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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
Van Dam, Nicholas T.; Hobkirk, Andrea L.; Danoff-Burg, Sharon; Earleywine, Mitch – Assessment, 2012
Mindfulness, a construct that entails moment-to-moment effort to be aware of present experiences and positive attitudinal features, has become integrated into the sciences. The Five Facet Mindfulness Questionnaire (FFMQ), one popular measure of mindfulness, exhibits different responses to positively and negatively worded items in nonmeditating…
Descriptors: Factor Structure, Measures (Individuals), Factor Analysis, Questionnaires
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Wang, Wen-Chung; Shih, Ching-Lin; Yang, Chih-Chien – Educational and Psychological Measurement, 2009
This study implements a scale purification procedure onto the standard MIMIC method for differential item functioning (DIF) detection and assesses its performance through a series of simulations. It is found that the MIMIC method with scale purification (denoted as M-SP) outperforms the standard MIMIC method (denoted as M-ST) in controlling…
Descriptors: Test Items, Measures (Individuals), Test Bias, Evaluation Research
Forero, Carlos G.; Maydeu-Olivares, Alberto – Psychological Methods, 2009
The performance of parameter estimates and standard errors in estimating F. Samejima's graded response model was examined across 324 conditions. Full information maximum likelihood (FIML) was compared with a 3-stage estimator for categorical item factor analysis (CIFA) when the unweighted least squares method was used in CIFA's third stage. CIFA…
Descriptors: Factor Analysis, Least Squares Statistics, Computation, Item Response Theory
Bartholomew, David J.; Deary, Ian J.; Lawn, Martin – Psychological Review, 2009
Modern factor analysis is the outgrowth of Spearman's original "2-factor" model of intelligence, according to which a mental test score is regarded as the sum of a general factor and a specific factor. As early as 1914, Godfrey Thomson realized that the data did not require this interpretation and he demonstrated this by proposing what became…
Descriptors: Psychological Testing, Factor Analysis, Intelligence Tests, Cognitive Ability
Ding, Lin; Beichner, Robert – Physical Review Special Topics - Physics Education Research, 2009
This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics…
Descriptors: Multiple Choice Tests, Factor Analysis, Data Interpretation, Item Response Theory
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Nietfeld, John L.; Finney, Sara J.; Schraw, Gregg; McCrudden, Matthew T. – Contemporary Educational Psychology, 2007
This study tested four theoretical models in terms of their fit with demands placed on our cognitive system by traditional tests of cognitive ability. We did so by administering seven tests of cognitive ability known to require varying types of processing demands to a large group of college undergraduates (N=193). We compared the models using…
Descriptors: Models, Cognitive Ability, Cognitive Processes, Cognitive Measurement
Cunningham, Wm. Scott; Duffee, David E.; Huang, Yufan; Steinke, Camela M.; Naccarato, Toni – Research on Social Work Practice, 2009
Objective: This study describes the development of an engagement scale for use with youth in residential treatment centers. Engagement includes attitude about treatment, bond with providers, and participation in treatment activities. Method: Interview data were collected at the midpoint in residence of 130 youth in two centers. Items were selected…
Descriptors: Residential Programs, Content Validity, Factor Analysis, Logical Thinking
Wiggins, R. D.; Netuveli, G.; Hyde, M.; Higgs, P.; Blane, D. – Social Indicators Research, 2008
This paper describes the conceptual development of a self-enumerated scale of quality of life (CASP-19) and presents an empirical evaluation of its structure using a combination of exploratory and confirmatory factor analytic approaches across three different survey settings for older people living in England and Wales in the new millennium. All…
Descriptors: Quality of Life, Older Adults, Likert Scales, Measures (Individuals)
Grammatikopoulos, Vasilios; Tsigilis, Nikolaos; Koustelios, Athanasios – Evaluation and Research in Education, 2007
The aim of this study was to examine the underlying structure of the Evaluation Scale of Educational Programme Implementation (ESEPI). The ESEPI consists of six factors that play an important role in educational programme implementation, namely: training, educational material, administration, facilities, relationships and educational procedure.…
Descriptors: Physical Education, Physical Education Teachers, Factor Analysis, Factor Structure
Tarr, James E.; Ross, Daniel J.; McNaught, Melissa D.; Chavez, Oscar; Grouws, Douglas A.; Reys, Robert E.; Sears, Ruthmae; Taylan, R. Didem – Online Submission, 2010
The Comparing Options in Secondary Mathematics: Investigating Curriculum (COSMIC) project is a longitudinal study of student learning from two types of mathematics curricula: integrated and subject-specific. Previous large-scale research studies such as the National Assessment of Educational Progress (NAEP) indicate that numerous variables are…
Descriptors: Mathematics Education, Teacher Characteristics, Mathematics Achievement, Program Effectiveness
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