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113 Terms

1
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Abstract

Summary of the entire investigation

Should be written last

Includes: aim

Hypothesis

Type of design

Variables

No of participants and sampling method

Results

Conclusion

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Introduction

Sets the scene

Puts the aim and hypothesis of the investigation into context

3
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Method

Chronological order of how u conducted your study

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Results

A summarised account of the data collecting using descriptive statistics and graphs

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Discussion

Outline a conclusion by explaining your results

Evaluating your study

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Referencing

Last name , first initial . (Year) Title/ Name Of Book . Publisher , (issue number) , page number

7
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Peer review

Sent of to other psychologist experts who either accept reject or suggest it should be made better

8
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Institution bias research from prestigious university’s are looked upon more favourably

9
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Experiment vs correlation

How the IV affects the DV (how salt vs sugar affects memory) vs if one factor affects another (the older we are the slower our reactions)

10
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Strengths of correlations (2)

-easy to identify relationship between co variables (scatter graph)

-can study varaibles that would be unethical to test experimentally

11
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Weaknesses of correlations (3)

-cannot determine cause and effect

-could be misinterpreted

-could be a third variable

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No correlation

No relationship between the variables

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Correlation coefficient

A number between -1 and +1 that tells us how strong the relationship is

+1.0 perfect positive

0 no correlation

-1.0 perfect negative

14
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Historical/ temporal validity

Whether findings will still be valid over time

15
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Face validity

Does something look like it will measure what it is supposed to measure

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Ecological validity

Whether the study reflects real life situations

17
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Population validity

Whether the sample is representative of the wider target population

18
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Concurrent validity

The amount of agreement between two different tests

One test is new and the other is well established

If the participants scored similarly in both tests this meant it had high concurrent validity

19
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External validity

Will the findings generalise to other populations locations or times and still hold true

20
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Internal reliability

Whether a measure has consistency with itself

21
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External reliability

The consistency of two or more sets of results with the same measuring device

22
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Inter-rater reliability

Two or more researchers have a high agreement on a measure

Reasearchers would compare results and check they matched by using correlation

23
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Test-retest reliability

Testing participants more than once

One person should get the same or similar scores on the same test but at separate occasions

24
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Confidentiality

Keeping data private

Keep files in a safe place

25
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Deception

Tell all information do not leave anything out

Thorough debrief, counselling sessions

26
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Competence

Having the knowledge and skills to perform the work of a psychologist

Studying pyschology to have these skills

27
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Debrief

Full explanation of aims and consequences

Writing a report

28
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Withdrawal

The right to leave the study

29
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Protection from psychological and physical harm

Participants must leave in the same state they joined

Counselling

30
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Informed consent

Tell the participants what’s included in the study

31
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Privacy

Make sure the client is in control and participants do not have to answer if they do not want to

32
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Can Do Can’t Do With Participants In Pyschology

Confidentiality

Deception

Competence

Debrief

Withdrawal

Protection from psychological and physical harm

Informed consent

Privacy

33
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Pilot study

Initial run through of the procedures to be used in an investigation

Selecting a few people and trying the study on them

34
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Purpose of a pilot study

-saves time and money by identifying flaws in the procedure

35
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Extraneous variables

Other variables that are not the IV that could affect the DV

Could affect validity

36
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Counterbalancing

One group does condition A then B and the other group does condition B then A

37
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Target population

The set of people researchers want to find out about

38
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Sample

A small set of people taken from the target population

39
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Random sampling

Names in a hat, everyone has an equal chance of getting picked

40
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Systematic sampling

Every fourth person from a list

41
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Opportunity sampling strengths

anyone available at the time

-easy and less time consuming

-collects participants with similar characterisitics

42
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Opportunity sampling weaknesses (2)

-higher chance of researcher bias

-could not be representitive

43
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Self selected sampling strengths (3)

-reaches a large variety

-easy

-participants will remain commited

44
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Self selected sampling weaknesses (3)

-might not get relevant people

-volunteer bias

-may not be enough interest

45
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Systematic sampling strengths (3)

-more generalisable

-unbiased -increases validity

-likely to gain a varied sample -representative

46
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Systematic sample weaknesses (2)

-difficult to carry out -time consuming

-could accidentally create a biased sample

47
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Random sampling strengths (2)

-reduces researcher bias

-representative

48
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Random sampling weaknesses (2)

-time Consuming

-lacks generalisation

49
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Stratified sampling

Sampler groups target group into sections based on a key characteristic that should be shown in the final sample (different classes)

50
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Stratified sampling strengths (1)

-if list order is randomised -unbiased

51
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Stratified sampling weaknesses (2)

-time consuming

-difficult as sub groups must be known

52
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Representative

How well a sample reflects the target population

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Population validity

Being able to generalise results from our sample to the target population and still hold true

54
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Aim

What you aim to find out for example: if chewing gum affects memory

55
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Non-directional hypothesis

Predicting that there will be an effect but not the direction of the effect (positive/negative)

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Directional hypothesis

Predicting the direction of the effect (positive/negative)

57
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Null hypothesis

Predicts no effect

58
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Things to include in a hypothesis

-IV and how it is manipulated

-DV and how it is measured

-directional or non-directional prediction of result

59
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Strengths of questionnaires (3)

-no Immediate judgement

-easy to administer (email)

-quantitive can be easy to analyse

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Weaknesses of questionnaires (3)

-response bias could say same thing for each question

-people could leave open questions blank or provide little detail

-cannot follow up

61
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Closed questions

Only provide quantitative data

Response could lack detail

62
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Likert scale

How much u agree with the question

63
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Rating scale

Rating in a numerical scale

64
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Double barrelled question

Includes more than one topic but only allows a single answer

65
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Structured interview

Only asks predetermined questions

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Semi structured

Some are pre planned and others are created in the interview

67
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Unstructured interview

Topic is planned but no questions for discussion

68
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Behavioural categories

Clearly defined behaviours are identified which can be observed and recorded

Placed on a checklist and talied every time the behaviour occurs (eating, talking, laughing)

69
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Event sampling

Behaviours are tallied as they occur for a set amount of time (for 30 minutes)

70
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Event sampling strengths (2)

-seeing more behaviour over a longer period of time

-more accurate reflection of events

71
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Event sampling weaknesses (2)

-time consuming

-behaviours could be missed -reduces validity

72
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Time sampling

Observing and recording behaviour at specific time intervals (every 5 minutes for 30 seconds)

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Time sampling strengths (2)

-less likely to miss behaviours

-understanding how long a behaviour occurs for or how behaviours change over a period of time

74
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Time sampling weaknesses (2)

-could miss important behaviours

-reduces detail

75
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Covert

Do not know they are being observed

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Covert strengths (2)

-natural behaviour so access to sensitive behaviours

-no demand characteristics

77
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Covert weaknesses (3)

-ethical issues -no consent

-cannot follow up

-could lead to distrust if they discover they are being watched

78
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Overt

Participant knows they are being watched

79
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Overt strengths (2)

-ethical transparency

-can interact more easily so ease of data collection

80
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Overt weaknesses (3)

-could show demand characteristics

-lack of natural behaviour

-limited access to sensitive behaviour

81
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Naturalistic

In natural environment

82
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Naturalistic strengths (2)

-high ecological validity

-unbiased behaviour

83
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Naturalistic weaknesses (2)

-low reliability (harder to replicate)

-lack of control over extraneous variables

84
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Controlled

controlled by the researcher but with no IV

85
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Controlled strengths (3)

-higher reliability (easier to replicate)

-controlled extraneous variables

-researchers can focus on behaviours of interest without distraction

86
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Controlled weaknesses (3)

-demand characteristics

-not their natural behaviour

-low ecological value so behaviour cannot be applied to everyday experience

87
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Participant

Researcher is involved

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Participant strengths (2)

-builds trust and creates a relationship

-gains a deeper understanding of behaviours and interactions

89
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Participant weaknesses (3)

-ethical issues

-hard balancing roles of participant and observer

-could feel behaviour on a personal level

90
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Non-participant

Researcher remains separate

91
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Non-participant strengths (3)

-no distractions so easier data recording

-remains a degree of detachment so reduces bias

-access to larger groups to generalise findings

92
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Non-participant weaknesses (1)

-limited depth of understanding so potential for misinterpretation

93
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Repeated measures design

The same participants participate in both conditions

94
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Repeated measures strengths (2)

-individual differences do not distort effects of the IV on the DV

-counterbalancing reduces order effects

95
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Repeated measures weaknesses (2)

-order effects (practice, fatigue)

-seeing the experimental task more than once means more likely to guess aim

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Independent measures

One group of participants participate in 1 condition and the other group participates in the other condition

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Independent measures strengths (2)

-no practice effects

-less likely to guess aim and change behaviour

98
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Independent measures weaknesses (2)

-individual differences -extraneous variable

-more participants needed

99
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Matched pairs

One group of people take part in one condition and another group of people who are matched with a certain characteristic of someone in the first group take part in the second condition

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Matched pairs strengths (3)

-no order effects

-cannot guess aims as only seen once

-effects of individual characteristics are highly controlled