Advanced Psychological Assessment

Study lessons

1. 1

   Reliability, validity, and standardization: making a score trustworthy

   How the four kinds of reliability, the standard error of measurement, the content, criterion, and construct families of validity, and standardization together decide whether a test score can be believed.

   15 min
2. 2

   Test construction, item analysis, and norms

   The steps of building a test, how item difficulty and item discrimination indices sort good items from bad ones, the basics of item response theory, and norm-referenced versus criterion-referenced interpretation, bias, and fairness.

   15 min
3. 3

   Intelligence and cognitive testing

   The major theories of intelligence from Spearman to Sternberg, the Wechsler scales and the Stanford-Binet, how the deviation IQ works, and the difference between cognitive, aptitude, and achievement testing.

   15 min
4. 4

   Personality assessment: objective and projective methods

   How objective inventories such as the MMPI, 16PF, and NEO-PI work, what their validity scales catch, how projective techniques like the Rorschach, TAT, sentence completion, and figure drawing rest on the projective hypothesis, and the strengths and limits of each approach.

   15 min
5. 5

   The clinical interview, mental status exam, and neuropsychological assessment

   How structured and unstructured clinical interviews differ, the components of the mental status examination, the logic of behavioral assessment, and the main neuropsychological instruments including the Halstead-Reitan, Luria-Nebraska, and Bender-Gestalt.

   15 min
6. 6

   Statistics for assessment

   The scales of measurement, descriptive statistics of central tendency and variability, the normal curve, the standard score family of z, T, IQ, stanine, and percentile, correlation with Pearson r, and the basics of significance testing.

   15 min

Section practice test

3 test sets covering the whole Advanced Psychological Assessment section, 90 original questions with explanations. After you finish the lessons above, prove it here. Randomized every run.