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Sanders, Elizabeth A.; Dietrich, Elizabeth A. – AERA Online Paper Repository, 2017
The purpose of this paper is to provide guidance in choice of analytic bias reduction methods for educational studies in which the goal is to estimate a treatment effect in the presence of selection bias into treatment. In addition, issues of dimensionality, collinearity, omitted confounders, missing outcomes, and non-independence may be factors…
Descriptors: Statistical Bias, Quasiexperimental Design, Computation, Educational Research
Plonsky, Luke; Oswald, Frederick L. – Studies in Second Language Acquisition, 2017
Second language (L2) research relies heavily and increasingly on ANOVA (analysis of variance)-based results as a means to advance theory and practice. This fact alone should merit some reflection on the utility and value of ANOVA. It is possible that we could use this procedure more appropriately and, as argued here, other analyses such as…
Descriptors: Multiple Regression Analysis, Statistical Analysis, Comparative Analysis, Second Language Learning
Ninkovic, Stefan R.; Kneževic Floric, Olivera C. – Educational Management Administration & Leadership, 2018
Although scholars have acknowledged the role of collaborative relationships of teachers in improving the quality of instruction, teacher collective efficacy continues to be a neglected construct in educational research. The purpose of this paper is to explore the relations between transformational school leadership, teacher self-efficacy and…
Descriptors: Transformational Leadership, Instructional Leadership, Self Efficacy, Predictor Variables
Nagengast, Benjamin; Brisson, Brigitte M.; Hulleman, Chris S.; Gaspard, Hanna; Häfner, Isabelle; Trautwein, Ulrich – Journal of Experimental Education, 2018
An emerging literature demonstrates that relevance interventions, which ask students to produce written reflections on how what they are learning relates to their lives, improve student learning outcomes. As part of a randomized evaluation of a relevance intervention (N = 1,978 students from 82 ninth-grade classes), we used Complier Average Causal…
Descriptors: Educational Research, Intervention, Relevance (Education), Reflection
Lu, Ming-Tsan P.; Shin, Yousun; Overton, Terry – Journal of Education and Learning, 2016
The purpose of the study was to report the analysis results of two-year accumulative data from Research Academy workshops held for pre-service and in-service teachers in a southern state Hispanic-Serving Institution. Graduate students' perceptions of learning through these professional development workshops were reported. Statistical analyses were…
Descriptors: Inservice Teacher Education, Preservice Teacher Education, Teacher Workshops, Hispanic Americans
Lysenko, Larysa V.; Abrami, Philip C.; Dagenais, Christian; Janosz, Michel – Canadian Journal of Education, 2014
This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…
Descriptors: Educational Research, Educational Researchers, Research Utilization, Predictor Variables
Mintrom, Michael – Cogent Education, 2014
Research findings on effective support for learning, the development of expertise, and the psychology of success suggest that the pursuit of excellence is teachable. Within the emerging field of research and practice termed "the scholarship of teaching and learning," considerable effort has been made to document the practices of teachers…
Descriptors: Teacher Effectiveness, Educational Research, Outcomes of Education, Graduate Students
Yamada, Reiko – International Education Journal: Comparative Perspectives, 2014
Ensuring gains in the learning outcomes of college students has become a major concern for Japanese higher education institutions. In recent decades, national and public as well as private universities have been forced to embed learning outcomes into their curriculum. A number of studies have shown that the learning outcomes of students are…
Descriptors: Foreign Countries, Outcomes of Education, College Students, Comparative Analysis

Williams, John D. – Journal of Experimental Education, 1974
The importance of the method given in the body of this article is that it presents Tukey's test in a greatly simplified form for the applied researcher. (Author)
Descriptors: Educational Research, Multiple Regression Analysis, Statistical Analysis, Tables (Data)
Williams, John D.; Lindem, Alfred C. – College of Education Record (University of North Dakota), 1971
The authors describe a computer program which deals with sets of variables rather than with one variable at a time. (MM)
Descriptors: Computer Programs, Data Analysis, Educational Research, Multiple Regression Analysis

Hinkle, Dennis E.; Oliver, J. Dale – Journal of Vocational Education Research, 1986
Multiple regression analysis (MRA) may be used when both continuous and categorical variables are included as independent research variables. The use of MRA with categorical variables involves dummy coding, that is, assigning zeros and ones to levels of categorical variables. Caution is urged in results interpretation. (Author/CH)
Descriptors: Analysis of Variance, Educational Research, Multiple Regression Analysis, Research Methodology

Roscoe, John T.; Kittleson, Howard M. – Journal of Experimental Education, 1972
Copies of a complete multiple regression computer program (incorporating the modified Gauss-Jordan procedure) and instructions for its use may be found in the senior author's recent book, The Funstat Package in Fortran IV,'' Holt, Rinehart and Winston. (Authors/CB)
Descriptors: Computer Programs, Correlation, Educational Research, Mathematical Applications

Huberty, Carl J.; Petoskey, Martha D. – Journal of Vocational Education Research, 1999
Distinguishes between multiple correlation and multiple regression analysis. Illustrates suggested information reporting methods and reviews the use of regression methods when dealing with problems of missing data. (SK)
Descriptors: Correlation, Educational Research, Multiple Regression Analysis, Research Methodology

Suddick, D. E. – Journal of Experimental Education, 1974
It is the purpose of this paper to investigate the chance nature of overfit as it relates to a regression formulation of research, to describe a model for projecting the overfit, and to empirically validate the model. (Author)
Descriptors: Correlation, Educational Research, Models, Multiple Regression Analysis

Counts, George E. – Journal of Experimental Education, 1976
The purpose of this report is to describe a process for creating unique multiple linear regression problems for each student. Three formulas were utilized to define intercorrelations between variables. (Editor)
Descriptors: Educational Research, Multiple Regression Analysis, Research Methodology, Statistical Analysis