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Liang, Xinya; Cao, Chunhua – Journal of Experimental Education, 2023
To evaluate multidimensional factor structure, a popular method that combines features of confirmatory and exploratory factor analysis is Bayesian structural equation modeling with small-variance normal priors (BSEM-N). This simulation study evaluated BSEM-N as a variable selection and parameter estimation tool in factor analysis with sparse…
Descriptors: Factor Analysis, Bayesian Statistics, Structural Equation Models, Simulation
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Zhang, Zhonghua – Journal of Experimental Education, 2022
Reporting standard errors of equating has been advocated as a standard practice when conducting test equating. The two most widely applied procedures for standard errors of equating including the bootstrap method and the delta method are either computationally intensive or confined to the derivations of complicated formulas. In the current study,…
Descriptors: Error of Measurement, Item Response Theory, True Scores, Equated Scores
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Liu, Yixing; Thompson, Marilyn S. – Journal of Experimental Education, 2022
A simulation study was conducted to explore the impact of differential item functioning (DIF) on general factor difference estimation for bifactor, ordinal data. Common analysis misspecifications in which the generated bifactor data with DIF were fitted using models with equality constraints on noninvariant item parameters were compared under data…
Descriptors: Comparative Analysis, Item Analysis, Sample Size, Error of Measurement
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Paulsen, Justin; Valdivia, Dubravka Svetina – Journal of Experimental Education, 2022
Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…
Descriptors: Psychometrics, Classification, Teaching Methods, Learning Processes
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Follmer, D. Jake; Sperling, Rayne A. – Journal of Experimental Education, 2019
We examined the degree of convergence among self-regulated learning microanalysis, measures of metacognitive monitoring, and a self-regulated learning questionnaire during reading. Participants' reported strategy use during reading, as measured by self-regulated learning microanalysis, was significantly related to scores on a self-regulated…
Descriptors: Metacognition, Questionnaires, Reading Strategies, Item Analysis
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Choi, In-Hee; Paek, Insu; Cho, Sun-Joo – Journal of Experimental Education, 2017
The purpose of the current study is to examine the performance of four information criteria (Akaike's information criterion [AIC], corrected AIC [AICC] Bayesian information criterion [BIC], sample-size adjusted BIC [SABIC]) for detecting the correct number of latent classes in the mixture Rasch model through simulations. The simulation study…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Simulation
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Arce-Ferrer, Alvaro J.; Bulut, Okan – Journal of Experimental Education, 2019
This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…
Descriptors: Data Collection, Test Construction, Test Format, Computer Assisted Testing
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DiBattista, David; Sinnige-Egger, Jo-Anne; Fortuna, Glenda – Journal of Experimental Education, 2014
The authors assessed the effects of using "none of the above" as an option in a 40-item, general-knowledge multiple-choice test administered to undergraduate students. Examinees who selected "none of the above" were given an incentive to write the correct answer to the question posed. Using "none of the above" as the…
Descriptors: Multiple Choice Tests, Testing, Undergraduate Students, Test Items
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Kosko, Karl W.; Wilkins, Jesse L. M. – Journal of Experimental Education, 2015
Facilitating students' transition from less to more mathematically productive engagement in discussions is an important area of investigation. Research on mathematical whole-class discussions has consistently identified facilitating students' mathematical autonomy as a central component of this transition. Additionally, research commonly infers…
Descriptors: Mathematics Instruction, Personal Autonomy, Hierarchical Linear Modeling, Learner Engagement
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Wolters, Christopher A.; Benzon, Maria B. – Journal of Experimental Education, 2013
College students ("N" = 215) completed a self-report instrument designed to assess different regulation of motivation strategies as well as aspects of their motivational beliefs, use of cognitive and metacognitive learning strategies, and procrastination. The study serves to extend the research on the self-regulation of motivation…
Descriptors: College Students, Self Disclosure (Individuals), Self Management, Self Motivation
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Sackes, Mesut; Trundle, Kathy Cabe; Tuckman, Bruce W.; Krissek, Lawrence A. – Journal of Experimental Education, 2012
The purpose of this study was to develop an instrument to assess college students' efficacy beliefs for conceptual change and to examine the psychometric properties of the instrument. Participants were 692 students. Results of the confirmatory factor analysis supported the hypothesized single factor structure of Efficacy Beliefs for Conceptual…
Descriptors: Evidence, College Students, Construct Validity, Factor Structure
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Katz, Idit; Buzukashvili, Tamara; Feingold, Liat – Journal of Experimental Education, 2012
This article presents 2 studies aimed at validating a measure of stress experienced by children and parents around the issue of homework, applying Benson's program of validation (Benson, 1998). Study 1 provides external validity of the measure by supporting hypothesized relations between stress around homework and students' and parents' positive…
Descriptors: Homework, Learning Disabilities, Construct Validity, Stress Variables
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Nadelson, Louis S.; Southerland, Sherry A. – Journal of Experimental Education, 2010
The challenges in teaching and learning of biological evolution continue to be documented (NAS, 2008). Developers of science standards continue their work to increase emphasis on evolution. Although gains have been made, many K-12 science curricula focus on microevolution (i.e., natural selection, genetic drift), and a more limited effort is in…
Descriptors: Biology, Evolution, Scientific Principles, Science Education
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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
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Gable, Robert K.; Pruzek, Robert M. – Journal of Experimental Education, 1971
Descriptors: Item Analysis, Measurement Instruments, Tests, Values
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