Literaturnachweis - Detailanzeige
Autor/inn/en | Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J. |
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Titel | Going beyond the Mean: Using Variances to Enhance Understanding of the Impact of Educational Interventions for Multilevel Models |
Quelle | In: Educational Research Quarterly, 41 (2018) 3, S.39-71 (33 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0196-5042 |
Schlagwörter | Educational Research; Hierarchical Linear Modeling; Engineering; Design; STEM Education; Science Curriculum; Academic Achievement; Equations (Mathematics); Statistical Analysis; Achievement Gap; Evaluation Methods; Predictor Variables |
Abstract | Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in ways that can inform and improve the treatment. Even in the absence of a treatment effect expressed through means studying variance heterogeneity offers insight into a treatment by identifying subject characteristics related to heterogeneity. This study illustrates four methods of modeling variance heterogeneity for data from a study of the impact of an engineering design-based STEM curriculum on student achievement with a focus on multilevel models. (As Provided). |
Anmerkungen | Behavioral Research Press. Grambling State University, Math Department, P.O. Box 1191, Grambling, LA 71245. Tel: 318-274-2425; Web site: http://erquarterly.org/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |