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Eser, Mehmet Taha – International Online Journal of Education and Teaching, 2021
This study aims to compare the results of the factor analysis performed with Frequentist and Bayesian approaches. The number of sub-dimensions of the measurement tool obtained from different methods, the variation of the items in the sub-dimensions, and the fit statistics' differentiation were examined. 778 students constitute the study sample.…
Descriptors: Factor Analysis, Bayesian Statistics, Measurement Techniques, Goodness of Fit
Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study
Zeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
Koziol, Natalie A.; Bovaird, James A. – Educational and Psychological Measurement, 2018
Evaluations of measurement invariance provide essential construct validity evidence--a prerequisite for seeking meaning in psychological and educational research and ensuring fair testing procedures in high-stakes settings. However, the quality of such evidence is partly dependent on the validity of the resulting statistical conclusions. Type I or…
Descriptors: Computation, Tests, Error of Measurement, Comparative Analysis
Watts, Logan L.; Steele, Logan M.; Song, Hairong – Creativity Research Journal, 2017
Prior studies have demonstrated inconsistent findings with regard to the relationship between need for cognition and creativity. In our study, measurement issues were explored as a potential source of these inconsistencies. Structural equation modeling techniques were used to examine the factor structure underlying the 18-item need for cognition…
Descriptors: Creativity, Creative Thinking, Problem Solving, Structural Equation Models
Dawson, Christi L.; Hennessey, Maeghan N.; Higley, Kelli – International Journal of Higher Education, 2016
This study investigated the perceptions of epistemic justification of students in two disparate domains of study to determine if any similarities and differences in their methods of justification exist. Two samples of students, or a total of 513 undergraduates from educational psychology (n = 193) and biology (n = 320) courses, completed a…
Descriptors: Student Attitudes, Biology, Teaching Methods, Educational Psychology
Asún, Rodrigo A.; Rdz-Navarro, Karina; Alvarado, Jesús M. – Sociological Methods & Research, 2016
This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…
Descriptors: Likert Scales, Item Analysis, Factor Analysis, Comparative Analysis
Dülmer, Hermann – Sociological Methods & Research, 2016
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs…
Descriptors: Factor Analysis, Reliability, Validity, Benchmarking
Ulrich, Deborah L.; Brewer, Tracy; Steele-Johnson, Deborah; Juvina, Ion; Peyton, Elizabeth; Hammond, Crystal – Journal on Excellence in College Teaching, 2017
We examined the effects of team-based learning (TBL) versus traditional and enhanced lecture-based instruction over time (Study 1; N = 532 nursing students) and the psychometric properties of the Team Based Learning Student Assessment Instrument (TBL-SAI), a popular measure of reactions to TBL (Study 2; N = 323 nursing and medical students).…
Descriptors: Teaching Methods, Teamwork, Lecture Method, Conventional Instruction
Can, Seda; van de Schoot, Rens; Hox, Joop – Educational and Psychological Measurement, 2015
Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influence of the size of the intraclass correlation…
Descriptors: Factor Analysis, Comparative Analysis, Maximum Likelihood Statistics, Bayesian Statistics
Dinh Tho, Nguyen – Education & Training, 2017
Purpose: Realizing the role of signals in the evaluation of teaching quality as well as the advantage of a set-theoretic approach to education research, the purpose of this paper is to employ a signaling framework and fuzzy-set qualitative comparative analysis (fsQCA) to configure the roles of signal quality, including signal consistency, signal…
Descriptors: Foreign Countries, Masters Programs, Business Administration Education, Teacher Effectiveness
Valdez, Guadalupe Flores – ProQuest LLC, 2017
Research on attachment in adult relationships has included minimal studies to encompass a Hispanic population. Mexican Americans have specific characteristics grounded in historical, demographic, and family contexts which are different from other groups. Therefore, cross-cultural validation of instruments to assess family relationships increases…
Descriptors: Undergraduate Students, Attachment Behavior, Interpersonal Relationship, Factor Analysis
Zhang, Linlin; Eggum-Wilkens, Natalie D. – Journal of Early Adolescence, 2018
The purpose of this study was to examine the differentiation and correlates of shyness and unsociability during early adolescence in urban and rural China. Participants were 93 urban and 229 rural Chinese sixth- to eighth-graders. Students rated their shyness, unsociability, fear of negative evaluation, self-efficacy for peer interactions, and…
Descriptors: Correlation, Shyness, Rural Areas, Cultural Context
Vuyk, M. Alexandra; Krieshok, Thomas S.; Kerr, Barbara A. – Gifted Child Quarterly, 2016
Openness to experience is a personality factor in the five-factor model of personality, and it is composed of six facets. Facets of openness appear conceptually analogous to overexcitabilities (OEs), which are displays of inner energy guiding individuals toward advanced potential according to the theory of positive disintegration. This study…
Descriptors: Adolescents, Adults, Structural Equation Models, Gifted
Wetzel, Eunike; Hell, Benedikt – Journal of Psychoeducational Assessment, 2014
Vocational interest inventories are commonly analyzed using a unidimensional approach, that is, each subscale is analyzed separately. However, the theories on which these inventories are based often postulate specific relationships between the interest traits. This article presents a multidimensional approach to the analysis of vocational interest…
Descriptors: Item Response Theory, Models, Vocational Interests, Interest Inventories