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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Sirganci, Gozde; Uyumaz, Gizem; Yandi, Alperen – International Journal of Assessment Tools in Education, 2020
It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Kogar, Hakan – Journal of Education and Learning, 2018
The aim of the present research study was to compare the findings from the nonparametric MSA, DIMTEST and DETECT and the parametric dimensionality determining methods in various simulation conditions by utilizing exploratory and confirmatory methods. For this purpose, various simulation conditions were established based on number of dimensions,…
Descriptors: Evaluation Methods, Nonparametric Statistics, Statistical Analysis, Factor Analysis
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Önen, Emine – Universal Journal of Educational Research, 2019
This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…
Descriptors: Factor Analysis, Bayesian Statistics, Comparative Analysis, Statistical Analysis
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Vezeau, Susan Lynn; Powell, Robert B.; Stern, Marc J.; Moore, D. DeWayne; Wright, Brett A. – Environmental Education Research, 2017
This investigation examines the development of two scales that measure elaboration and behaviors associated with stewardship in children. The scales were developed using confirmatory factor analysis to investigate their construct validity, reliability, and psychometric properties. Results suggest that a second-order factor model structure provides…
Descriptors: Factor Analysis, Environmental Education, Behavior Change, Pilot Projects
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Johnson, Keith; Willoughby, Shannon D. – Physical Review Physics Education Research, 2018
The reliability and validity of inventories should be verified in multiple ways. Although the epistemological beliefs about the physical science survey (EBAPS) has been deemed to be reliable and valid by the authors, the axes or factor structure proposed by the authors has not been independently checked. Using data from a study sample we discussed…
Descriptors: Epistemology, Beliefs, Introductory Courses, Astronomy
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Faruk, Albay; Ilkay, Yazarer – Universal Journal of Educational Research, 2018
The aim of the study is to cultivate the educational process of physical education and sport in the universities in Turkey by discovering the features of the physical development, physical preparation and the specific technical-tactical preparation of the students, engaging with basketball and the elaboration of a system for control and evaluation…
Descriptors: Foreign Countries, College Students, Physical Development, Physical Education
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Kelleher, Leila K.; Beach, Tyson A. C.; Frost, David M.; Johnson, Andrew M.; Dickey, James P. – Measurement in Physical Education and Exercise Science, 2018
The scoring scheme for the functional movement screen implicitly assumes that the factor structure is consistent, stable, and congruent across different populations. To determine if this is the case, we compared principal components analyses of three samples: a healthy, general population (n = 100), a group of varsity athletes (n = 101), and a…
Descriptors: Factor Structure, Test Reliability, Screening Tests, Motion
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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
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Boyce, Jared; Bowers, Alex J. – International Journal of Leadership in Education, 2018
This study investigated the differences between how individual teachers perceive leadership for learning and how teachers collectively perceive leadership for learning, using a large nationally generalizable data-set of 7070 schools from the National Center for Education Statistics 2011-2012 Schools and Staffing Survey. This study used…
Descriptors: Teacher Leadership, Elementary Secondary Education, National Surveys, Factor Analysis
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Goldfarb, Yael – Journal of Career Development, 2018
Motives behind occupational choice of graduates in two tertiary training programs for Israeli ultraorthodox (Haredi) women, practical engineering (PE) and teaching (T), are explored. Five hundred and twelve participants (278 PEs and 234 Ts) answered a questionnaire referring to 13 potential work motives. The main findings are as follows: (a)…
Descriptors: Foreign Countries, Career Choice, Jews, Religious Cultural Groups
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Lombardi, Allison; Freeman, Jennifer; Rifenbark, Graham – Exceptional Children, 2018
Nonacademic skills related to college and career readiness (CCR) have become more prevalent in the literature as proposed conceptual models and frameworks, yet little empirical research exists in their support. We employed latent variable modeling to empirically test a previously proposed six-domain framework of CCR for adolescents with and…
Descriptors: College Readiness, Career Readiness, Adolescents, Disabilities
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
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Öztürk, Ergün – International Education Studies, 2018
Many educational institutions use a number of technologies in classrooms to promote the effectiveness of learning activities. In recent years, tablet PCs have become the primary of these technologies. Tablet PCs in particular play an important role in increasing the effectiveness and efficiency of the process of learning and teaching. In order to…
Descriptors: Foreign Countries, Elementary School Teachers, Language Teachers, Computer Attitudes
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Late, Elina – Information Research: An International Electronic Journal, 2018
Introduction: This paper reports empirical results of the survey focusing on reading practices in state research institutes. State research institutes are, along with universities, important actors in national innovation systems in producing especially applied research. Majority of earlier studies on scholarly communication have focused on…
Descriptors: Foreign Countries, Research Projects, State Programs, Reading Habits
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