Questionnaire Analysis & Literature Appraisal Flashcards

0
Q

Factor analysis is where you are looking at

A

The structure of the items

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1
Q

Why do we screen the data?

A

To test wether it’s ready for parametric testing.

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2
Q

What is reverse scoring?

A

Change direction of phrasing in items to keep ppl thinking and paying attention while doing the questionnaire - both negative and positive framed items.

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3
Q

Cronbachs alpha is best used when you have a small or large questionnaire?

A

Small

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4
Q

Chronbachs alpha magic number is

A

.7

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5
Q

What are rogue items

A

Items that don’t hang well reliability wise with the other items

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6
Q

Why delete rogue items?

A

To help reliability.

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7
Q

Outcomes with good item internal reliability may need to check to see if they need to

A

Delete items that are redundant (they look likely they measure the same thing)

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8
Q

Alpha can be strong at .6 when

A

It’s measuring attitudes. You need to rationalise this.

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9
Q

Sample of convenience…

A

General population

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10
Q

Item analysis is where we compare

A

Top versus bottom scorers

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11
Q

Validity is a test that

A

Measures what is should measure

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12
Q

Validity needs to be

A

Reliable

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13
Q

The more valid a test is the more

A

We reduce measurement error

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14
Q

Construct validity is the

A

Adequacy of operational definition of variables

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15
Q

Does the measure that is employed to measure a behaviour actually measure the behaviour is an example of…

A

Construct validity

16
Q

Examples of construct validity…

A

A measure of intelligence…through an IQ test

17
Q

Nomological network is a network of

A

Evidence surrounding and supporting the validity of a construct

18
Q

Nomological networks refers to a network of

A

Correlations which support NOT prove a construct

19
Q

The larger the nomological network for a construct the greater

A

The validity

20
Q

How many ways can we evaluate the viability of a scale in terms of construct validity?

A

Two

21
Q

What do both ways of evaluating the viability of a scale in construct validity assume?

A

That there is already a good measure of the construct available

22
Q

Two ways to evaluate the viability of a scale in terms of construct validity

A

Convergent validity

Discriminant validity

23
Q

Convergent validity is where our

A

Questionnaire that converges with other questionnaires that measure the same/related constructs. Should correlate

24
Q

Discriminant validity

A

A questionnaire should not correlate with questionnaires that measure different/unrelated constructs ie depression and anxiety

25
Q

Face validity

A

What it looks like. Does it seem sensible. Ie items relating to your construct.

26
Q

Content validity

A

Items on questionnaire judged to be appropriate by experts in the field

27
Q

Population validity

A

Extent to which results found in a sample can be generalised to a population.

28
Q

Criterion validity

A

Extent to which scores in a test are related to criterion validity

29
Q

Predictive validity

A

Shown when a questionnaire predicts another variable ie high GPA predicts honours performance

30
Q

Concurrent validity

A

Demonstrated by high correlation between 2 tests taken at the sane time. Assumes another questionnaire exists that us the gold standard for measuring that construct

31
Q

2 purposes for literature review

A

Discover what has been done

What needs to be done

32
Q

3 sources of literature are:

A

General
Secondary
Primary

33
Q

2 types of info provided by general sources are

A

General intro to area

Clues to where more scientific info can be found

34
Q

Two sources of info provided by secondary sources…

A

Scholarly summaries

Further references

35
Q

Primary sources are

A

Original report of original work

Lit review contains mostly these

36
Q

The 8 important areas to any journal article:

A
Preview of previous lot
Problem and purpose
Hypothesis
Method
Sample
Results discussion
References
General comments