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Kazelskis, Richard – Educational and Psychological Measurement, 1998
The factor structure of three commonly used measures of mathematics anxiety was examined using a sample of 323 undergraduates in an algebra class. Six oblique factors were identified, but results did not support the existence of a single common dimension of mathematics anxiety as represented by the six factors. (SLD)
Descriptors: Algebra, Factor Analysis, Factor Structure, Higher Education

Zand, Debra H.; Gouwens, Donald L.; Evenson, Richard C. – Psychology in the Schools, 2001
Investigates the factor structure and reliability of the Saint Louis Symptom Checklist (SLSCL) with an adolescent sample. An exploratory principal components factor analysis followed by a varimax rotation of 209 male and female adolescents yielded eight conceptually relevant factors. Discusses directions for future research. (Contains 11…
Descriptors: Adolescents, Factor Analysis, Factor Structure, High Schools

Toporek, Rebecca J.; Pope-Davis, Donald B. – Journal of Career Assessment, 2001
Confirmatory factor analysis of My Vocational Situation scores for 201 African American and 553 white students supported the fit of a one-factor model. However, a test of multigroup invariance indicated that vocational identity factor structures were not equivalent across groups. (Contains 32 references.)
Descriptors: Black Students, Career Counseling, College Students, Cross Cultural Studies

Zoski, Keith W.; Jurs, Stephen – Educational and Psychological Measurement, 1996
A linear regression approach to determining the number of factors in factor analytic solutions is presented. It provides objectivity while producing the same results as the visual scree test. Experience with the method to date indicates that the results are consistent with visual solutions. (SLD)
Descriptors: Error of Measurement, Factor Analysis, Factor Structure, Regression (Statistics)

Hong, Sehee; Lee, Min-Kyu – Educational and Psychological Measurement, 2001
Examined the factor structure of the revised Personal Style Inventory (C. Robins, J. Ladd, and A. Luten, 1990) through hierarchical factor analysis using data from 574 college students in Korea. Found a hierarchical model specifying perfectionism as associated with both hierarchical factors (Autonomy and Sociotropy) to be the best fitting. (SLD)
Descriptors: College Students, Factor Structure, Foreign Countries, Goodness of Fit

Ingersoll-Dayton, Berit; Saengtienchai, Chanpen; Kespichayawattana, Jiraporn; Aungsuroch, Yupin – Gerontologist, 2004
Purpose: Psychological well-being, an important indicator of successful aging, may be conceptualized quite differently across cultures. Using a mixed-methods approach, we developed a measure of psychological well-being based on the indigenous expertise of Thai elders. Design and Methods: Data were collected from older people in Thailand in four…
Descriptors: Foreign Countries, Psychometrics, Methods, Thai
O'Rourke, Norm – International Journal of Testing, 2005
The Center for Epidemiologic Studies?Depression Scale (CES-D) is among the most widely used depression screening measures. Existing research suggests a higher order factor structure of responses among older adults (factors labeled as Depressive Affect, Absence of Well-being, Somatic Symptoms, and Interpersonal Affect each loading on a 2nd-order…
Descriptors: Dementia, Measures (Individuals), Females, Caregivers
Flora, David B.; Curran, Patrick J. – Psychological Methods, 2004
Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent…
Descriptors: Computer Simulation, Computation, Least Squares Statistics, Factor Analysis
van der Sluis, Sophie; Dolan, Conor V.; Stoel, Reinoud D. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article is concerned with the seemingly simple problem of testing whether latent factors are perfectly correlated (i.e., statistically indistinct). In recent literature, researchers have used different approaches, which are not always correct or complete. We discuss the parameter constraints required to obtain such perfectly correlated latent…
Descriptors: Testing, Factor Structure, Structural Equation Models, Correlation
Teten, Andra L.; Hall, Gordon C. Nagayama; Pacifici, Caesar – Assessment, 2005
The psychometric properties of the Acceptance of Coercive Sexual Behavior (ACSB), a multimedia measure of adolescent dating attitudes, were examined. The ACSB is an interactive instrument that uses video vignettes to depict adolescent dating situations. Analyses of the measure's factor structure, internal consistency, test-retest reliability, and…
Descriptors: Validity, Sexuality, Factor Structure, Psychometrics
Lowe, Patricia A.; Reynolds, Cecil R. – Educational and Psychological Measurement, 2004
Responses of 871 adults to the Adult Manifest Anxiety Scale-Adult version (AMAS-A) were factor analyzed using the method of principal axis factoring with promax rotation. Factor analysis yielded a four-factor solution: three anxiety factors (Worry/Oversensitivity, Stress, and Physiological Anxiety) and a Lie factor. The AMAS-A's three-factor…
Descriptors: Psychometrics, Validity, Factor Analysis, Anxiety
Boudrias, Jean-Sebastien; Gaudreau, Patrick; Laschinger, Heather K. Spence – Educational and Psychological Measurement, 2004
Psychological empowerment (PE) is presumed to be a second-order latent construct composed of four dimensions: meaning, competence, self-determination, and impact. Based on the results of two validation studies, it has been hypothesized that loadings of the four dimensions on PE could vary across gender groups. A multiple-group second-order…
Descriptors: Measures (Individuals), Psychology, Nurses, Factor Analysis
Meade, Adam W.; Lautenschlager, Gary J. – Structural Equation Modeling, 2004
In recent years, confirmatory factor analytic (CFA) techniques have become the most common method of testing for measurement equivalence/invariance (ME/I). However, no study has simulated data with known differences to determine how well these CFA techniques perform. This study utilizes data with a variety of known simulated differences in factor…
Descriptors: Factor Structure, Sample Size, Monte Carlo Methods, Evaluation Methods
Conway, James M.; Lievens, Filip; Scullen, Steven E.; Lance, Charles E. – Structural Equation Modeling, 2004
This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Factor Structure, Simulation
Ondersma, Steven J.; Chaffin, Mark J.; Mullins, Sharon M.; LeBreton, James M. – Journal of Clinical Child and Adolescent Psychology, 2005
A brief version of the Child Abuse Potential Inventory (CAP) was developed using a development sample of N = 1,470, and cross-validated using an additional sample of N = 713. Items were selected to maximize (a) CAP variance accounted for; (b) prediction of future child protective services reports; (c) item invariance across gender, age, and…
Descriptors: Child Welfare, Child Abuse, Ethnicity, Measures (Individuals)