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Summary for test theory - grade: 7,5 - Tilburg University

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A summary of the lectures and the book. Very detailed, I received a 7,5 for the exam using only this summary !

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Uploaded on
January 13, 2025
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Test theory
Lecture 1: introduction and basic knowledge of statistics​ 3

Lecture 2: properties of tests and items​ 4
Cohen’s kappa​ 4

Lecture 3: Transformed scores and norms​ 5
Distribution table​ 5
Association between 2 variables​ 5
Composite scores​ 6
Converted standard scores​ 6
Linear transformations​ 6
Non-linear transformations​ 7
Normalized scores​ 7
Stanines: standardized nines​ 7

Lecture 4 Reliability​ 8
Reliability​ 8
Variance​ 8
Conceptualizing reliability (4 ways).​ 8
Standard deviation​ 9
Estimating test reliability​ 9

Lecture 5 Test quality assessment (reliability)​ 10
Test-retest reliability​ 11
Parallel (alternate) forms of reliability​ 11
Internal consistency reliability​ 11

Lecture 6 Factors affecting reliability​ 13
Factors affecting reliability​ 13

Lecture 7 Effect sizes and Item-rest correlation​ 14
Confidence intervals and measurement error​ 14
Effect sizes and statistical significance​ 14
Item discrimination and internal consistency​ 15

Lecture 8 Validity​ 17
Content validity​ 17
Internal validity​ 17
Response process validity​ 17
Associations with other variables​ 17
Consequential validity​ 17

Lecture 9 Convergent and discriminant validity​ 19
Types of correlations​ 19
Factors affecting predictive validity (for admission purpose)​ 20

, Interpretative approach (estimating practical effects)​ 20
Analysis of test sensitivity and specificity​ 21

Lecture 10 Item response theory and Rasch models​ 22
Item response theory (IRT) = modern test theory​ 22
IRT measurement models​ 22
Item information and test information​ 23

Lecture 11 IRT in practice​ 25
Purpose of item response theory​ 25
Comparing IRT and CTT​ 26
True score in IRT​ 26

Lecture 12 Test bias​ 27
Types of test bias​ 27
Ways of evaluation construct bias​ 27
External methods to identify predictive bias​ 27
Intercept bias​ 28
Slope bias​ 28
Intercept and slope bias​ 28

, Lecture 1: introduction and basic knowledge of
statistics
Test theory: developing and ensuring high-quality psychological tests to measure not
directly observable properties.
In tests, items are indicators for the construct (like perfectionism). Answers are assigned
scores, which are transformed into test scores and then interpreted.

Psychological test is a systematic procedure for comparing the behavior of 2 or more
people (Cronbach). Aimed at measuring behavior (observable), samples collected in a
systemic way (objective), and compare behaviors of multiple people or same people over
time (comparative).

Maximum performance tests: measuring maximum skills
1.​ Speeded tests: time-limited tests to measure performance, count number of
questions answered.
2.​ Power tests: measure skills without time pressure, count number of questions
correct.
Typical performance tests: measuring personality traits, attitudes and disorders.
Criterion referenced tests: compare people with an absolute standard of skill level. A
person’s performance is either above or belong the performance criterion.
Norm reference tests: compare people with the rest of the population.

Reflective/effect indicators: a hypothetical construct (intelligence) causes someone’s
responses on an intelligence test.
Formative/causal indicators: indicators of SES (income, educations) are the things that
define SES.

Psychometrics: the science on evaluation the attributes of psychological tests
1.​ Type of information
2.​ The reliability of data from psychological tests
3.​ Issues concerning the validity of data obtained from psychological tests

Measurement challenges
1.​ Participant reactivity: people change their behavior because they know they are
being measured.
2.​ Data collectors may be biased.
3.​ Score sensitivity: ability of a measure to discriminate between meaningful amounts or
units of the dimension being measured.

High variance and covariance between item scores is desirable because item scores are
intended to reveal differences between people.
correlation is also important, some score high on all items and some score low on all items,
also causing more variance.

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