Complete glossary Flashcards

1
Q

Case study

A

A rich, detailed study of one person or group. Often lacks population validity.

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

Content analysis

A

The use of themes or categories to turn qualitative data into quantitative data which allows for easier analysis.

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

Control

A

Minimisation of extraneous variables causing an impact on the dependent variable.

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

Controlled observation

A

An observation with lots of control, often using pre-defined categories.

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

Correlational analysis

A

The measuring of the relationship between to variables without manipulating either of them.

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

Correlation coefficient

A

The extent to which two variables share a relationship.

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

Counterbalancing

A

When one half of the group of participants completes the conditions opposite to the other half to prevent order effects.

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

Covert observation

A

An observation where the participants don’t know that they’re being observed.

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

Demand characteristics

A

The change of behaviour of participants due to knowledge that they’re in a study.

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

Ecological validity

A

The extent to which we can generalise the results to the real world.

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

Event sampling

A

The recording of an event every time it happens.

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

External validity

A

The extent to which the results can be generalised to either other people or to real life.

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

Extraneous variable

A

Variables controlled to make the experiment a fair test.

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

Field study

A

A study which takes place in a real/ natural setting where the independent variable is manipulated.

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

Independent groups design

A

A design where different participants complete different conditions of the independent variable.

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

Internal validity

A

The extent to which the test is really measuring what it sets out to measure.

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

Inter-rater reliability

A

Consistency of results between the observers.

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

Interval date

A

Numerical data which has strict intervals

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

Investigator effects

A

When the researcher influences the results or the behaviour of the participants

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

Lab study

A

A study in an artificial surrounding, which has control over the independent variable.

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

Matched pairs design

A

A design where different participants are matches so they are similar, however they complete different independent variables.

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

Meta-analysis

A

A way of drawing all the data from studies in a topic area together to form overall conclusions.

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

Non-participant observation

A

An observational study where the researcher is not involved to reduce bias.

24
Q

Normal distrubution

A

For a given attribute, most scores lie close to the mean, with significantly higher and lower scores being less likely.

25
Operationalising variables
Precisely defining variables which can be manipulated or measured.
26
Opportunity sampling
Sampling done by choosing the people you have available. (biased)
27
Order effects
A limitation of repeated measures design where participants either gain practice or become tired by repeating the test.
28
Ordinal data
Numerical data which can be ranked in order
29
Participant observation
An observation study where the experimenter is involved.
30
Pilot study
A small-scale study used to test if there are any methodological or ethical issues with the experiment.
31
Population validity
The extent to which the results of a test can be generalised to other people.
32
QuaLitative data
Non-numerical, rich in detail
33
QuaNtitative data
Numerical data
34
Quasi study
A study in which the independent variable alters without the researchers intervention.
35
Questionnaires
A self-report method of collecting both qualitative and quantitative data.
36
Paradigm shift
Revolutionary changes in scientific assumptions
37
Peer review
Scrutiny by experts of research papers to determine scientific validity and importance.
38
Primary data
Data collected specifically towards a research aim, which has not been published before.
39
Random sampling
Sampling where each member of the target population has an equal chance of being selected.
40
Repeated measures design
A design where the same participants complete the different conditions of the independent variable.
41
The 'screw you' effect.
When the participants guess the aim of the experiment and act in the opposite fashion to disrupt the experiment.
42
Secondary data
Data originally collected towards another aim which has been published before.
43
Semi-structured interview
An interview which has some set questions but allows for follow-up questions to gain rich data.
44
Sign thest
A non-parametric statistical test used for experiments where data is nominal and a repeated measures design can be used.
45
Skewed distribution
For some attributed, a really high set of scores or a really low set of scores may lead to a skewed distribution where the curve is not symmetrical
46
Social desirability bias
When participants change their behaviour to appear more desirable.
47
Split-half reliablity
Consistency of items in a questionnaire.
48
Standard deviation
Measure of diversion which shows the average amount that the scores differ from the mean.
49
Standardised instructions.
All instructions are written exactly the same so the experiment is fair.
50
Stratified sampling
A sampling method where the final sample will have the same proportion of certain characteristics or attributes as the target population
51
Systematic sampling
A sample technique where the participants are picked in an ordered fashion.
52
Time sampling
A sample technique where the researcher records an event/behaviour every interval of time.
53
Unstructured interview
An interview with no pre-planned, structured questions.
54
Validity
The extent to which one is truly testing what they are set out to test.
55
Volunteer sampling
Sampling using volunteers. Often students, elderly and unemployed - unrepresentative sample.