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Richey, J. Elizabeth; Bernacki, Matthew L.; Belenky, Daniel M.; Nokes-Malach, Timothy J. – Journal of Experimental Education, 2018
Models of achievement goals suggest that different tasks and contexts influence the goals students adopt at a given time. However, many studies of achievement goals rely on measures assessed at the class level, analyze results with a variable-centered approach, and employ self-report questionnaires, which may reduce understanding of the contextual…
Descriptors: Grade 7, Grade 8, Middle School Students, Context Effect
Won, Sungjun; Wolters, Christopher A.; Mueller, Stefanie A. – Journal of Experimental Education, 2018
We examined two aspects of college students' (N = 385) sense of belonging and its relations with three indicators of self-regulated learning. We also tested the mediating role of achievement goals in these relations. One aspect, sense of belonging to school, functioned as a significant predictor of self-reported metacognitive and academic time…
Descriptors: Sense of Community, College Students, Time Management, Peer Groups
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Herppich, Stephanie; Wittwer, Jorg; Nuckles, Matthias; Renkl, Alexander – Journal of Experimental Education, 2013
Tutors often have difficulty with accurately assessing a tutee's understanding. However, little is known about whether the professional expertise of tutors influences their assessment accuracy. In this study, the authors examined the accuracy with which 21 teacher tutors and 25 student tutors assessed a tutee's understanding of the human…
Descriptors: Tutors, Tutoring, Science Teachers, College Students
Finch, Holmes – Journal of Experimental Education, 2010
Discriminant Analysis (DA) is a tool commonly used for differentiating among 2 or more groups based on 2 or more predictor variables. DA works by finding 1 or more linear combinations of the predictors that yield maximal difference among the groups. One common goal of researchers using DA is to characterize the nature of group difference by…
Descriptors: Simulation, Predictor Variables, Discriminant Analysis, Comparative Analysis
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Fives, Helenrose; Buehl, Michelle M. – Journal of Experimental Education, 2009
The authors examined the factor structure of the long and short forms of the Teachers' Sense of Efficacy Scale (TSES; M. Tschannen-Moran & A. Woolfolk-Hoy, 2001) for practicing (n = 102) and preservice teachers (n = 270), comparing the responses to both forms of the TSES, and looked for differences in teachers' efficacy with respect to…
Descriptors: Classroom Techniques, Preservice Teachers, Factor Structure, Measures (Individuals)

Davey, Beth – Journal of Experimental Education, 1988
The contribution of passage variables, question types, and format variables to reading comprehension was assessed for 50 successful and 50 unsuccessful readers. A three-stage conditional regression assessed the predictability of 20 predictor features on item difficulty scores. The location of response information and stem length accounted for…
Descriptors: Comparative Analysis, Difficulty Level, Elementary Secondary Education, Predictor Variables

Nelson, Larry R. – Journal of Experimental Education, 1979
The authors state that multiple regression is a powerful method of statistical analysis, provides a strength of relationship index, and should replace analysis of variance (ANOVA) in educational research. They also discuss the coding of categorical variables and available computer programs for multiple regression. (Author/MH)
Descriptors: Analysis of Variance, Classification, Comparative Analysis, Computer Programs