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Greer, Tawanda M. – Journal of Black Psychology, 2007
The purpose of this investigation was to examine the latent factor structure of the Coping With Problems Experienced (COPE) inventory, and to compare this structure to an imposed, culturally relevant latent structure with a sample of African Americans. The alternate, latent structure was derived from an Africentric framework, as well as from…
Descriptors: Factor Analysis, Coping, Factor Structure, African Americans
Nauta, Margaret M. – Journal of Career Assessment, 2007
A six-item measure of global satisfaction with one's major, the Academic Major Satisfaction Scale (AMSS), was developed and validated. Exploratory and confirmatory factor analyses suggested a unidimensional structure. The measure had high internal consistency and distinguished between students who remained in their majors versus those who changed…
Descriptors: Majors (Students), Career Choice, Self Efficacy, Social Desirability
Patrick, Kate; Bedford, Anthony; Romagnano, Stephanie; Bedford, Michelle; Barber, James – Journal of Institutional Research, 2008
Like other universities, RMIT recognises the significance of graduates' ratings of their experience and has had a long-term commitment to improving student learning. As at other universities, RMIT's standard subject-level survey (the Course Experience Survey [CES]) incorporates items from the national Course Experience Questionnaire, with the aim…
Descriptors: Factor Analysis, Student Surveys, Intellectual Disciplines, Educational Improvement
Burns, G. Leonard; de Moura, Marcela Alves; Walsh, James A.; Desmul, Chris; Silpakit, Chatchawan; Sommers-Flanagan, John – Psychological Assessment, 2008
Confirmatory factor analysis was used to test the invariance of an oppositional defiant disorder toward adults, attention-deficit/hyperactivity disorder-hyperactivity/impulsivity, attention-deficit/hyperactivity disorder-inattention, and an Academic Competence factor model between mothers' and fathers' ratings within Brazilian (n = 894), Thai (n =…
Descriptors: Behavior Problems, Mothers, Hyperactivity, Construct Validity
Vlachopoulos, Symeon P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This study examined the extent of measurement invariance of the Basic Psychological Needs in Exercise Scale responses (BPNES; Vlachopoulos & Michailidou, 2006) across male (n = 716) and female (n = 1,147) exercise participants. BPNES responses from exercise participants attending private fitness centers (n = 1,012) and community exercise programs…
Descriptors: Psychological Patterns, Factor Structure, Measures (Individuals), Measurement
Verona, Edelyn; Sadeh, Naomi; Case, Steve M.; Reed, Americus, II; Bhattacharjee, Amit – Assessment, 2008
Two studies investigated the psychometric properties of a self-report measure of commonly recognized forms of aggression (FOA) that could be used to efficiently gather aggression data in large samples. EFA and CFA in Study 1 suggested that a five-factor model (Physical, Property, Verbal, Relational, and Passive-Rational) best represented the data…
Descriptors: Aggression, Measures (Individuals), Gender Differences, High School Students
Nelson, Judith A.; Bustamante, Rebecca M.; Wilson, Eric D.; Onwuegbuzie, Anthony J. – Professional School Counseling, 2008
This study was designed to assess the (score) construct-related validity of an instrument called the School-Wide Cultural Competence Observation Checklist (SCCOC). The instrument was developed to use as a tool in conducting culture audits as a means of assessing school-wide cultural competence, or how well a school's programs, policies, and…
Descriptors: Check Lists, Observation, Reliability, Factor Structure
Conrad, Agatha M.; Munro, Don – Journal of Educational Computing Research, 2008
Two studies are reported which describe the development and evaluation of a new instrument, the Computer Technology Use Scale (CTUS), comprising three domains: computer self-efficacy, attitudes to technology, and technology related anxiety. Study 1 describes the development of the instrument and explores its factor structure. Study 2 used…
Descriptors: Self Efficacy, Negative Attitudes, Factor Structure, Computers
Development and Validation of a Writing Dispositions Scale for Elementary and Middle School Students
Piazza, Carolyn L.; Siebert, Carl F. – Journal of Educational Research, 2008
The authors report the development and validation of the Writing Dispositions Scale (WDS), a self-report instrument for measuring affective stances toward writing. The authors collected survey data from 854 elementary and middle school students and randomly split the data to facilitate both an exploratory factor analysis (EFA) and a confirmatory…
Descriptors: Middle School Students, Content Validity, Factor Structure, Measures (Individuals)
Barkoukis, Vassilis; Tsorbatzoudis, Haralambos; Grouios, George; Sideridis, Georgios – Assessment in Education: Principles, Policy & Practice, 2008
Self-determination theory provides an integrated conception of school- and academic motivation. The theory proposes a continuum comprising three types of motivation: intrinsic motivation (IM), extrinsic motivation (EM), and amotivation (AM), characterised by seven dimensions (IM = to know, to accomplish and to experience stimulation, EM = external…
Descriptors: Incentives, Predictive Validity, Factor Structure, Student Motivation
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

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