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Peer reviewedNoels, Kimberly A.; Pelletier, Luc G.; Clement, Richard; Vallerand, Robert J. – Language Learning, 2000
Assesses the validity and reliability of a scale of intrinsic and extrinsic motivation for second language learning, and examines the relations between these types of motivation and the four orientations discussed by Clement and Kruidenier (1983). Results are discussed with reference to how intrinsic and extrinsic motivation are relevant to…
Descriptors: Factor Analysis, Learning Motivation, Questionnaires, Rating Scales
Peer reviewedSchmidt, James A.; Wagner, Christopher C.; Kiesler, Donald J. – Journal of Counseling Psychology, 1999
Describes extensive analysis of revised eight-scale circumplex version of the Impact Message Inventory (IMI-C) across a combined sample from eight studies. Overall, IMI-C demonstrates adequate psychometric and structural properties; principal-components and multidimensional scaling analyses suggesting that the scales generally conform…
Descriptors: Behavior, Factor Analysis, Interpersonal Relationship, Measurement Equipment
Peer reviewedCamilli, Gregory; Wang, Ming-mei; Fesq, Jacqueline – Journal of Educational Measurement, 1995
Assessed multidimensionality for six forms of the Law School Admission Test (LSAT) through factor analysis. Determined that the LSAT appears to measure two different reasoning abilities: inductive and deductive. Describes the techniques used to assess dimensionality. (SLD)
Descriptors: College Entrance Examinations, Deduction, Equated Scores, Factor Analysis
Peer reviewedBenishek, Lois A.; Lopez, Frederick G. – Journal of Career Assessment, 2001
Hardiness of academic self-concept was measured in 481 high school students; factor analyses were conducted. Validity and reliability of the Academic Hardiness Scale were supported, and a three-factor model emerged, depicting hardiness as a process of commitment, control, and challenge that served to buffer stressful situations. (Contains 60…
Descriptors: Coping, Factor Analysis, High School Students, Learning Motivation
Loken, Eric – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The choice of constraints used to identify a simple factor model can affect the shape of the likelihood. Specifically, under some nonzero constraints, standard errors may be inestimable even at the maximum likelihood estimate (MLE). For a broader class of nonzero constraints, symmetric normal approximations to the modal region may not be…
Descriptors: Inferences, Computation, Structural Equation Models, Factor Analysis
Peer reviewedHayes, Steven C.; Strosahl, Kirk; Wilson, Kelly G.; Bissett, Richard T.; Pistorello, Jacqueline; Toarmino, Dosheen; Polusny, Melissa A.; Dykstra, Thane A.; Batten, Sonja V.; Bergan, John; Stewart, Sherry H.; Zvolensky, Michael J.; Eifert, Georg H.; Bond, Frank W.; Forsyth, John P.; Karekla, Maria; Mccurry, Susan M. – Psychological Record, 2004
The present study describes the development of a short, general measure of experiential avoidance, based on a specific theoretical approach to this process. A theoretically driven iterative exploratory analysis using structural equation modeling on data from a clinical sample yielded a single factor comprising 9 items. A fully confirmatory factor…
Descriptors: Psychopathology, Structural Equation Models, Quality of Life, Factor Analysis
Peer reviewedPosner, S. F.; Learman, L. A.; Gates, E. A.; Washington, A. E.; Kuppermann, M. – Social Indicators Research, 2004
Background: Prenatal screening for chromosomal abnormalities is routinely offered to all pregnant women who present for care by their 20th gestational week. Not all women, however, choose to undergo one of these tests, and choice of which test(s) to undergo also vary. The reasons for variation in screening test behavior have not been fully…
Descriptors: Psychometrics, Females, Ethnic Groups, Screening Tests
Peer reviewedBoxer, Paul; Tisak, Marie S.; Goldstein, Sara E. – Journal of Youth and Adolescence, 2004
Research in aggressive behavior development has distinguished between proactive (i.e., intended to achieve an instrumental goal) and reactive (i.e., emitted as an emotional response to provocation) subtypes of aggression. A similar distinction has not been made with regard to prosocial behavior. In this study, subtypes of both aggressive and…
Descriptors: Behavior Rating Scales, Behavior Development, Adolescents, Emotional Response
Peer reviewedColder, Craig R.; O'Connor, Roisin M. – Journal of Abnormal Child Psychology, 2004
The Behavioral Approach System (BAS) and Behavioral Inhibition System (BIS) are widely studied components of Gray's sensitivity to reinforcement model. There is growing interest in integrating the BAS and BIS into models of risk for psychopathology, however, few measures assess BAS and BIS functioning in children. We adapted a questionnaire…
Descriptors: Rewards, Questionnaires, Psychopathology, Behavior Problems
Lubke, Gitta H.; Muthen, Bengt – Psychological Methods, 2005
Sources of population heterogeneity may or may not be observed. If the sources of heterogeneity are observed (e.g., gender), the sample can be split into groups and the data analyzed with methods for multiple groups. If the sources of population heterogeneity are unobserved, the data can be analyzed with latent class models. Factor mixture models…
Descriptors: Youth, Evaluation Methods, Factor Analysis, Data Analysis
Marsh, Herbert W.; Parada, Roberto H.; Ayotte, Violane – Psychological Assessment, 2004
Relations between self-concept and mental health are best understood from a multidimensional perspective. For responses by 903 adolescents (mean age = 12.6) to a new French translation of the Self Description Questionnaire II (SDQII), confirmatory factor analysis demonstrated a well-defined multidimensional factor structure of reliable, highly…
Descriptors: Measures (Individuals), Factor Structure, Factor Analysis, Adolescents
Lawrence, Claire; Green, Karen – British Journal of Educational Psychology, 2005
Background: Violence and aggression in the classroom are often cited as a major concern within the teaching community. Teachers' perceptions of the appropriateness of intervention behaviours during aggressive incidents, however, are less often examined (Meyer, Astor, & Behre, 2002), nor how they compare to the perceptions of training teachers…
Descriptors: Intervention, Factor Analysis, Aggression, Violence
Xie, Jun; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Covariance structure models are applied to gene expression data using a factor model, a path model, and their combination. The factor model is based on a few factors that capture most of the expression information. A common factor of a group of genes may represent a common protein factor for the transcript of the co-expressed genes, and hence, it…
Descriptors: Path Analysis, Genetics, Structural Equation Models, Factor Analysis
Bernaards, Coen A.; Jennrich, Robert I. – Educational and Psychological Measurement, 2005
Almost all modern rotation of factor loadings is based on optimizing a criterion, for example, the quartimax criterion for quartimax rotation. Recent advancements in numerical methods have led to general orthogonal and oblique algorithms for optimizing essentially any rotation criterion. All that is required for a specific application is a…
Descriptors: Computer Software, Factor Analysis, Evaluation Methods, Statistical Analysis
Phillips, Glenn A.; Shadish, William R.; Murray, David M.; Kubik, Martha; Lytle, Leslie A.; Birnbaum, Amanda S. – Multivariate Behavioral Research, 2006
The Center for Epidemiological Studies Depression scale (CES-D) was developed to assess the population prevalence of depression. The CES-D was developed and normed on an adult population. Since the CES-D's publication, various studies have both used and psychometrically assessed the scale for older adolescent populations. However, we found no…
Descriptors: Factor Analysis, Early Adolescents, Epidemiology, Depression (Psychology)

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