing.

48
Q

Nominal Data

A

Not very detailed, just where data is placed in separate categories

49
Q

Ordinal data

A

Ranked data where data is placed in a hierarchy but there are no equal measurements between ranks

50
Q

Interval data

A

Units of equal measurements used between each score. e.g time, temperature, height

51
Q

level of Significance

A

this refers to the minimum probability that a result is due to chance.

52
Q

Co-Variable

A

Two or more quantities in correlational analysis that vary systematically with each other.