Moving beyond the Brag Sheet: A Meta-Analysis of Biodata Measures Predicting Student Outcomes

Autor/inn/en	Zhang, Charlene; Kuncel, Nathan R.
Titel	Moving beyond the Brag Sheet: A Meta-Analysis of Biodata Measures Predicting Student Outcomes
Quelle	In: Educational Measurement: Issues and Practice, 39 (2020) 3, S.106-121 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zhang, Charlene)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0731-1745
DOI	10.1111/emip.12313
Schlagwörter	Meta Analysis; Biographical Inventories; Scores; Predictor Variables; Academic Achievement; Grades (Scholastic); Academic Persistence; Extracurricular Activities; Leadership; Visual Arts; Theater Arts; Music; Sciences; Predictive Validity + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Biography; Biographies; Research; Biographie; Forschung; Biografieforschung; Biografische Methode; Biografisches Interview; Prädiktor; Schulleistung; Notenspiegel; Außerunterrichtliche Aktivität; Führung; Führungsposition; Optische Gestaltung; Theaterwissenschaft; Musik; Science; Wissenschaft
Abstract	Measures of biographical data, or biodata, provide indicators of one's life history and past experiences. Biodata information is often available in various forms during processes of academic admissions to higher education. Such information can be used, in combination with other factors, to predict students' future academic and extra-curricular accomplishments. There is a scattered body of literature investigating relationships between standardized biodata measures and a number of student criteria in college. The current study uses meta-analysis methods to summarize findings on how various biodata measures--overall scores or scale scores--predict student accomplishments, including grades, self- and other-rated performances, persistence, and extracurricular accomplishments. Data from 46 independent samples, consisting of 38,478 students and resulting in 74 individual predictor-criterion relationships were analyzed. Results indicate, generally, that biodata measures predict substantially students' academic and extra-curricular accomplishments. Overall biodata scores correlate with grades at 0.39, persistence at 0.25, and point-hour ratios at 0.35. Students' accomplishments in leadership, visual and performing arts, music, and science were predicted best by biodata measures developed specifically to target those outcomes. This meta-analytic study provides support for the predictive validity of biographical data inventories with respect to student outcomes and adds justification to the use of biodata in academic selection. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01