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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
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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
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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
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Lee, HwaYoung; Beretvas, S. Natasha – Educational and Psychological Measurement, 2014
Conventional differential item functioning (DIF) detection methods (e.g., the Mantel-Haenszel test) can be used to detect DIF only across observed groups, such as gender or ethnicity. However, research has found that DIF is not typically fully explained by an observed variable. True sources of DIF may include unobserved, latent variables, such as…
Descriptors: Item Analysis, Factor Structure, Bayesian Statistics, Goodness of Fit
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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
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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
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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
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Bussing, Regina; Fernandez, Melanie; Harwood, Michelle; Hou, Wei; Garvan, Cynthia Wilson; Eyberg, Sheila M.; Swanson, James M. – Assessment, 2008
To examine Swanson, Nolan, and Pelham-IV (SNAP-IV) psychometric properties, parent (N = 1,613) and teacher (N = 1,205) data were collected from a random elementary school student sample in a longitudinal attention deficit hyperactivity disorder (ADHD) detection study. SNAP-IV reliability was acceptable. Factor structure indicated two ADHD factors…
Descriptors: African American Students, White Students, Poverty, Factor Structure
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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Legree, Peter J. – Intelligence, 1995
To explore theoretical issues inspired by the Likert response format, 2 social insight scales were developed and administered to 391 Air Force recruits. Results demonstrate the applicability of the probabilistic response format to measure differences in nontraditional knowledge domains and the existence of a factor that may be interpreted as…
Descriptors: Aptitude Tests, Behavior Patterns, Drinking, Factor Structure