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Levy, Roy; Xia, Yan; Green, Samuel B. – Educational and Psychological Measurement, 2021
A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and…
Descriptors: Bayesian Statistics, Statistical Analysis, Factor Structure, Probability
Sekercioglu, Güçlü – International Online Journal of Education and Teaching, 2018
An empirical evidence for independent samples of a population regarding measurement invariance implies that factor structure of a measurement tool is equal across these samples; in other words, it measures the intended psychological trait within the same structure. In this case, the evidence of construct validity would be strengthened within the…
Descriptors: Factor Analysis, Error of Measurement, Factor Structure, Construct Validity
Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
Higginbotham, David L. – ProQuest LLC, 2013
This study leveraged the complementary nature of confirmatory factor (CFA), item response theory (IRT), and latent class (LCA) analyses to strengthen the rigor and sophistication of evaluation of two new measures of the Air Force Academy's "leader of character" definition--the Character Mosaic Virtues (CMV) and the Leadership Mosaic…
Descriptors: Moral Development, Personality Development, Military Training, Leadership Training
Cai, Li – Psychometrika, 2010
A Metropolis-Hastings Robbins-Monro (MH-RM) algorithm for high-dimensional maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The…
Descriptors: Quality of Life, Factor Structure, Factor Analysis, Computation
Rivera-Medina, Carmen L.; Caraballo, Jose Noel; Rodriguez-Cordero, Eli R.; Bernal, Guillermo; Davila-Marrero, Elixmahir – Journal of Consulting and Clinical Psychology, 2010
Objective: The authors of this study aimed to evaluate 2-factor structures for the Center for Epidemiologic Studies Depression Scale (CES-D) reported in the literature to determine which one proves to be a better fit with the data on low-income Puerto Ricans living on the island. Method: The sample consisted of 3,504 civilian noninstitutionalized…
Descriptors: Low Income, Factor Structure, Factor Analysis, Goodness of Fit
DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Eltz, Michael; Evans, Allison Schettini; Celio, Mark; Dyl, Jennifer; Hunt, Jeffrey; Armstrong, Laura; Spirito, Anthony – Child Psychiatry and Human Development, 2007
This study examined the factor structure, reliability, and validity of the Suicide Probability Scale (SPS) in a sample of 226 (80 male, 146 female) adolescent psychiatric inpatients. Confirmatory factor analyses provided only some support for the original subscales. Exploratory factor analyses revealed some overlap with the original scales, but…
Descriptors: Suicide, Factor Structure, Patients, Measures (Individuals)

McDonald, R. P. – Psychometrika, 1974
It is shown that common factors are not subject to indeterminancy to the extent that has been claimed (Guttman, 1955), because the measure of indeterminancy that has been adopted is ill-founded. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Models
Abela, John R. Z.; Aydin, Cristina M.; Auerbach, Randy P. – Journal of Abnormal Child Psychology, 2007
We propose that researchers should utilize ratio scores when examining the response styles theory rather than examine each of the response styles separately. Higher ratio scores indicate a higher probability of engaging in ruminative, as opposed to distracting and problem solving, behaviors. In Phase One, we examined the factor structure and…
Descriptors: Grade 6, Psychometrics, Probability, Problem Solving

Mulaik, Stanley A. – Psychometrika, 1976
Discusses Guttman's index of indeterminacy in light of alternative solutions which are equally likely to be correct and alternative solutions for the factor which are not equally likely to be chosen. Offers index which measures a different aspect of the same indeterminacy problem. (ROF)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices

Dickey, Wayne C.; Blumberg, Stephen J. – Journal of the American Academy of Child and Adolescent Psychiatry, 2004
Objective: The Strengths and Difficulties Questionnaire is a 25-item instrument developed to assess emotional and behavioral problems. The current study attempted to replicate previous European structural analyses and to describe the latent dimensions that underlie responses to the parent-reported version of the Strengths and Difficulties…
Descriptors: Psychiatry, Questionnaires, Probability, Psychopathology
Chan, Y. C.; Lam, Gladys L. T.; Chun, P. K. R.; So, Moon Tong Ernest – Child Abuse & Neglect: The International Journal, 2006
Objectives: To evaluate whether or not the original six-factor structure of the Child Abuse Potential (CAP) Inventory suggested by [Milner, J. S. (1986). "The Child Abuse Potential Inventory: Manual" (2nd ed.). DeKalb, IL: Psytec. Inc.] can be confirmed with data from a group of Chinese mothers in Hong Kong. Method: Eight hundred and…
Descriptors: Measures (Individuals), Factor Structure, Child Abuse, Mothers
Joreskog, Karl G.; Goldberger, Arthur S. – 1971
Aitkin's generalized least squares (GLS) principle, with the inverse of the observed variance-covariance matrix as a weight matrix, is applied to estimate the factor analysis model in the exploratory (unrestricted) case. It is shown that the GLS estimates are scale free and asymptotically efficient. The estimates are computed by a rapidly…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit
Bart, William M.; Airasian, Peter W. – 1976
The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
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