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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

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

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

Stavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis

Gupta, J. K.; And Others – Journal of Experimental Education, 1988
A multiple regression model for estimating true change of an individual by using information in addition to pretest-posttest data is described. Longitudinal panel or multi-wave data taken between the pretest and the posttest constitute the additional information. (TJH)
Descriptors: Change, Equations (Mathematics), Estimation (Mathematics), Longitudinal Studies

Jacka, Brian – Journal of Experimental Education, 1983
Hypothesis predicting ordinal interactions between self-concept and high and low guidance methods of instruction were tested with 92 elementary school subjects. General and academic self-concept were independent variables, the dependent variables being recall and two types of transfer skill. Multiple regression analysis showed the interaction…
Descriptors: Aptitude Treatment Interaction, Elementary Education, Multiple Regression Analysis, Rating Scales

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

Marjoribanks, Kevin – Journal of Experimental Education, 1979
Using a national survey of 11-, 12-, and 15-year-old English students, the relationship between intelligence and academic achievement was examined at different levels of socioeconomic status and family environment. Regression surfaces were constructed from models which examined possible linear, interaction, and curvilinear relations between the…
Descriptors: Academic Achievement, Elementary Secondary Education, Family Influence, Foreign Countries
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