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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
Høgheim, Sigve; Reber, Rolf – Journal of Experimental Education, 2017
Building on common assumptions in theories of interest and mathematics education, this experimental study examined the effect of context personalization based on individual preferences, group personalization, and example choice with preselected popular examples on middle school students' situational interest and performance in mathematics.…
Descriptors: Mathematics Instruction, Middle School Students, Student Interests, Mathematics Achievement
Liu, Ru-De; Ding, Yi; Gao, Bing-Cheng; Zhang, Dake – Journal of Experimental Education, 2015
This study aimed to examine the relations among property strategies, working memory, and multiplication tasks with 101 Chinese fourth-grade students. Two multiplication property strategies (associative and distributive) were compared with no strategy and demonstrated differentiated effects on students' accuracy and reaction time. Associative…
Descriptors: Elementary School Students, Elementary School Mathematics, Grade 4, Short Term Memory
Shim, Sungok Serena; Cho, YoonJung; Cassady, Jerrell – Journal of Experimental Education, 2013
This study investigated how teachers' achievement goals for teaching and implicit theories of their students' intelligence are associated with the goal structures that they create in their classrooms. Teachers ("N" = 209) reported their achievement goals for teaching (mastery, performance-approach goals, and performance-avoidance goals),…
Descriptors: Intelligence, Theories, Expectation, Goal Orientation
Wolters, Christopher A.; Fan, Weihua; Daugherty, Stacy G. – Journal of Experimental Education, 2013
This study was designed to forge stronger theoretical and empirical links between achievement goal theory and attribution theory. High school students ("N" = 224) completed a self-report survey that assessed 3 types of achievement goals, 7 types of attributions, and self-efficacy. Results indicated that students' adoption of achievement…
Descriptors: Goal Orientation, Attribution Theory, Self Efficacy, Academic Achievement
Harvey, Kristin Emilia; Suizzo, Marie-Anne; Jackson, Karen Moran – Journal of Experimental Education, 2016
The aims of this study were to investigate the effects of discrepancies between teachers' perceptions of students' motivation and students' reports of their motivation on math and English grades and to identify possible gender and ethnic differences. Participants included 215 low-income, ethnic-minority students and their teachers in academically…
Descriptors: Middle School Students, Minority Group Students, Low Income Students, Urban Schools
Kiefer, Sarah M.; Matthews, Yanique T.; Montesino, Mario; Arango, Liza; Preece, Krystle K. – Journal of Experimental Education, 2013
This study investigated the proposal that (a) contextual and personal factors affect the endorsement of social goals during early adolescence and (b) contextual factors and social goals may change over time. Self-reports of classroom contextual factors (i.e., promotion of performance goals, social interaction, and mutual respect) and personal…
Descriptors: Early Adolescents, Goal Orientation, Context Effect, Prediction

Stavig, Gordon R. – Journal of Experimental Education, 1981
To facilitate statistical decisions about sets of results encompassing more than a single isolated test, a joint probability multiple comparisons significance test for path analysis, multiple regression, and a correlation matrix is developed. (Author/AEF)
Descriptors: Correlation, Multiple Regression Analysis, Path Analysis, Probability

Collet, Leverne S.; Maxey, James H. – Journal of Experimental Education, 1971
Descriptors: Analysis of Variance, Multiple Regression Analysis, Statistical 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)

Dixon, Paul W. – Journal of Experimental Education, 1971
Descriptors: Correlation, Factor Analysis, Multiple Regression Analysis, Oblique Rotation

Preece, Peter F. W. – Journal of Experimental Education, 1978
Using a degenerate multivariate normal model for the distribution of organismic variables, the form of least-squares regression analysis required to estimate a linear functional relationship between variables is derived. It is suggested that the two conventional regression lines may be considered to describe functional, not merely statistical,…
Descriptors: Mathematical Models, Multiple Regression Analysis, Regression (Statistics), Statistical Analysis

McNeil, Keith – Journal of Experimental Education, 1974
Multiple linear regression has been shown to be applicable for analysis of variance hypotheses, for scaling purposes, and for analysis of single organism data. The present paper shows the application to chi square. (Author)
Descriptors: Educational Research, Multiple Regression Analysis, Probability, Statistical Data

Webster, William J.; Eichelberger, R. Tony – Journal of Experimental Education, 1972
Article applies multiple regression analytic technique to the CIPP model. (Authors/MB)
Descriptors: Decision Making, Evaluation Methods, Models, Multiple Regression Analysis

Morris, John D.; And Others – Journal of Experimental Education, 1979
Three traditional methods of selection of variables to be included in a "best" regression equation are compared to a method designed to maximize weight validity. Implications for constructing regression equations for prediction are discussed, with consideration of the weight validity maximization method recommended in crucial situations.…
Descriptors: Academic Achievement, High Schools, Multiple Regression Analysis, Predictor Variables