NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Campbell, Brian; Wilson, Bradley J. – Journal of School Psychology, 1986
Investigated Kaufman's procedures for determining intersubtest scatter on the Wechsler Intelligence Scale for Children-Revised by means of Sattler's revised tables for determining significant subtest fluctuations. Results indicated that Sattler's revised tables yielded more conservative estimates of subtest scatter than those originally reported…
Descriptors: Intelligence Tests, Scoring Formulas, Statistical Analysis, Statistical Distributions
Peer reviewed Peer reviewed
Clampit, M. K.; Silver, Stephen J. – Journal of School Psychology, 1986
Presents four tables for the statistical interpretation of factor scores on the Wechsler Intelligence Scale for Children-Revised. Provides the percentile equivalents of factor scores; the significance of differences between factor scores; the frequency with which specified discrepancies occur; the significance of differences between a factor score…
Descriptors: Factor Analysis, Intelligence Tests, Scores, Scoring Formulas
Lyman, Howard B. – Measurement and Evaluation in Guidance, 1974
It is important for counselors to understand the problems involved in testing students and also how to properly evaluate test results. This article discusses both areas. (HMV)
Descriptors: Counseling Services, Educational Testing, Intelligence Tests, Scoring Formulas
Peer reviewed Peer reviewed
Sattler, Jerome M.; And Others – Psychology in the Schools, 1978
Fabricated test protocols were used to study how effectively examiners agree in scoring ambiguous WISC-R responses. The results suggest that, even with the improved WISC-R manual, scoring remains a difficult and challenging task. (Author)
Descriptors: Comparative Analysis, Intelligence Tests, Research Projects, Scoring Formulas
Peer reviewed Peer reviewed
Reynolds, Cecil R.; Clark, Julia H. – Psychology in the Schools, 1986
Describes a method using age equivalents and standard scores to recreate the full range of variability in the scores of high-functioning individuals. The method allows for a more complete interpretation of performance that can lead to better educational and therapeutic programing. (Author/ABB)
Descriptors: Children, Elementary Secondary Education, Gifted, High Achievement