NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)4
Since 2006 (last 20 years)10
Source
Journal of Experimental…13
Audience
Researchers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver; Greiff, Samuel – Journal of Experimental Education, 2017
We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…
Descriptors: Factor Analysis, Evaluation Methods, Identification, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Heddy, Benjamin C.; Danielson, Robert W.; Sinatra, Gale M.; Graham, Jesse – Journal of Experimental Education, 2017
The purpose of this study was to explore whether conceptual change predicted emotional and attitudinal change while learning about genetically modified foods (GMFs). Participants were 322 college students; half read a refutation text designed to shift conceptual knowledge, emotions, and attitudes, while the other half served as a control group.…
Descriptors: Genetics, Food, Attitude Change, Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Nimon, Kim; Henson, Robin K. – Journal of Experimental Education, 2015
The authors empirically examined whether the validity of a residualized dependent variable after covariance adjustment is comparable to that of the original variable of interest. When variance of a dependent variable is removed as a result of one or more covariates, the residual variance may not reflect the same meaning. Using the pretest-posttest…
Descriptors: Statistical Analysis, Construct Validity, Pretesting, Pretests Posttests
Peer reviewed Peer reviewed
Direct linkDirect link
Guay, Frédéric; Morin, Alexandre J. S.; Litalien, David; Valois, Pierre; Vallerand, Robert J. – Journal of Experimental Education, 2015
In this research, the authors examined the construct validity of scores of the Academic Motivation Scale using exploratory structural equation modeling. Study 1 and Study 2 involved 1,416 college students and 4,498 high school students, respectively. First, results of both studies indicated that the factor structure tested with exploratory…
Descriptors: Structural Equation Models, Construct Validity, Learning Motivation, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Arens, A. Katrin; Morin, Alexandre J. S. – Journal of Experimental Education, 2016
This study is a substantive-methodological synergy in which exploratory structural equation modeling is applied to investigate the factor structure of multidimensional self-concept instruments. On the basis of a sample of German students (N = 1958) who completed the Self-Description Questionnaire I and the Self-Perception Profile for Children, the…
Descriptors: Foreign Countries, Self Concept Measures, Structural Equation Models, Factor Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Müller, Bettina; Richter, Tobias; Križan, Ana; Hecht, Teresa; Ennemoser, Marco – Journal of Experimental Education, 2016
Reading strategy interventions relying upon peer tutoring are a common way to foster poor readers' comprehension skills. Those interventions are based on the assumption that tutees benefit from the (higher) reading skills of their tutors. However, this interpersonal effect has not yet been tested explicitly because the effectiveness of peer…
Descriptors: Reading Skills, Control Groups, Pretests Posttests, Peer Teaching
Peer reviewed Peer reviewed
Direct linkDirect link
Hsieh, Pei-Hsuan; Sullivan, Jeremy R.; Sass, Daniel A.; Guerra, Norma S. – Journal of Experimental Education, 2012
Research has identified factors associated with academic success by evaluating relations among psychological and academic variables, although few studies have examined theoretical models to understand the complex links. This study used structural equation modeling to investigate whether the relation between test anxiety and final course grades was…
Descriptors: Undergraduate Students, Intervention, Structural Equation Models, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Bong, Mimi; Woo, Yeonkyoung; Shin, Jiyoun – Journal of Experimental Education, 2013
The authors tested whether multiple components of a performance goal were differentiated by a group of Korean middle school students ("N" = 239). Confirmatory factor analyses showed that the normative and outcome components as well as the approach and avoidance components correlated too highly to be considered independent. A 2-factor…
Descriptors: Foreign Countries, Goal Orientation, Middle School Students, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Yi-Hsin; Thompson, Marilyn S.; Kromrey, Jeffrey D.; Chang, George H. – Journal of Experimental Education, 2011
In this article, the authors investigated the relations of students' perceptions of teachers' oral feedback with teacher expectancies and student self-concept. A sample of 1,598 Taiwanese children in Grades 3 to 6 completed measures of student perceptions of teacher oral feedback and school self-concept. Homeroom teachers identified students for…
Descriptors: Feedback (Response), Student Attitudes, Structural Equation Models, Discriminant Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Zhongmiao; Thompson, Bruce – Journal of Experimental Education, 2007
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R[squared] correction formulas with the Pearson r[squared]. The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population [rho] values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9; population shapes normal, skewness…
Descriptors: Effect Size, Correlation, Mathematical Formulas, Monte Carlo Methods
Peer reviewed Peer reviewed
Sivo, Stephen A.; Willson, Victor L. – Journal of Experimental Education, 1998
Critiques H. W. Marsh and K.-T. Hau's (1996) assertion that parsimony is not always desirable when assessing model-fit on a particular counterexample drawn from Marsh's previous research. This counterexample is neither general nor valid enough to support such a thesis and it signals an oversight of extant, stochastic models justifying correlated…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
Peer reviewed Peer reviewed
Hoyle, Rick H. – Journal of Experimental Education, 1998
In response to H. W. Marsh and K.-T. Hau's (1996) article on the potential for inferential errors when parsimony is rewarded in the evaluation of overall fit of structural equation models, a design-sensitive adjustment to the standard parsimony ratio is proposed. This ratio renders a more reasonable upper bound than does the standard parsimony…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
Peer reviewed Peer reviewed
Games, Paul A. – Journal of Experimental Education, 1990
The logical flaw of using the methods of path analysis and structural equation modeling to make causative conclusions is demonstrated. A proper evaluation of the role of investigation versus experimentation is cited in the work of W. G. Cochran as explicated by D. R. Rubin (1983). (TJH)
Descriptors: Causal Models, Correlation, Experiments, Methods Research