NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 65 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Tianxi; Qian, Xueqin; Rifenbark, Graham G.; Shogren, Karrie A.; Hagiwara, Mayumi – Intellectual and Developmental Disabilities, 2022
This study explores the psychometric properties of "Self-Determination Inventory: Student Report" (SDI:SR) in students with intellectual and developmental disabilities (IDD) and without disabilities in China. The paper-and-pencil version of SDI:SR Chinese Translation (SDI:SR Chinese) was used to explore self-determination across students…
Descriptors: Foreign Countries, Psychometrics, Self Determination, Intellectual Disability
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Wilkins, Jesse L. M. – Journal of Experimental Education, 2016
Quantitative literacy (QLT) represents an underlying higher-order construct that accounts for a person's willingness to engage in quantitative situations in everyday life. The purpose of this study is to retest the construct validity of a model of quantitative literacy (Wilkins, 2010). In this model, QLT represents a second-order factor that…
Descriptors: Undergraduate Students, Numeracy, Construct Validity, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Sipes, Megan; Matson, Johnny L. – Journal of Autism and Developmental Disorders, 2014
With the publication of the "Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition", autism spectrum disorders are defined by two symptom clusters (social communication and restricted/repetitive behaviors) instead of the current three clusters. The current study examined the structure of the Baby and Infant Screen for…
Descriptors: Toddlers, Factor Structure, Pervasive Developmental Disorders, Autism
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
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
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5