Descriptor
Source
Author
Yap, Kim Onn | 2 |
Hearn, James C. | 1 |
Kapes, Jerome T. | 1 |
Longuevan, Craig | 1 |
Lynch, Kathleen Bodisch | 1 |
Massey, Romeo M. | 1 |
Shoemaker, Judith | 1 |
Publication Type
Reports - Research | 7 |
Speeches/Meeting Papers | 7 |
Numerical/Quantitative Data | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Researchers | 3 |
Location
Belize | 1 |
Laws, Policies, & Programs
Elementary and Secondary… | 2 |
Assessments and Surveys
College Board Achievement… | 1 |
What Works Clearinghouse Rating
Longuevan, Craig; Shoemaker, Judith – 1991
The Tutorial Assistance Program (TAP) of the University of California (Irvine) is described and a new method of evaluation is illustrated through an analysis of the performance of students in six large introductory classes. This approach to evaluation starts with a multiple regression equation for predicting course grades of those not in tutoring…
Descriptors: Comparative Analysis, Grade Point Average, Higher Education, Multiple Regression Analysis
Yap, Kim Onn; And Others – 1979
The effects of using different data analysis methods on estimates of treatment effects of educational programs were investigated. Various regression models, such as those recommended for Title I program evaluations, were studied. The first effect studied was the amount of bias that might be expected to occur in the various settings. Results…
Descriptors: Bias, Compensatory Education, Evaluation Methods, Mathematical Models
Hearn, James C. – 1985
This report investigated the determinants of college students' overall evaluations of their academic programs (major field of study). The manner in which students weight the various domains of satisfaction and dissatisfaction in determining their level of overall program satisfaction was examined. The gender differences and field differences in…
Descriptors: College Seniors, Higher Education, Majors (Students), Models
Yap, Kim Onn – 1979
The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…
Descriptors: Correlation, Data Analysis, Educational Testing, Evaluation Methods
Lynch, Kathleen Bodisch – 1986
Educational programs and evaluations which were submitted to the Department of Education's Joint Dissemination Review Panel (JDRP), in order to be named validated programs, were studied to identify program characteristics associated with large versus small effect size. Effect size was calculated for 165 out of 232 submittals reviewed by JDRP from…
Descriptors: Effect Size, Elementary Secondary Education, Evaluation Criteria, Evaluation Methods
Kapes, Jerome T.; And Others – 1980
Three models of multiple regression analysis (MRA): single equation, commonality analysis, and path analysis, were applied to longitudinal data from the Pennsylvania Vocational Development Study. Variables influencing weekly income of vocational education students one year after high school graduation were examined: grade point averages (grades…
Descriptors: Grade Point Average, High School Graduates, High Schools, Income
Massey, Romeo M. – 1986
Belize's Relevant Education for Agriculture and Production (REAP) national primary school program is described in data from seven annual formative evaluations (1979-1985). The 1984-85 program/school evaluation included 54 rural REAP schools and utilized a 43-item questionnaire containing eight quality sub-variables. The quality of REAP schools…
Descriptors: Academic Achievement, Agricultural Skills, Comparative Analysis, Developing Nations