Psychology Reseach Methods Flashcards

(52 cards)

1
Q

Scatter gram

A

Represents strength + direction of relationship between co variables

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2
Q

Meta-analysis

A

Combining results from number of studies on particular topic for overall view

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3
Q

Co-variables

A

Variables investigated in correlation

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4
Q

Correlation

A

Math technique showing relationship between 2 variables

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5
Q

Time sampling

A

Group/individual behaviour recorded in fixed time frame

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6
Q

Self-report technique

A

Asked to state/explain feelings/opinions

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7
Q

Event sampling

A

Target behaviour/event established and recorded when occurs

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8
Q

Behavioural categories

A

Target behaviour broken up so observable + measurable

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9
Q

Sampling techniques

A

Method used to select from population

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10
Q

Sample

A

Group taking part in experiment

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11
Q

Population

A

People of interest, drawn into smaller scale

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12
Q

Quasi-experiment

A

IV not determined, variables just exist

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13
Q

Natural experiment

A

Change in IV not brought on by investigator

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14
Q

Field experiment

A

Natural setting, manipulated IV

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15
Q

Lab experiment

A

Controlled setting, controlled extraneous variables

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16
Q

Investigator effects

A

Impact DV through interaction with participants or study design

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17
Q

Demand characteristics

A

Cue from researcher or situation that may reveal purpose of investigation

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18
Q

Extraneous variables

A

Any variable other than IV that affects DV

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19
Q

Repeated measures

A

All participants take part in all aspects of the experiment

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20
Q

Matched pairs design

A

Pairs of participants first matched on same variable that may affect DV then split into A+B conditions

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21
Q

Statistical testing

A

Way of determining whether hypothesis should be accepted or rejected- variables significantly different or happened by chance

22
Q

Descriptive statistics

A

Graphs, tables + summary statistics to analyse sets of data

23
Q

Sign test

A

Analyse difference in scores between related items

24
Q

Peer review

A

Assessment of experts in field to make sure high quality to publish

25
Independent group design
Participants allocated to different groups where each group represents 1 experimental design
26
Standardisation
Same formalised procedures + instructions for all peeps in research study
27
Experimental design
Ways testing of peeps can be organised in experimental conditions
28
Experimental method
Manipulation of IV to measure DV
29
Counter balancing
Half peeps experience one condition and other half another condition
30
Random allocation
Attempt at control in independent group design ensuring equal chance of being in any condition
31
Randomisation
Chance so less bias when designing material and deciding order of conditions
32
Confounding variables
Any variable other than IV that has effect on DV
33
Hypothesis
Clear + precise statement showing relationship between variables
34
Operationlisation
Clearly defining variables in terms of how measured
35
Measures of central tendency
Any measure of average value in data set
36
Case studies
In-depth investigation, description and analysis of a single individual, group, institution or event.
37
Content-analysis
Research technique that enables the indirect study of behaviour by examining communications that people make e.g. emails
38
Coding
Stage of content analysis in which the communication to be studied is analysed by identifying each distance of the chosen categories e.g. sentences
39
Thematic analysis
Inductive and qualitative approach to analysis that involves identifying implicit or explicit ideas within data. Themes will often emerge once data has been coded.
40
Paradigm
Set of shared assumptions and agreed methods within scientific discipline
41
Paradigm shift
Result of a scientific revolution: significant change in dominant unifying theory within a scientific discipline
42
Objectivity
When all sources of personal bias are minimised as to not distorted or influence research process
43
Empirical method
Scientific approaches that are based on the gathering of evidence through direct observation and experience
44
Replicability
Extent to which scientific procedures and findings can be replicated by other researchers
45
Falsifiability
Principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue
46
Probability
Measure of the likelihood that a particular event will occur where 0 indicates statistical impossibility and 1 statistical certainty
47
Significance
Statistical term that tells us how sure we are that a difference or correlation exists. If significant then researcher can reject
48
Critical value
When testing a hypothesis, numerical boundary or cut-off point between acceptance and rejection of the null hypothesis
49
Type 1 error
Incorrect rejection of a true null hypothesis
50
Type 2 error
Failure to reject a false null hypothesis
51
Levels of measurement
Quantitative data can be classified into types or levels of measurements, such as nominal, ordinal and interval
52
Chi-squared
Test for an association between 2 variables or conditions.