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Showing 1 to 15 of 18 results Save | Export
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Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael – Applied Developmental Science, 2017
Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…
Descriptors: Factor Analysis, Structural Equation Models, Correlation, Sample Size
Clark, D. Angus; Bowles, Ryan P. – Grantee Submission, 2018
In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Monte Carlo Methods
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Huang, Jiajing; Liang, Xinya; Yang, Yanyun – AERA Online Paper Repository, 2017
In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Sample Size
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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
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Wan, Zhi Hong; Lee, John Chi Kin – International Journal of Science Education, 2017
This study explored two under-researched areas on students' attitudes towards science, that is, the structural models representing these attitudes and the role played by school bands in moderating the gender differences in such attitudes. The participants were 360 ninth graders in Hong Kong from 3 school bands. The structural equation modelling…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Scientific Attitudes
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Parpala, Anna; Lindblom-Ylanne, Sari; Komulainen, Erkki; Entwistle, Noel – Learning Environments Research, 2013
The study examined the use of the modified Experiences of Teaching and Learning Questionnaire (ETLQ) in the Finnish context by focusing on its factor structures and comparing them with those for British data. A total of 2,509 Finnish and 2,710 British students completed the questionnaire. The comparison of the factor structures were conducted…
Descriptors: Questionnaires, Foreign Countries, Structural Equation Models, Factor Structure
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Sivo, Stephen; Karl, Shannon; Fox, Jesse; Taub, Gordon; Robinson, Edward – School Psychology Forum, 2017
The primary objective of this cross-cultural investigation is to compare patterns in student responses to an empirically scrutinized character education measure administered to students in four school districts in Florida with students in a school in Kenya. In this way, the generalizability of findings for scale scores could be compared across…
Descriptors: Cross Cultural Studies, Values Education, Foreign Countries, School Districts
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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
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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
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McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
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Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
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Sivakumar, Paramasivan Sethuraman; Parasar, Bibudha; Das, Raghu Nath; Anantharaman, Mathevanpillai – Journal of Agricultural Education and Extension, 2014
Purpose: Information technology (IT) has tremendous potential for fostering grassroots development and the Indian government has created various capital-intensive computer networks to promote agricultural development. However, research studies have shown that information technology investments are not always translated into productivity gains due…
Descriptors: Foreign Countries, Information Technology, Computer Networks, Agriculture
Niileksela, Christopher R. – ProQuest LLC, 2012
Recent advances in the understanding of the relations between cognitive abilities and academic skills have helped shape a better understanding of which cognitive processes may underlie different types of SLD (Flanagan, Fiorello, & Ortiz, 2010). Similarities and differences in cognitive-achievement relations for children with and without SLDs…
Descriptors: Children, Learning Disabilities, Cognitive Ability, Academic Ability
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Byrne, Barbara M.; van de Vijver, Fons J. R. – International Journal of Testing, 2010
A critical assumption in cross-cultural comparative research is that the instrument measures the same construct(s) in exactly the same way across all groups (i.e., the instrument is measurement and structurally equivalent). Structural equation modeling (SEM) procedures are commonly used in testing these assumptions of multigroup equivalence.…
Descriptors: Measures (Individuals), Cross Cultural Studies, Measurement, Comparative Analysis
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De Naeghel, Jessie; Van Keer, Hilde; Vansteenkiste, Maarten; Rosseel, Yves – Journal of Educational Psychology, 2012
Research indicates the need to further examine the dimensions of reading motivation. A clear theoretical basis is necessary for conceptualizing reading motivation and considering contextual differences therein. The present study develops and validates the SRQ-Reading Motivation, a questionnaire measuring recreational and academic reading…
Descriptors: Validity, Measurement, Reading Comprehension, Construct Validity
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