UGC NET Psycology Psychological testing Syllabus

Psychological testing syllabus — full chapter and topic list

Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Psychological testing in UGC NET Psycology, not a summary of it.

1. 1

   Types of tests

   overview

   Examined as a single unit within Psychological testing — no further topic split in the official outline.

2. 2

   Test construction

   2 topics

   • Item writing
   • Item analysis
3. 3

   Test standardization

   3 topics

   • Reliability
   • Validity
   • Norms
4. 4

   Areas of testing

   6 topics

   • Intelligence
   • Creativity
   • Neuropsychological tests
   • Aptitude
   • Personality assessment
   • Interest inventories
5. 5

   Attitude scales

   3 topics

   • Semantic differential
   • Staples
   • Likert scale
6. 6

   Computer-based psychological testing

   overview

   Examined as a single unit within Psychological testing — no further topic split in the official outline.

7. 7

   Applications of psychological testing in various settings

   6 topics

   • Clinical
   • Organizational and business
   • Education
   • Counseling
   • Military
   • Career guidance

Psychological testing flashcards for UGC NET Psycology

23 of 55 cards from the Psychological testing deck — real questions with worked answers.

1. In test construction, what is 'item writing'?

   The process of drafting individual test items (questions/tasks) according to clear specifications, so each item validly and unambiguously measures the intended construct.

2. List four common guidelines for writing good multiple-choice items.

   Keep the stem clear and complete; avoid ambiguous wording and double negatives; make all distractors plausible and grammatically consistent; avoid 'all/none of the above' and unintended cues to the correct answer.

3. What is item analysis in psychological testing?

   The statistical evaluation of individual test items—mainly their difficulty and discrimination—used to select, revise, or discard items and improve overall test quality.

4. How is the item difficulty index (p) defined and what range is usually ideal?

   p = proportion of examinees answering an item correctly (0 to 1). Higher p = easier item. For maximum discrimination, p values around 0.50 are usually ideal (commonly accepted range ~0.30–0.70).

5. What is the item discrimination index (D) and how is it computed?

   D measures how well an item distinguishes high from low scorers: D = (proportion correct in upper group) − (proportion correct in lower group), using top and bottom 27% of examinees. Ranges from −1 to +1; D ≥ 0.40 is very good.

6. What does a negative item discrimination index indicate?

   That low scorers answered the item correctly more often than high scorers—signalling a flawed, miskeyed, or ambiguous item that should be revised or discarded.

7. Define reliability in psychological testing.

   The consistency, stability, and repeatability of test scores—the extent to which scores are free from random measurement error.

8. Name the four major methods of estimating reliability.

   Test-retest (stability), parallel/alternate forms (equivalence), split-half (internal consistency), and internal consistency via Cronbach's alpha or Kuder-Richardson (KR-20/KR-21).

9. What is test-retest reliability and what error does it reflect?

   Correlation between scores from the same test given to the same people on two occasions; reflects stability over time and is affected by carry-over/practice effects and temporal error.

10. What is the Spearman-Brown formula used for?

    To estimate the reliability of a full-length test from a split-half correlation (correcting for the halving), and more generally to predict how reliability changes when test length is increased or decreased.

11. When is Kuder-Richardson KR-20 used instead of Cronbach's alpha?

    KR-20 is used for dichotomously scored items (right/wrong, yes/no); Cronbach's alpha generalizes internal-consistency reliability to items with multiple or continuous scoring.

12. What is the relationship between the reliability coefficient and the standard error of measurement (SEM)?

    SEM = SD × √(1 − reliability). Higher reliability gives a smaller SEM, meaning observed scores lie closer to true scores.

13. Define validity in psychological testing.

    The degree to which a test actually measures what it claims to measure, and the appropriateness of the inferences drawn from its scores.

14. Name the three traditional types of validity.

    Content validity, criterion-related validity (concurrent and predictive), and construct validity.

15. Distinguish concurrent from predictive validity.

    Both are criterion-related. Concurrent validity correlates test scores with a criterion measured at the same time; predictive validity correlates scores with a criterion measured in the future.

16. What are convergent and discriminant validity?

    Forms of construct validity: convergent validity = high correlation with measures of the same/related constructs; discriminant (divergent) validity = low correlation with measures of unrelated constructs. Assessed via the multitrait-multimethod matrix.

17. What is the theoretical relationship between reliability and validity?

    Reliability is necessary but not sufficient for validity. A test cannot be more valid than it is reliable; validity is mathematically limited by the square root of the reliability coefficient.

18. What are norms in psychological testing?

    A set of scores from a representative standardization sample that provides a frame of reference for interpreting an individual's raw score relative to others.

19. What is a percentile rank?

    A norm-referenced score indicating the percentage of people in the norm group who scored at or below a given raw score (e.g., a percentile rank of 80 = scored equal to or better than 80% of the sample).

20. Define a standard score (z-score) and its mean and SD.

    A z-score expresses a raw score in standard-deviation units from the mean: z = (X − M)/SD. It has a mean of 0 and a standard deviation of 1.

21. What are T-scores and stanines?

    T-scores: standardized scores with mean 50 and SD 10. Stanines: a 9-point scale (1–9) with mean 5 and SD ~2, dividing the normal distribution into nine bands.

22. Differentiate norm-referenced from criterion-referenced testing.

    Norm-referenced compares an individual's performance to a norm group (relative standing); criterion-referenced compares performance to a fixed standard or mastery criterion (absolute, e.g., pass/fail).

23. What is the original Stern formula for the Intelligence Quotient (IQ)?

    IQ = (Mental Age / Chronological Age) × 100. This ratio IQ was used in early Binet-type tests.

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