Research Methods Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

When would you use a Directional (one-tailed) hypothesis?

A

When previous research predicts a likely direction of the results

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

When would you use a Non-Directional (two-tailed) hypothesis?

A

When previous research gives confounding results

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

What is a Null Hypothesis?

A

States there will be no effect of an independent variable on the dependent variable

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

How do you draw a bar chart?

A

Rectangular squares however they do not touch each other

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

What is the independent variable?

A

The thing that you change

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

What is the dependent variable?

A

The thing that you measure

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

What is meant by the term operalisation?

A

Clearly define variables so they are testable/measurable

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

What is independent groups?

A

Involves different groups doing each condition

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

What is repeated measures?

A

Involves one group doing all conditions

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

What is matched pairs?

A

Where people are put together on similar aspects (such as age, gender, IQ) that are pre-tested and put in to separate groups. Each group experiences one level of the IV.

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

What are the advantages of independent groups?

A

Participants less likely to guess the aim and change their behaviour accordingly

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

What are the disadvantages of independent groups?

A

As the groups contain different people, their individual differences might influence the results

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

What are the advantages of repeated measures?

A

By using the same participants in all conditions, there are no individual differences to act as a confounding variable

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

What are the disadvantages of repeated measures?

A

By doing the experiment more than once in different conditions, the participants may be affected by order effects

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

What are the advantages of matched pairs?

A

By matching the groups in each condition on key participant variables, the influence of individual differences should be significantly reduced

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

What are the disadvantages of matched pairs?

A

Despite some control, it is impossible to remove all individual differences

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

What is counterbalancing?

A

Attempt to control order effects; group of participants split in two smaller groups, half participants do condition A then condition B and vice versa- this means effects of doing one condition after another in repeated measures design will be counteracted

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

What is a field experiment?

A

Takes place in participants’ natural environments- participants randomly allocated to conditions

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

What is a lab experiment?

A

Takes place in controlled setting- participants can be randomly allocated to conditions

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

What is a natural experiment?

A

Can take place in labs or natural settings- the IV is a variable which is controlled by someone other than the researcher; IV not manipulated

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

What is a quasi experiment?

A

The IV is not determined by the researcher, it is naturally occurring

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

What is informed consent?

A

Need to give participants info on what they’re doing and they have to agree

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

What is deception?

A

Participants should be aware of all elements of investigation before taking part, and should not be lied to during process of research- however, if telling patients everything will affect behaviour, then they can be deceived

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

What is confidentiality?

A

If taking part in research you should not have to use I.D., name etc. full privacy

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

What is protection from harm?

A

At all times protect participants from physical and psychological harm

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

Why can a debrief be used a method of dealing with all other issues?

A

As after the research the participants should be informed about exactly what the information is aiming to do. Debrief also allows participants an opportunity to ask questions or be offered support

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

What is the role of Peer Review?

A

It acts as a barrier, stopping flawed, fraudulent and foolish research becoming part of public understanding, however impossible to ensure all reviews are done in a totally unbiased way

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

What are demand characteristics?

A

When participants display characteristics that try to help the

researcher or deliberately mess it up

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

How can demand characteristics be controlled?

A

The researcher can deceive the participants by not telling them the aim of the research before they take part

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

What is meant by the term ‘double blind’ and why is it used?

A

When both participant and researcher are unaware of what condition of an experiment is being tested- so researcher cannot influence results

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

What is meant by the term ‘single blind and why is it used?

A

When only participants is unaware of which condition of experiment is being tested- so they do not produce demand characteristics

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

What is event sampling?

A

Everytime behaviour/event seen it gets tallied

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

What is time sampling?

A

Watch someone’s behaviour in time slots

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

What is a controlled observation?

A

Conducted under lab conditions and often involve researcher setting up situation for participants to interact with e.g. Strange Situation

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

What is a naturalistic observation?

A

Conducted in real world in location where behaviour being studied takes place

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

What is a covert observation?

A

Observation where participants do not know they are being observed

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

What is an overt observation?

A

An observation in which participants are aware they are being studied

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
38
Q

What is a participant observation?

A

Involves researchers becoming part of group being observed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
39
Q

What is a non-participant observation?

A

When researcher is watching from outside group being observed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
40
Q

What is inter-rater reliability?

A

When two people observe something and get similar/same results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
41
Q

What is qualitative data?

A

Looking at why people might behave in certain way, interested in subjective experiments- can’t apply statistical analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
42
Q

What is quantitative data?

A

How many times something has been done, deals with numbers etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
43
Q

Example of qualitative data?

A

Self-reports such as interviews and questionairres

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
44
Q

Example of quantitative data?

A

Correlations and numerical data e.g. observations

45
Q

What is a pilot study and why is it used?

A

Used for carrying out small scale version for bigger research- used to be able to see problems with behavioural categories, questions etc.

46
Q

What is a self-report questionairre?

A

Consist of a series of questions, and require participants to give a written answer

47
Q

What is an open questionairre?

A

Allow participant to answer in anyway chosen with no limit to possible responses, qualitative data

48
Q

What is a closed questionairre?

A

Limit the possible responses by providing tick boxes or offering a scale to indicate agreement- quantitative data

49
Q

What are the advantages of a closed questionairre?

A

Easy to analyse

50
Q

What are the advantages of an open questionairre?

A

You get detailed response

51
Q

What is a correlation?

A

A way to look for a relationship that may exist between two measured variables- a way of analysing data rather than a research method

52
Q

What are the variables in correlation referred to as?

A

Co-variables as they are not casually linked- instead they may or may not be related to one another

53
Q

What are correlations conducted on?

A

They can be conducted on secondary data, and provide a useful starting point for psychological research

54
Q

What is the correlation coefficient?

A

Strength of a correlation can be measured by calculating the correlation coefficient, number between -1 and +1

55
Q

What are the strengths of correlation?

A

Correlations can be conducted quickly using second data as way to investigate whether may be a relationship between two variables

56
Q

What are the weaknesses of correlation?

A

-Cannot give you information about cause and effect only that a relationship exists not how or why

57
Q

What do case studies do?

A
  • Aim to gather detailed information about case, such as an individual, specific group of people or event
  • Data can be qualitative or quantitative
58
Q

Positives of case studies?

A
  • Data gathered is detailed and in-depth so more valid conclusions can be drawn
  • Method can be used to investigate events and behaviour that are rare or would be unethical to investigate by other means
59
Q

What are negatives of case studies?

A
  • These studies can take a lot of time

- Sample is limited and not representative of wider population

60
Q

What is content analysis?

A
  • An indirect observation using pre-existing communications such as magazine article or TV programme
  • Involves systematic examination of material
61
Q

What are the positives of content analysis?

A
  • Quite ethical as no people being used in order to gather data
  • High in ecological validity as analyses real communications
62
Q

What are the weaknesses of content analysis?

A
  • Data collection may be subjective as relies on researchers interpretation
  • Method describes what is seen but not causes of it
63
Q

What is thematic analysis?

A
  • Technique used to summarise key ideas from qualitative data gathered from all methods
  • Process where analysis of the data leads to the development of categories or themes that emerge from it
64
Q

What are the steps for thematic analysis?

A

1) -Researcher gets familiar with material, finds categories/themes and creates code for analysis
2) -Then they re examine the data and code it according to the themes
3) -Review the themes by checking against the data
4) -Data is summarised by its themes and supported with data drawn from transcript
5) -Then written up as data analysis

65
Q

When is a sample used?

A

It’s impossible to study every individual in target population so sample is drawn to represent them

66
Q

What is random sampling?

A

Every member of target population has equal chance of being selected for research e.g. picking names from a hat

67
Q

What is opportunity sampling?

A

The sample consists of whoever happens to be available at the time study is happening

68
Q

What is stratified sampling?

A

Target population broken down into key demographic components e.g. male and female and then selected randomly from there

69
Q

What is systematic sampling?

A

Researcher picks people according to a system e.g. every fourth person is chosen

70
Q

What is volunteer sampling?

A

Sample consists of people who choose to respond to requests for participants

71
Q

Positives of sampling?

A

Do not take too much time or effort

72
Q

What are the negatives of event sampling and time sampling?

A

Event sampling: Can be difficult to do accurately when there is a lot of action to record reducing reliability of data

Time sampling: Possible to miss important events as they happen outside time frame

73
Q

What should researchers do to keep reliability of data collection?

A

Conduct a pilot observation to make sure categories are easy to identify and nothing is missing and inter-rater reliability

74
Q

What are the four types of validity?

A

1) -Face validity: Seeing if the test is what it claims to be
2) -Concurrent Validity: Uses already validated measures for variable being tested and correlates measures from test with measures using another
3) -Ecological Validity: If results can be generalised and applied to real-life settings
4) -Temporal Validity: Compares results of time by retesting and if findings are still valid

75
Q

What is another way to improve reliability?

A

The test re-test method; Give test to same participants on two (or more) occasions and correlate results, reliable if they are the same

76
Q

What are operationalised variables and what do they do?

A

It helps increase objectivity e.g. defining aggression to pushing/kicking

77
Q

What are the seven features of science?

A

Empirical methods, Objectivity, Theory Construction, Hypothesis Testing, Replicability, Falsifiability, Paradigms and Paradigm Shifts

78
Q

What are empirical methods?

A

Data-collecting techniques based on actual evidence rather than thoughts

79
Q

What is objectivity?

A

Achieved when data and interpretation are free from bias

80
Q

What is replicability?

A

Researchers must be able to replicate procedure and get same results

81
Q

What is theory construction?

A

A theory seeks to explain observed phenomena which enable predictions that are then tested and the results are used to refine the theory

82
Q

What is falsifiablity?

A

Theories should generate testable predictions which can be proven wrong so data should be objective e.g. Freud cannot be falsified as not objectively tested

83
Q

What is hypothesis testing?

A

A testable prediction based on a theory

84
Q

What is a paradigm?

A

A paradigm is a shared set of assumptions about the content and methods of a particular discipline e.g. An early behaviourist paradigm was that behaviour can be explained in terms of learning from environment and this can be tested scientifically

85
Q

What is a paradigm shift?

A

Occurs when dominant paradigm is replaced with a new one e.g. simple stimulus-response learning challenged by Social Learning Theory

86
Q

What are the sections of a scientific report?

A

Abstract, Introduction, Method, Results, Discussion, References

87
Q

What is the abstract?

A

Summarises research so other researchers can decide if it is relevant without wasting time- briefly outlines entire investigation

88
Q

What is the introduction?

A

Outlines why the study was done- beginning is general, summary of research on topic next, outlines aims of study with hypothesis at end

89
Q

What is the method of report?

A

Details what was done- identification of variables, includes sample size, sampling method, apparatus used etc.

90
Q

What are the results of report?

A

Summarised data in tables and charts supported by conclusions drawn from data

91
Q

What is the discussion?

A

Links findings and conclusions of study to background theory and research, also explores limitations of researches and outlines implications for future research

92
Q

What are the references?

A

Comes at the end, references cited in writing of report so all sources of info here

93
Q

What is a meta-analyses?

A

Secondary Data Method that combines data from several studies that allows conclusion to be drawn

94
Q

What is an example of qualitative data?

A

Interviews and Questionairres

95
Q

What is an example of quantitative data?

A

Inferential statistics

96
Q

Strengths and Weaknesses of mean?

A

Strength- Likely to be most representative as all scores used
Weakness- Affected by extremes

97
Q

Strengths and weaknesses of median?

A

Strength- Unaffected by extremes

Weakness- Does not use all scores so less representative

98
Q

Strengths and weaknesses of mode?

A

Strength- Unaffected by extremes

Weakness- Does not use all scores

99
Q

How can you see the normal distribution of a graph?

A

The shape of the line on the graph is bell shaped

100
Q

What is a positive skew of distribution?

A

Results from scores that are mainly below the mean- more scores concentrated to left of graph

101
Q

What is a negative skew of distribution?

A

When most scores fall above the mean and peak of chart is to the right

102
Q

What is nominal data?

A

Frequency data e.g. number of people who finish half a marathon

103
Q

What is ordinal data?

A

Continuous data that represents scores along a scale e.g. position people came in marathon

104
Q

What is interval data?

A

Scale of measurements exact and equal intervals e.g. time taken by competitors in marathon

105
Q

What is a type 1` error?

A

A false positive leading to the rejection of the null hypothesis- occurs when significance level too high e.g. p<0.10

106
Q

What is a type 2 error?

A

A false negative leading to the rejection of the null hypothesis again- occurs when significance level too low e.g. p<0.01

107
Q

What is a significance level?

A

Standard significance level accepted in psychology is 0.05

108
Q

What does below 0.05 significance level show and above 0.05?

A
  • Below 0.05 shows that you should accept there is a genuine effect
  • Whereas above 0.05 (5%) you should reject that there was an effect as it is too risky to tell and reject the null hypothesis
109
Q

What are confounding variables?

A

Variables that are found to have influenced the results of the research