Analyzing educational data from a cohort-sequential design: An illustration using GPA

Frances K. Stage, Morris A. Okun, William A. Stock, Linda K. George

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)227-230
Number of pages4
JournalJournal of Experimental Education
Volume52
Issue number4
DOIs
StatePublished - Jun 1984

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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