Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Academic Achievement | 2 |
| Error of Measurement | 2 |
| Path Analysis | 2 |
| Academic Persistence | 1 |
| Analysis of Covariance | 1 |
| College Entrance Examinations | 1 |
| College Freshmen | 1 |
| Educational Research | 1 |
| Factor Analysis | 1 |
| Family Income | 1 |
| Grade Point Average | 1 |
| More ▼ | |
Source
| Educational Assessment | 1 |
Author
| Le, Huy | 1 |
| Linn, Robert L. | 1 |
| Radunzel, Justine M. R. | 1 |
| Robbins, Steven B. | 1 |
| Schmidt, Frank L. | 1 |
| Werts, Charles E. | 1 |
| Westrick, Paul A. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| High Schools | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 1 |
What Works Clearinghouse Rating
Westrick, Paul A.; Schmidt, Frank L.; Le, Huy; Robbins, Steven B.; Radunzel, Justine M. R. – Educational Assessment, 2021
This meta-analytic path analysis presents evidence that first-year academic performance (FYAP), measured by first-year grade point average (FYGPA) plays the major role in determining second-year student retention and that socioeconomic status (SES), measured by parental income, plays a negligible role. Based on large sample data used in a previous…
Descriptors: Meta Analysis, Academic Achievement, Academic Persistence, Grade Point Average
Werts, Charles E.; Linn, Robert L. – 1972
The objective of this study was to review and integrate the various methodologies used in the study of individual growth (especially academic growth). This was accomplished by means of Joreskog's general model for the analysis of covariance structures, i.e., each of the disparate methodologies available from the literature was shown to be a…
Descriptors: Academic Achievement, Analysis of Covariance, Educational Research, Error of Measurement

Peer reviewed
Direct link
