Methods (definitions) Flashcards

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1
Q

Correlation coefficient

A

A number between 1 and -1 which represents the strength and direction of a correlation

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2
Q

Content analysis

A

The indirect study of behaviour through the systematic summary and description of communications that people produce (e.g. emails, magazines, speech)

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3
Q

Coding

A

The stage of quantitative content analysis in which the communication is analysed by identifying each instance of the chosen categories (e.g. words, phrases)

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4
Q

Thematic content analysis

A

A qualitative approach to content analysis which involves identifying prominent, recurring themes, which are usually more descriptive and general than coding categories

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5
Q

Reliability

A

How consistent the findings from an investigation or measuring device are

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6
Q

Validity

A

The extent to which a test measures what it intended to measure (internal), and can be generalised beyond the research setting (external)

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7
Q

Face validity

A

Whether the test appears ‘on the face of it’ to measure what it intends to measure

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8
Q

Concurrent validity

A

Whether the results of the test match the results of a similar, established test

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9
Q

Interval data

A

Data based on established numerical scales that include units of equal, precisely defined size (e.g. time in seconds, length in mm)

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10
Q

Ordinal data

A

Data that has been ordered in some way, with unequal intervals between units (e.g. attractiveness out of 10, test score grade)

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11
Q

Nominal data

A

Discrete data represented as categories (e.g. favourite film genre, number of boys and girls)

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12
Q

Parametric test

A

The most powerful, sensitive statistical tests which should be used when possible (related t, unrelated t, pearson’s r)

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13
Q

Chi squared

A

Unrelated test of difference/correlation, nominal data

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14
Q

Mann Whitney

A

Unrelated test of difference, ordinal data

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15
Q

Wilcoxon

A

Related test of difference, ordinal data

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16
Q

Spearman’s Rho

A

Correlation, ordinal data

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17
Q

Sign test

A

Related test of difference, nominal data

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18
Q

Unrelated t-test

A

Unrelated test of difference, interval data

19
Q

Related t-test

A

Related test of difference, interval data

20
Q

Pearson’s r

A

Correlation, interval data

21
Q

Alternative hypothesis

A

A hypothesis (directional or non directional) which states that the investigation will find a difference/change (H1)

22
Q

Null hypothesis

A

A hypothesis which states that the investigation will not find a difference/change (H0)

23
Q

Critical value

A

The numerical boundary between acceptance and rejection of the null hypothesis

24
Q

Type I error

A

Accepting the alternative hypothesis and rejecting the null hypothesis when it should have been the other way round (false positive)

25
Q

Type II error

A

Accepting the hull hypothesis and rejecting the alternative hypothesis when it should have been the other way round (false negative)

26
Q

The rule of R

A

Statistical tests with an ‘r’ in the name require the calculated value to be equal to or more that the critical value

27
Q

Degrees of freedom (chi-squared)

A

(Rows-1) x (columns-1)

28
Q

Degrees of freedom (related t-test)

A

N - 1

29
Q

Degrees of freedom (unrelated t-test)

A

N(condition 1) + N(condition 2) - 2

30
Q

Abstract

A

A short summary of the aims, hypotheses, procedure, results, and conclusions of the investigation at the beginning of a journal article

31
Q

Introduction

A

A review of the area of investigation, including theories, concepts and studies, beginning generally and narrowing in until the aims and hypotheses are presented

32
Q

Method

A

Sufficient procedural detail so that the study can be replicated - design, sample (inc. method and target population), materials, procedure (inc. brief, instructions, debrief), ethics

33
Q

Results

A

A summary of the findings: descriptive statistics, inferential statistics (statistical test, calculated and critical values, significance level), raw data, content analysis

34
Q

Discussion

A

A prosaic summary of the findings with discussion including context, limitations, and wider implications

35
Q

Referencing

A

Full details of any source material drawn upon or cited in the report, formally referenced

36
Q

Paradigm

A

A shared and accepted set of assumptions and methods within a scientific discipline

37
Q

Paradigm shift

A

A significant change in the dominant theory within a scientific discipline as a result of a scientific revolution

38
Q

Objectivity

A

When all sources of person bias are minimised so as not to influence the research process, something to strive for in scientific work

39
Q

The empirical method

A

Scientific approaches base on the gathering of evidence through direct observation and experience e.g. experiments, observations, interviews

40
Q

Replicability

A

The extent to which scientific research and findings can be repeated by other researchers across different contexts

41
Q

Falsifiability

A

The claim from Popper that a theory can only be considered scientific if there are means by which it would be proved wrong

42
Q

Pre-science

A

A variety of theories existing to explain a phenomenon, but there is no generally accepted theory/paradigm. Kuhn claimed that Psychology is a pre-science.

43
Q

Lie scale

A

A test incorporated in questionnaires to assess the consistency of the participant’s responses and to control for social desirability bias