ERIC Number: EJ1170250
Record Type: Journal
Publication Date: 2018-Mar
Abstractor: As Provided
Going beyond the Mean: Using Variances to Enhance Understanding of the Impact of Educational Interventions for Multilevel Models
Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J.
Educational Research Quarterly, v41 n3 p39-71 Mar 2018
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.
Descriptors: Educational Research, Hierarchical Linear Modeling, Engineering, Design, STEM Education, Science Curriculum, Academic Achievement, Equations (Mathematics), Statistical Analysis, Achievement Gap, Evaluation Methods, Predictor Variables
Behavioral Research Press. Grambling State University, Math Department, P.O. Box 1191, Grambling, LA 71245. Tel: 318-274-2425; Web site: http://erquarterly.org/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A