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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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Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
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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
Schneider, Nancy Rhoda – ProQuest LLC, 2015
Purpose. Clinical communication influences health outcomes, so medical schools are charged to prepare future physicians with the skills they need to interact effectively with patients. Communication leaders at The University of New Mexico School of Medicine (UNMSOM) developed The Essential Elements of Communication-Global Rating Scale (EEC-GRS) to…
Descriptors: Evidence, Rating Scales, Correlation, Validity
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Green, Samuel B.; Levy, Roy; Thompson, Marilyn S.; Lu, Min; Lo, Wen-Juo – Educational and Psychological Measurement, 2012
A number of psychometricians have argued for the use of parallel analysis to determine the number of factors. However, parallel analysis must be viewed at best as a heuristic approach rather than a mathematically rigorous one. The authors suggest a revision to parallel analysis that could improve its accuracy. A Monte Carlo study is conducted to…
Descriptors: Monte Carlo Methods, Factor Structure, Data Analysis, Psychometrics
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Ingersoll, Brooke; Hopwood, Christopher J.; Wainer, Allison; Donnellan, M. Brent – Journal of Autism and Developmental Disorders, 2011
Three self-report measures of the broader autism phenotype (BAP) were evaluated in terms of their internal consistency, distribution of scores, factor structure, and criterion-related validity in a non-clinical sample. All measures showed a continuous distribution. The SRS-A and BAPQ showed expected sex differences and were superior to the AQ in…
Descriptors: Autism, Validity, Factor Structure, Comparative Analysis
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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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Ranta, Klaus; Junttila, Niina; Laakkonen, Eero; Uhmavaara, Anni; La Greca, Annette M.; Niemi, Paivi M. – Child Psychiatry and Human Development, 2012
The aim of this study was to investigate symptoms of social anxiety and the psychometric properties of the "Social Anxiety Scale for Adolescents" (SAS-A) among Finnish adolescents, 13-16 years of age. Study 1 (n = 867) examined the distribution of SAS-A scores according to gender and age, and the internal consistency and factor structure…
Descriptors: Evidence, Anxiety Disorders, Test Validity, Factor Structure
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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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Davis, J. Mark; Cheung, Shu Fai; Takahashi, Tomone; Shinoda, Haruo; Lindstrom, William A. – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
Prior research with children generally supports the two-dimensional structure of Attention-Deficit/Hyperactivity Disorder (ADHD; inattentive and hyperactive/impulsive factors) of the DSM-IV-TR as well as invariance of the two-factor structure across nations and cultures. Research with adults supports either a two-factor or three-factor structure…
Descriptors: Attention Deficit Hyperactivity Disorder, Factor Structure, Rating Scales, Factor Analysis
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Jones-Farmer, L. Allison – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…
Descriptors: Factor Structure, Factor Analysis, Evaluation Research, Goodness of Fit
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Kassam-Adams, Nancy; Marsac, Meghan L.; Cirilli, Carla – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: To examine the factor structure of posttraumatic stress disorder (PTSD) symptoms in children and adolescents who have experienced an acute single-incident trauma, associations between PTSD symptom clusters and functional impairment, and the specificity of PTSD symptoms in relation to depression and general distress. Method: Examined…
Descriptors: Models, Posttraumatic Stress Disorder, Factor Structure, Factor Analysis
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Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
Rowan, Barbara E. – ProQuest LLC, 2010
Computerized versions of paper-and-pencil tests (PPT) have emerged over the past few decades, and some practitioners are using both formats concurrently. But computerizing a PPT may not yield equivalent scores across the two administration modes. Comparability studies are required to determine if the scores are equivalent before treating them as…
Descriptors: Computer Assisted Testing, Factor Structure, Program Effectiveness, Scores
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Backhaus, Kristin; Liff, Joshua P. – Educational Psychology, 2007
The present study investigates the factor structure of the Cognitive Style Index (CSI), comparing the unitary, bipolar continuum of intuition-analysis, the theory upon which the CSI is predicated, with the two-factor theory of cognitive style. We conducted both confirmatory and exploratory factor analyses on data from a sample of 222 American…
Descriptors: Factor Structure, Cognitive Style, Indexes, Comparative Analysis
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