psychology research methods

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104 Terms

1
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what are lab experiments?

experiments that are conducted in a highly controlled environment

this doesn’t have to be a lab, it can be a classroom where conditions are well-controlled

2
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what are strengths of a lab experiment?

  • high control over extraneous variables, so can ensure that the DV is the result of the IV being manipulated so high internal validity

  • replicable because of high level of control which is vital to check if the experiment is valid

3
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what are the limitations of lab experiment?

  • lack of generalisability because the artificial conditions so has low external validity

  • demand characteristics because participants often know they are being tested in a lab

  • not representative of real life experiences so low mundane realism

4
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what are field experiments?

experiments when the IV is manipulated by the researcher in a more natural, everyday environment

5
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what are some strengths of a field experiment?

  • higher mundane realism as the environment is more natural

  • high external validity because more authentic, valid behaviour is studied as pp may be unaware of being studied

6
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what are some limitations of a field experiment?

  • loss of control over extraneous variables

  • cause and effect is harder to establish 

  • lack of replicability

  • ethical issues because of lack of consent, invasion to privacy

7
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what are natural experiments?

experiments when the researcher takes advantage of pre-existing independent variables

IV is naturally occurring and not necessarily the setting

8
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what are some strengths of natural experiments?

  • provides opportunities for research which is otherwise unethical

  • high external validity as involved in real-life issues

9
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what are some limitations of natural experiments?

  • naturally occurring events happen very rarely

  • pp may not be randomly allocated to experiments (only applies when there is an independent groups design)

10
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what are quasi experiments?

IV based on an existing difference between people, no one has manipulated this

eg age or gender

11
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what are strengths of quasi experiments? 

controlled so same strengths as a lab

  • high control over extraneous variables, so can ensure that the DV is the result of the IV being manipulated so high internal validity

  • replicable because of high level of control which is vital to check if the experiment is valid

12
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what are limitations of quasi experiments?

  • confounding variables as cannot randomly allocate pp

13
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which experiments are not a ‘true’ experiment?

natural and quasi

14
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why are some experiments not classified as ‘true’?

cannot be manipulated by the researcher

15
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what is independent group experimental design?

sample is split into two groups 1st group participates in condition A and 2nd group participates in condition B

16
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what is repeated measures experimental design?

sample takes part in both condition A and B of experiments

17
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what is matched pairs experimental design?

pp are paired with other pp on a variable or variables related to study

each person from the pair goes to a different experimental condition

18
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what is a limitation to independent groups experimental design? And how can it be overcome?

  • individual differences

random allocation

19
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what is are limitations to repeated measures experimental designs? And how can it be overcome?

  • order effects

  • demand characteristics

counterbalancing

20
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what is limitation of matched pairs experimental design? And how can it be overcome?

  • time consuming

  • expensive

data bases

21
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what is the strength of independent group experimental design?

  • no order effects

22
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what is the strength of repeated measures experimental design?

  • pp variables are controlled

  • less pp needed

23
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what are the nuisance variables in research?

  • extraneous variables

  • confounding variables

24
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what are extraneous variables?

all variables which are not the independent variable but could affect the results (DV) of the experiment. It should be controlled where possible

25
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what are confounding variables?

variables that have affected the results (DV) apart from the IV

it could be an extraneous variables that is uncontrolled

26
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what is the meaning of validity?

extent to which a research technique actually measures the behaviour it is claimed to measure

27
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what is internal validity?

  • validity inside the study

  • does IV really cause the change on the DV?

  • Did the researcher test what he set out to test?

28
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what is external validity?

ability to distinguish results outside of research situations to..

  • different places/ settings ecological validity

  • different people/populations population validity

  • different times temporal validity

affected by internal validity, as cannot generalise results of study if it has low internal validity

29
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what are the types of researcher bias in relation to confounding variables?

  • investigator effects

  • experimenter expectancy effects

30
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what is investigator effects?

refers to unwanted influence of the researcher on the research outcome

e.g

  • failing to follow standardised procedures

  • not recording events properly

31
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what is experimenter expectancy effects?

any expectations of the researcher may influence the outcome by affecting the pp 

e.g

  • smiling

  • nodding of head

  • tone of voice

32
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what are the types of participants reactivity in relation to confounding variables?

  • demand characteristics

  • evaluation apprehension /social desirability bias

33
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how is investigator effects and experimenter expectancy overcome by?

  • double blind procedure

  • standardised instructions and procedures

  • high control of research situation

  • use of the same researcher

  • avoid ‘cues’ and ‘expectations’ being conveyed to pps

34
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how is demand characteristics overcome by?

  • single blind procedure

  • tell pp another aim instead of real one

35
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how is evaluation apprehension/ social desirability  overcome by?

treat all pp in the same way, make it equally clear that their behaviour is of interest

36
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what does face internal validity mean?

does the test look like it measures what it says it measures (on the surface)

e.g

ask other people

37
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what does construct internal validity mean?

whether a measure successfully measures the concept it is supposed to 

e.g

attachment type

38
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what does concurrent internal validity mean?

assesses validity by comparing it to an established test for the same measure

e.g

IQ or Stress test

39
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what does predictive internal validity mean?

how well does the test predict future behaviour

40
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what are the two types of external validity?

  • population validity

  • ecological validity

41
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what are some other threats to generalisability/validity?

  • androcentrism (if it only applies to men and therefore it has gender bias)

  • ethnocentrism (if the study was only conducted in one culture)

  • gynocentrism (if it only applies to women)

42
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what is the an aim?

a general statements of why a study is taking place

43
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what is a hypothesis?

precise, testable statement giving a research prediction and stating the variables being investigated

44
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what is experimental/alternative hypothesis?

predicts that differences in the DV will be beyond the boundaries of chance and will be caused by the manipulation of the IV

45
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what is correlational hypothesis?

predicts a relationship between two variables

46
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what is the null hypothesis?

the hypothesis of no difference. It predicts the the IV will not affect the DV

47
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what is one tailed/ directional?

predicts there will be a difference caused by the IV and the direction of the results

48
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what is two tailed/ non directional?

predicts there will be a difference is the results but does not predict which direction

49
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what are all the sampling techniques?

  • random

  • systematic

  • stratified

  • opportunity

  • volunteer

50
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what is a sample?

a group of people that take part in research

they are selected from, and should be representative of the target population

51
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what is sampling?

a method used to select people from a population, ideally smaller, more representative group, the purpose being to create results which can be generalised beyond the participants of the study

52
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what is target population?

group of people from whom the sample is drawn

53
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what is opportunity sampling?

taking the sample from people who are available at the time the study is carried out and fit the criteria

54
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what is random sampling?

every member of the population has an equal chance of being chosen

55
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what is volunteer samplying?

self selected sample consists of pp becoming in the study because they volunteer when asked or in response to an advert

56
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what is stratified sampling?

classifying the populations into categories and then choosing a sample from each category in the same proportion as they are in the population

57
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what is systematic sampling?

choose every nth person to be selected to participate in your sample

58
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what are the limitations of opportunity sampling?

  • not representative of target population

59
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what are the strengths of opportunity sampling?

  • easy,quick

60
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what are the limitations of random sampling?

  • time consuming

  • small minority group within your target population and may distort our results

61
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what are the strengths of random sampling?

  • more representative as each member has an equal chance of being selected

62
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what is limitations of stratified sampling?

  • time consuming

  • care must be taken to ensure each key characteristic present in population is selected across the strata or would be bias

63
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what are the strengths of stratified sampling?

  • more representative

64
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what are the strengths of volunteer sampling?

  • easy to do

  • can achieve a large sample

65
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what are the limitations of volunteer sampling?

  • one type of person volunteers so not representative

66
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what is limitation of systematic sampling?

  • list assembled in a way that isn’t random so bias may be present

67
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what is a strength of systematic sampling?

  • meant to be representative

68
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what are pilot studies?

small, trial versions of the proposed studies

69
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why use pilot studies?

  • test their effectiveness

  • make improvements

  • identify potential issues

70
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what can be tested in a pilot study?

anything

71
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what does reliability refer to?

consistency

72
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what is internal reliability?

internal consistency of a measure, such as whether the different questions (known as items) in a questionnaire are all measuring the same construct

73
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what is external reliability?

assesses consistency of a measure from one use to another

74
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what is the split half method?

measures to the extent to which all parts of the test contribute equally to what is being measured. This is done by comparing the results of one half of the test to the other half to establish internal validity

75
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what is the test-retest method?

measures external validity by giving the same pp the same test on two occasions. If the same results are obtained, reliability has been established

76
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what is the inter-observer/ inter-rater reliability?

two or more researchers observe and rate behaviour independently. If their observations are similar this helps establish external validity

77
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what is the measures of dispersion?

  • the range

  • standard deviation

78
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what is the measures of standard deviation?

provides measures off the variability of the data

79
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what are the three levels of data?

  • nominal

  • ordinal

  • interval

80
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what is nominal data?

  • named categories

  • no true mathematical value

81
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what is ordinal data?

  • ordered data

  • normally a scale

82
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what is interval data?

  • eg temp for ‘ter’

  • true mathematical value

83
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what are the strengths of the mode?

  • easy to calculate

  • in some data methods its the only possible method

84
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what are limitations of the mode?

  • crude measurement as doesn’t take in account the median or the mean so not representative of the whole data

  • some data sets may have two modes (bi-modal) or no mode if all scores are different

85
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what are strengths of the median?

  • extreme scores do not affect it

  • easily identifiable 

86
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what are some limitations of the median?

  • less sensitive than the mean as it does not include the calculation of all scores

87
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what are strengths of the mean?

  • most sensitive measurement as it includes all scores in data set so is more representative

88
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what are limitations of the mean?

  • easily distorted by extreme values

89
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what is the strength of the range?

  • quick and easy to calculate

90
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what is limitations of the range?

  • only takes in account 2 most extreme scores

  • unfair representative of spread of all scores

  • less precise dispersion measurement

91
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what are strengths of standard deviation (SD)?

  • much more precise measure of dispersion than range 

It takes into account a calculation of all the scores

92
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what is the limitation of standard deviation (SD)?

  • like the mean, it can be distorted by freak values

93
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what are all the ways of representing data?

  • summary tables and summary paragraphs

  • bar charts

  • scattergraphs

94
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what are the types of distribution?

  • normal

  • positively skewed

  • negatively skewed

95
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what are the characteristics of a positively skewed graph?

  • mode is the highest point

  • median is second highest on the right

  • median is third highest on the furthest right

96
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what are the characteristics of a negatively skewed graph?

  • mode is the highest point

  • median is second highest on the left

  • mode is third highest on the furthest left

97
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what is discrete data?

when data can be put into categories

98
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