Year 2 research methods. Flashcards

1
Q

What is validity?

A

Validity= the extent to which an observed result is genuine and legitimate. Does it measure what it is meant to and can it be generalised?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is internal validity?

A

-Whether the observed effects on the dependent variable are caused by the manipulation of the independent variable. Are we measuring what we intend to measure.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What factors can affect internal validity?

A

Demand characteristics, investigator effects.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

How can we assess internal validity?

A

Face validity and concurrent validity?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is face validity?

A

whether a test/scale/experiment appears to measure what it intends to on the face of it.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is concurrent validity?

A

the extent to which a psychological measure relates to an existing similar measure. A new intelligence test getting similar results to the IQ test indicates the new test has internal validity. A 0.8 or above correlation between the two data sets is considered a close relationship.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is external validity?

A

-The extent to which the findings can be applied to situations/settings outside the research.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is ecological validity?

A

generalising the results of settings outside the research environment that has been created. If the research task is similar to an everyday task it will have high ecological validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is temporal validity?

A

the extent to which results can be generalised to other historical time periods and eras. For example, Asch’s research is said to have low temporal validity because it was a product of an era of communist threat.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How can validity be improved in experiments?

A

Using a control group establishes whether changes are due to the independent variable.
Standardising instructions and procedures minimising participant reactivity and investigator effects, as well as single/double blind trials.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How can validity be improved in observations?

A

there should be specific behavioural categories and is covert.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How can validity be improved in self report?

A

In questionnaires, a lie scale assesses the consistency of responses, accounting for social desirability bias and ensuring the data is anonymous will enhance validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

How can external validity be improved?

A

Qualitative methods are thought of as having high ecological validity due to the depth and detail helping to reflect a participants true experience. Increasing the number of sources (triangulation) helps validity.

External validity can be increased by using tasks with mundane realism and using a representative sample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are case studies?

A

-Involve a detailed, in depth analysis of an individual or event. It may be an unusual case or a more typical one.
-An idiographic approach.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Characteristics of case studies?

A

-Usually involves producing qualitative data using interviews, questionnaires, observations and experimental techniques.
-Case histories may be used to retrospectively gather information.
-Tend to be longitudinal and will involve gathering data from other sources as well.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are the advantages of case studies?

A

Useful when researching a rare, unique or socially sensitive topic.
Increases reliability because a range of techniques is used which means triangulation.
Greater ecological validity because studies of events as they occur naturally.
Rich in depth data.
Can generate hypotheses for future research.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What are the disadvantages of case studies?

A

Difficult to generalise the results of a case study.
Subjective interpretation of the researcher.
Researcher bias as they may ask certain questions to get certain answers that fit with their aim.
Small scale and sample is lacking in scientific validity.
Retrospective may not be accurate.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What is content analysis?

A

-A type of observational research that studies people indirectly via the communications they have produced.
-This can include spoken word, written forms, media.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is the aim of content analysis?

A

-The aim is to summarise the communications in a systematic way so conclusions can be drawn.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What is coding?

A

Initial stage of content analysis where meaningful categories are created.
This allows for the data to be analysed and put into the categories to produce quantitative data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What is thematic analysis?

A

A form of content analysis with a qualitative outcome.
A theme is an idea that is recurrent throughout the communication.
This is more descriptive than the coding units.
Once the researcher is confident their themes cover all of the data, they will test the validity with a new set of data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Advantages of content analysis?

A

Reliable way to analyse qualitative data as the coding units are objective.
Not too time consuming.
Allows statistical analysis to be conducted.
Avoids ethical issues with psychological research.
Flexible as it can produce qualitative or quantitative.
High external validity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Disadvantages of content analysis?

A

Causality cannot be determined.
Description of the data cannot gather any deeper meaning.
Biases in the researcher conducting content analysis as they are taking the communication out of context.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

What are the features of science?

A

Theory construction, hypothesis testing, empirical method, paradigm, replicability, objectivity and falsifiable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

Theory construction?

A

The gathering of evidence from a direct observation and bringing together previous ideas/definitions to construct a theory.
A theory provides an explanation for an event or a relationship between events.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
26
Q

Hypothesis testing?

A

It is important that a hypothesis is clear and testable.
Hypotheses are derived from a theory that is being tested.
Empirical methods determine whether to support or refute the hypothesis which strengthens the theory or leads it to be reviewed.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
27
Q

Empirical method?

A

All research evidence must be empirical and based on evidence gathered through carefully controlled and tested observations/experiments.P

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
28
Q

Paradigm and paradigm shift?

A

A paradigm is a collective set of assumptions, concepts, values and practices.
It has been argued there is too much disagreement in psychology for it to be a pure science. Biology and physics have core principles that are all agreed on.
When a handful of researchers begin to question the paradigm, and new assumptions may be adopted, this is known as a paradigm shift.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
29
Q

Replicability?

A

Repeating an investigation in the same controlled conditions.
This enables the researcher to look at different situations which will determine whether the results can be generalised.
Experiments must be reported with detail and precision to ensure replicability.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
30
Q

Objectivity?

A

Must be free from personal feelings, prejudice and interpretations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
31
Q

Falsifiability?

A

A theory cannot exist unless it admits the possibility it may be proved untrue.
A theory is not proved true, it just isn’t proved false after repeated testing.
Freud’s theories are not falsifiable and therefore are not scientific.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
32
Q

What is reliability?

A

A measure of consistency. If a particular measurement is made twice and the result is the same, it is said to be reliable. If a result is different, if the measurement is reliable, it is put down to a difference in what we are measuring.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
33
Q

When measuring reliability what is a significant correlation?

A

0.8

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
34
Q

What is test-retest relaibility?

A

Involves administering the same test/questionaire to the same person on two different occasions. If the test is reliable, then the results should be the same or very similar.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
35
Q

What length of time should be between the test and retest?

A

There must be enough time between the test and retest to ensure the participant is not recalling their answers, but not so long that their attitudes and opinions may have changed.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
36
Q

How do we know there is test-retest reliability?

A

The sets of scores are correlated and if significant, the measure is reliable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
37
Q

Why are not observations not always reliable?

A

Observational research introduces issues of subjectivity, bias and unreliability as everyone has their own perception of events.

38
Q

What is inter-observer reliability?

A

Researchers are in groups of at least two, but inter-observer reliability is established first in a pilot study.
The two watch the same event and observe independently. The scores are then correlated and if significant, are reliable.

39
Q

Improving reliability: questionaires?

A

-When a questionnaire produces low test-retest reliability, some questions should be deselected or rewritten because they could be ambiguous or too complex.

40
Q

Improving reliability: interviews?

A

-The best way to ensure reliability is to use the same interviewer each time, and structured interviews should be used to control the interviewer’s behaviour.

41
Q

Improving reliability: observations?

A

-Behavioural categories need to be properly operationalised so they are measurable and self-evident. Categories should not overlap and all possible behaviours should be covered on the list.
-If reliability is low in the pilot study then observers need training in using the categories or discuss with each other so application of categories is more consistent.

42
Q

Improving reliability: experiments?

A

-The procedures must be the same each time by using standardisation, this will allow comparison between the participants.

43
Q

What are the parts of a scientific report?

A

Title, contents page, introduction, procedure, results, discussion, references, appendices.

44
Q

Title:

A

-Should be a brief and accurate reflection of the content of the report and clear enough to give the reader a clear enough idea of the central concerns.

45
Q

Contents page:

A

-Every page must be numbered and every section should be recorded.

46
Q

Introduction:

A

-Provides a review or background information, existing findings and methodological issues.
-How the hypotheses were derived.
-Ending with a precise statement of aims and operationalised hypothesis.

47
Q

Procedure:

A

-Describes in detail how the experimenter carried out the investigation, enough for a full replication if possible.
-Design, participants, apparatus and materials, and procedure.

48
Q

Results:

A

-A clear, concise summary of the data collected and the results of any statistical tests.
-Descriptive stats, justification of inferential tests used and their results.

49
Q

Discussion:

A

-Summary of results and what they mean in the context of background and hypotheses.
-Reflection of the strengths and weaknesses and the implications of the findings for the wider science community.
-Any possible applications and suggestions for further research.

50
Q

References:

A

-Allows readers to locate original sources and prevent plagiarism accusations.
-Name of author, year, title, city published, publisher, pages.

51
Q

Appendices:

A

-Includes any additional information, such as statistical calculations, raw data and standardised instruction. Each appendix should be referenced in the main body.

52
Q

What is inferential statistics?

A

allows researchers to make informed decisions about whether differences in data are significant differences that can be applied to the whole target population.

53
Q

How do we choose a statistical test?

A

Difference or correlation?
Experiment design?
Level of measurement?

54
Q

What is a level of measurement?

A

the type data produced and how precise it is.

55
Q

What is nominal data?

A

Frequency or count data that consists of a number of participants falling into certain categories. Discrete because one item can appear in one category. For example: eye colour, gender.

56
Q

What is ordinal data?

A

Data is ordered in some way and occurs in ranks. The units of measurement do not have equal intervals because the value between them is unknown. Lacks precision because it is subjective so is sometimes referred to as unsafe data. For example- ranks in a race or a happiness scale.

57
Q

What is interval and ratio data?

A

Data measured in fixed units with equal distance between points on a scale. Ratio data has an absolute zero point (time) but interval data can dip below zero (temperature). They are based on publicly accepted measurements. It is the most precise and sophisticated data in psychology.

58
Q

What is the null hypothesis?

A

Ho- States there is no relationship between the two variables and that results are due to chance so are not significant in terms of supporting the idea we are investigating.

59
Q

What is the alternate hypothesis?

A

H1- States there is a relationship and the results are not due to chance so are significant in terms of supporting the theory.

60
Q

What is the significance level?

A

The point at which the researcher can reject the null hypothesis.
However the significance level is also the chance where you reject Ho when you should accept it.
It is the probability that the results occurred by chance.

61
Q

How do we decide whether or not to reject/accept?

A

The observed value is compared with the critical value at the significance for the value of N, and it is decided whether to reject or accept.

62
Q

What does the critical value depend upon?

A

one tailed or two tailed, value of n, significance level.

63
Q

How do we know if it is one tailed or two tailed?

A

Directional hypothesis= one tailed.
Non-directional hypothesis= two tailed.

64
Q

What is a type I error?

A

Rejecting the null hypothesis when in reality there is no relationship between the variables and we should have accepted it.

65
Q

What increases the chance of a type 1 error?

A

The chance of a type 1 error increases as the significance level increases. (10%+)

66
Q

What is a type 2 error?

A

when the null hypothesis is accepted when in reality there is a correlation or difference so it should be rejected.

67
Q

What increases the chance of a type II error?

A

The chance of a type 2 error increases as significance level shrinks.

68
Q

Why is 5% most commonly used?

A

Therefore psychologists use 5% to balance the risk of both types of error.

69
Q

When is the sign test used?

A

Nominal data for repeated measures/matched pairs, testing for a difference.

70
Q

What is the observed value for the sign test?

A

S

71
Q

How to carry out the sign test?

A

The positive and negative directions are decided. Sum the positive and negative and the smallest total is the observed value.

72
Q

When is the sign test significant?

A

The observed value must be equal to or less than the critical value to reject the null hypothesis.

73
Q

When is the Mann-Whitney test used?

A

Testing for a difference, independent groups, produces ordinal data.

74
Q

What is the observed value for Mann Whitney?

A

U

75
Q

When is the Wilcoxon sign test used?

A

-Repeated measures/matched pairs, testing for a difference and ordinal data.

76
Q

What is the observed value for the Wilcoxon sign test?

A

-Observed value T.

77
Q

When is the Wilcoxon sign test significant?

A

-The observed value must be less than or equal to the critical value to reject the null hypothesis.

78
Q

When is the unrelated t test used?

A

-Independent groups, interval data, testing for a difference.

79
Q

What is the unrelated t test observed value?

A

t

80
Q

When is the unrelated t test significant?

A

The value of t must be greater than or equal to the critical value (ignoring the sign).

81
Q

When is the related t test used?

A

-Interval data, repeated measures, testing for a difference.

82
Q

What is the related t test observed value?

A

t

83
Q

When is the related t test significant?

A

-The observed value of t must be greater than or equal to the critical value to reject the null hypothesis.

84
Q

When is Spearman’s rho used?

A

-Test for correlation, ordinal data, the type of design is irrelevant.

85
Q

When is Spearman’s rho significant?

A

-The observed value rho must be greater than or equal to the critical value to reject the null hypothesis.

86
Q

When is Pearson’s r used?

A

-Interval data, test for correlation.
-Is a parametric test.

87
Q

When is Pearson’s r significant?

A

-The observed value r must be greater than or equal to the critical value to reject the null hypothesis.

88
Q

When is chi squared used?

A

-Testing for a difference or association, nominal data, independent group design.
-Involves a contingency table.

89
Q

How to calculate chi squared degrees of freedom?

A

-Degrees of freedom = (rows - 1) x (columns - 1).

90
Q

When is chi squared significant?

A

-The chi squared observed value must be equal to or more than the critical value to reject the null hypothesis.