Abstract
Psychologists studying developmental processes and sociologists studying social change developed sequential designs to enhance our ability to interpret change-related phenomena. Many educational researchers are also concerned with partitioning variance associated with change. Given the increased data-based capabilities of educational institutions, educational researchers should have more opportunities to use sequential designs. To this end, this paper illustrates how to analyze educational data from a cohort-sequential design. University data pertaining to grade inflation were analyzed using a variant of multiple regression.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 227-230 |
| Number of pages | 4 |
| Journal | Journal of Experimental Education |
| Volume | 52 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1984 |
ASJC Scopus subject areas
- Education
- Developmental and Educational Psychology
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