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Direct linkLee, 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
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
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
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
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
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
Jennrich, Robert I.; Bentler, Peter M. – Psychometrika, 2012
Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…
Descriptors: Factor Structure, Factor Analysis, Models, Comparative Analysis
Wagler, Amy; Wagler, Ron – Teacher Education and Practice, 2013
This article reevaluates the latent structure of the Teacher Efficacy Scale using confirmatory factor analyses (CFAs) on a sample of preservice teachers from a public university in the U.S. Southwest. The fit of a proposed two-factor CFA model with an error correlation structure consistent with internal/ external locus of control is compared to…
Descriptors: Teacher Effectiveness, Self Efficacy, Self Concept Measures, Factor Analysis
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
King, Ronnel B.; Watkins, David A. – Journal of Psychoeducational Assessment, 2012
The aim of the present study was to test the cross-cultural validity of the five-factor structure of social goals that Dowson and McInerney proposed. Using both between-network and within-network approaches to construct validation, 1,147 Filipino high school students participated in the study. Confirmatory factor analysis indicated that the…
Descriptors: Factor Structure, Objectives, Social Attitudes, Filipino Americans
Gomez, Laura E.; Verdugo, Miguel Angel; Arias, Benito; Arias, Victor – Social Indicators Research, 2011
There is considerable debate in the area of individual quality of life research regarding the factor structure of the QOL construct that is focused on the number and composition of QOL factors and domains, and its hierarchical nature. The main goal of this study involve testing by means of confirmatory factor analyses five models that have been…
Descriptors: Quality of Life, Comparative Analysis, Models, Factor Analysis
Toplak, Maggie E.; Sorge, Geoff B.; Flora, David B.; Chen, Wai; Banaschewski, Tobias; Buitelaar, Jan; Ebstein, Richard; Eisenberg, Jacques; Franke, Barbara; Gill, Michael; Miranda, Ana; Oades, Robert D.; Roeyers, Herbert; Rothenberger, Aribert; Sergeant, Joseph; Sonuga-Barke, Edmund; Steinhausen, Hans-Christoph; Thompson, Margaret; Tannock, Rosemary; Asherson, Philip; Faraone, Stephen V. – Journal of Child Psychology and Psychiatry, 2012
Objective: To examine the factor structure of attention-deficit/hyperactivity disorder (ADHD) in a clinical sample of 1,373 children and adolescents with ADHD and their 1,772 unselected siblings recruited from different countries across a large age range. Hierarchical and correlated factor analytic models were compared separately in the ADHD and…
Descriptors: Attention Deficit Hyperactivity Disorder, Siblings, Factor Structure, Adolescents
Major, Jason T.; Johnson, Wendy; Deary, Ian J. – Intelligence, 2012
Three prominent theories of intelligence, the Cattell-Horn-Carroll (CHC), extended fluid-crystallized (Gf-Gc) and verbal-perceptual-image rotation (VPR) theories, provide differing descriptions of the structure of intelligence (McGrew, 2009; Horn & Blankson, 2005; Johnson & Bouchard, 2005b). To compare these theories, models representing them were…
Descriptors: Intelligence, Achievement Tests, Factor Structure, Models
Marsh, Herbert W.; Abduljabbar, Adel Salah; Parker, Philip D.; Morin, Alexandre J. S.; Abdelfattah, Faisal; Nagengast, Benjamin; Möller, Jens; Abu-Hilal, Maher M. – American Educational Research Journal, 2015
The internal/external frame of reference (I/E) model and dimensional comparison theory posit paradoxical relations between achievement (ACH) and self-concept (SC) in mathematics (M) and verbal (V) domains; ACH in each domain positively affects SC in the matching domain (e.g., MACH to MSC) but negatively in the nonmatching domain (e.g., MACH to…
Descriptors: Self Concept, Cultural Differences, Academic Achievement, Comparative Analysis
Widaman, Keith F.; Grimm, Kevin J. – Measurement: Interdisciplinary Research and Perspectives, 2009
Nesselroade, Gerstorf, Hardy, and Ram developed a new and interesting way to enforce invariance at the second-order level in P-technique models, while allowing first-order structure to stray from invariance. We discuss our concerns with this approach under the headings of falsifiability, the nature of manifest variables included in models, and…
Descriptors: Factor Structure, Models, Factor Analysis, Comparative Analysis
