Dale C Brandenburg
Biographic Data
| ID | 5451583 |
|---|---|
| NAME | Dale C Brandenburg |
| GIVEN NAMES | Dale C |
| FAMILY NAME | Brandenburg |
| SIGNATURE | BRANDENBURG D C |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1974 |
| LATEST PUBLICATION YEAR | 1978 |
| H-INDEX | 0 |
Student Evaluation of Academic Programs
Additional informationNotes on contributorsH. Richard SmockH. Richard Smock is associate director, Office of Planning and Evaluation, and vice-chancellor for academic affairs, University of Illinois, Urbana-Champaign. Dale C. Brandenburg is coordinator of instructor and course evaluation, Measurement and Research Division, Office of Instructional Resources, at the same university.Dale C. BrandenburgH. Richard Smock is associate director, Office o…
The Use of Multiple Matrix Sampling to Approximate Norms Distributions
Multiple matrix sampling (MMS) procedures were utilized to determine the necessary parameters of a Pearson Type I curve. Empirical norms distributions were approximated by both the Type I model and the negative hypergeometric model. Four existing ITED norms distributions, two subtests and two grades, were approximated by the MMS procedures. Two sampling designs for each test-grade combination were studied. Comparison of approximations obtained fo…
Approximating Standardized Achievement Test Norms With a Theoretical Model
This study was undertaken to answer the following research question: Can standardized achievement test norms be better estimated with a theoretical probability model other than the negative hypergeometric model? Ninety norms distributions from two standardized achievement test batteries (ITBS and ITED) were fitted by six models. The results strongly supported the Pearson Type I model (four moments) as the best-fitting curve. It was concluded that…
No prominent works on this page.
The Use of Multiple Matrix Sampling to Approximate Norms Distributions
Multiple matrix sampling (MMS) procedures were utilized to determine the necessary parameters of a Pearson Type I curve. Empirical norms distributions were approximated by both the Type I model and the negative hypergeometric model. Four existing ITED norms distributions, two subtests and two grades, were approximated by the MMS procedures. Two sampling designs for each test-grade combination were studied. Comparison of approximations obtained fo…
Approximating Standardized Achievement Test Norms With a Theoretical Model
This study was undertaken to answer the following research question: Can standardized achievement test norms be better estimated with a theoretical probability model other than the negative hypergeometric model? Ninety norms distributions from two standardized achievement test batteries (ITBS and ITED) were fitted by six models. The results strongly supported the Pearson Type I model (four moments) as the best-fitting curve. It was concluded that…
Student Evaluation of Academic Programs
Additional informationNotes on contributorsH. Richard SmockH. Richard Smock is associate director, Office of Planning and Evaluation, and vice-chancellor for academic affairs, University of Illinois, Urbana-Champaign. Dale C. Brandenburg is coordinator of instructor and course evaluation, Measurement and Research Division, Office of Instructional Resources, at the same university.Dale C. BrandenburgH. Richard Smock is associate director, Office o…
Psychology (3 works) · Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Sampling (signal processing) (2 works) · Statistics (2 works) · Academic achievement (1 work) · Achievement test (1 work) · Applied Mathematics (1 work) · Applied Mathematics (1 work)