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Isemonger, Ian; Sheppard, Chris – Educational and Psychological Measurement, 2007
This study examined the factor structure of a Korean version of the Perceptual Learning Styles Preference Questionnaire. The instrument was developed to measure the learning-style preferences of students of English as a second language and English as a foreign language and has gained wide currency as a classroom diagnostic tool and survey…
Descriptors: Measures (Individuals), Reliability, Factor Analysis, Factor Structure
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Borkenau, Peter – Measurement: Interdisciplinary Research and Perspectives, 2007
In, "Idiographic Filters for Psychological Constructs," Nesselroade, Gerstorf, Hardy, and Ram study patterns of variation within individuals. In this context they make an important suggestion: to test for invariant relations among latent variables, but to allow the relations between these latent variables and their indicators to vary between…
Descriptors: Psychological Studies, Psychologists, Factor Analysis, Psychology
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Rodebaugh, Thomas L.; Woods, Carol M.; Heimberg, Richard G. – Behavior Therapy, 2007
Although well-used and empirically supported, the Social Interaction Anxiety Scale (SIAS) has a questionable factor structure and includes reverse-scored items with questionable utility. Here, using samples of undergraduates and a sample of clients with social anxiety disorder, we extend previous work that opened the question of whether the…
Descriptors: Factor Structure, Interpersonal Relationship, Measures (Individuals), Interaction
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Glanville, Jennifer L.; Wildhagen, Tina – Educational and Psychological Measurement, 2007
The purposes of this study were to (a) assess the measurement of school engagement in prior research that used the National Educational Longitudinal Study of 1988 (NELS:88), (b) systematically develop an improved measurement model for school engagement, and (c) examine the measurement invariance of this model across racial and ethnic groups.…
Descriptors: Race, Factor Structure, Exhibits, Factor Analysis
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Whiteside, Stephen P.; McCarthy, Denis M.; Miller, Joshua D. – Assessment, 2007
Although previous studies have questioned the factor structure of the Social Skills Rating System (SSRS), it continues to be one of the most prominent measures used to assess child social skills. Previous examinations of the SSRS have been conducted on samples that differ demographically from the standardization sample. The present study presents…
Descriptors: Test Construction, Psychometrics, Factor Analysis, Factor Structure
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Olatunji, Bunmi O.; Williams, Nathan L.; Tolin, David F.; Abramowitz, Jonathan S.; Sawchuk, Craig N.; Lohr, Jeffrey M.; Elwood, Lisa S. – Psychological Assessment, 2007
In the 4 studies presented (N = 1,939), a converging set of analyses was conducted to evaluate the item adequacy, factor structure, reliability, and validity of the Disgust Scale (DS; J. Haidt, C. McCauley, & P. Rozin, 1994). The results suggest that 7 items (i.e., Items 2, 7, 8, 21, 23, 24, and 25) should be considered for removal from the DS.…
Descriptors: Measures (Individuals), Patients, Item Analysis, Factor Structure
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Phan, Huy P.; Deo, Bisun – British Journal of Educational Psychology, 2007
Background: Research evidence seems to suggest that the social and cultural environments influence students' approaches to their study. This social and cultural contention has led to the rethinking and reconceptualization of theories (e.g. Biggs, 1987; Marton & Saljo, 1976) pertaining to student approaches to learning (SAL) in academic…
Descriptors: Foreign Countries, Measures (Individuals), Cultural Context, Factor Analysis
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Ye, Shengquan – Social Indicators Research, 2007
The study aims at validating the Temporal Satisfaction With Life Scale (TSWLS; Pavot et al., 1998, "The Temporal Satisfaction With Life Scale", Journal of Personality Assessment 70, pp. 340-354) in a non-western context. Data from 646 Chinese university students (330 females and 316 males) supported the three-factor structure of the…
Descriptors: Goodness of Fit, Life Satisfaction, Factor Structure, Measures (Individuals)
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Pajares, Frank – Measurement and Evaluation in Counseling and Development, 2007
The psychometric properties of a scale assessing the writing self-efficacy of 1,258 students from Grades 4 to 11 were analyzed with exploratory factor analysis. Two factors emerged, 1 designating basic grammar skills and 1 designating more advanced composition skills. The Writing Self-Efficacy Scale (F. Pajares & G. Valiante, 1999) functioned…
Descriptors: Measures (Individuals), Writing (Composition), Writing Skills, Psychometrics
Zwick, Rebecca – 1991
Research in the behavioral and health sciences frequently involves the application of one-factor analysis of variance models. The goal may be to compare several independent groups of subjects on a quantitative dependent variable or to compare measurements made on a single group of subjects on different occasions or under different conditions. In…
Descriptors: Analysis of Variance, Comparative Analysis, Factor Structure, Power (Statistics)
Stapleton, Connie D. – 1997
Exploratory and confirmatory factor analytic techniques are compared, and how to conduct a confirmatory factor analysis is reviewed. A sampling of "fit" statistics and suggestions for methods to improve models for testing are also presented. Exploratory factor analysis is used to explore data to determine the number of the nature of…
Descriptors: Correlation, Educational Testing, Factor Analysis, Factor Structure
Rennie, Kimberly M. – 1997
Rotation is used in almost all exploratory factor analysis (EFA) studies. There are numerous rotation strategies that can be employed in these various applications. This paper reviews the various rotation choices in EFA studies, including confirmatory rotation, and presents criteria useful in selecting rotation methods in various analytic…
Descriptors: Correlation, Factor Analysis, Factor Structure, Oblique Rotation
Evans, Victoria P. – 1999
The central objective of factor analysis is to explain the greatest amount of variance in a data set with the smallest number of factors. Higher-order analysis is an invaluable tool that offers the benefit of parsimony provided by first-order analysis with the opportunity to make data-based generalizations beyond the first-order. Higher-order…
Descriptors: Computer Software, Factor Analysis, Factor Structure, Social Science Research
Nasser, Fadia; Wisenbaker, Joseph; Benson, Jeri – 1998
Logistic regression was used for modeling the observation-to-indicator ratio needed for the standard error scree procedure (SEscree) to correctly identify the number of factors existing in generated sample correlation matrices. The created correlation matrices were manipulated along the number of factors (4,6), sample size (250, 500), magnitude of…
Descriptors: Correlation, Error of Measurement, Factor Analysis, Factor Structure
Kennedy, Helen L. – 1999
Assumptions underlying the multifaceted, hierarchical structure of self-efficacy previously hypothesized by R. Shavelson, J. Hubner, and G. Stanton (1976) for the construct of self-concept were tested. The self-efficacy interpretation of the Science Self-Efficacy Scale (H. Kennedy, 1996), a relatively new measure, was studied with 331 (151 female…
Descriptors: College Students, Factor Structure, Higher Education, Mathematics
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