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Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
Kelly, Sean; Ye, Feifei – Journal of Experimental Education, 2017
Educational analysts studying achievement and other educational outcomes frequently encounter an association between initial status and growth, which has important implications for the analysis of covariate effects, including group differences in growth. As explicated by Allison (1990), where only two time points of data are available, identifying…
Descriptors: Regression (Statistics), Models, Error of Measurement, Scores
Pugh, Kevin J.; Bergstrom, Cassendra M.; Heddy, Benjamin C.; Krob, Karen E. – Journal of Experimental Education, 2017
The Teaching for Transformative Experiences in Science (TTES) model was designed to facilitate the application of academic learning in students' everyday experiences. In the current study, we describe a 2-year design-based intervention that aimed to further develop and evaluate the TTES model. In the first year, a teacher implemented the TTES…
Descriptors: Science Instruction, Transformative Learning, Instructional Design, Models
Kadengye, Damazo T.; Ceulemans, Eva; Van Den Noortgate, Wim – Journal of Experimental Education, 2015
In educational environments, monitoring persons' progress over time may help teachers to evaluate the effectiveness of their teaching procedures. Electronic learning environments are increasingly being used as part of formal education and resulting datasets can be used to understand and to improve the environment. This study presents…
Descriptors: Electronic Learning, Educational Environment, Longitudinal Studies, Item Response Theory
Fang, Hua; Brooks, Gordon P.; Rizzo, Maria L.; Espy, Kimberly Andrews; Barcikowski, Robert S. – Journal of Experimental Education, 2009
Because the power properties of traditional repeated measures and hierarchical multivariate linear models have not been clearly determined in the balanced design for longitudinal studies in the literature, the authors present a power comparison study of traditional repeated measures and hierarchical multivariate linear models under 3…
Descriptors: Longitudinal Studies, Models, Measurement, Multivariate Analysis
Large Sample Multivariate Procedures for Comparing and Combining Effect Sizes within a Single Study.

Marascuilo, Leonard A.; And Others – Journal of Experimental Education, 1988
Large sample multivariate methods for estimating and comparing effect sizes across independent samples within a single study are presented. Procedures for pooling treatment effects are provided to allow determination of overall study effect sizes for treatments with similar effects prior to implementation of meta-analyses. (TJH)
Descriptors: Effect Size, Equations (Mathematics), Estimation (Mathematics), Meta Analysis