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Dhindsa, Harkirat S. – International Journal of Science Education, 2005
The aims of this research were to validate the Cultural Learning Environment Questionnaire in the Brunei context and to evaluate culturally sensitive factors (gender equity, collaboration, deference, competition, teacher authority, modelling and congruence) of upper secondary students' learning environment. The subjects of this study were 831…
Descriptors: Foreign Countries, Sex Fairness, Factor Analysis, Coeducation
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van Abswoude, Alexandra A. H.; van der Ark, L. Andries; Sijtsma, Klaas – Applied Psychological Measurement, 2004
In this article, an overview of nonparametric item response theory methods for determining the dimensionality of item response data is provided. Four methods were considered: MSP, DETECT, HCA/CCPROX, and DIMTEST. First, the methods were compared theoretically. Second, a simulation study was done to compare the effectiveness of MSP, DETECT, and…
Descriptors: Comparative Analysis, Computer Software, Simulation, Nonparametric Statistics
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Giancarlo, Carol Ann; Blohm, Stephen W.; Urdan, Tim – Educational and Psychological Measurement, 2004
There is agreement that fostering K-12 students' critical thinking is a worthwhile endeavor. However, many educators would agree that there are students in their classrooms who are able to think well but often choose not to utilize those skills. Little is known about the critical thinking dispositions of elementary and secondary students. This…
Descriptors: Student Motivation, Elementary Secondary Education, Integrity, Factor Analysis
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Hogarty, Kristine Y.; Hines, Constance V.; Kromrey, Jeffrey D.; Ferron, John M.; Mumford, Karen R. – Educational and Psychological Measurement, 2005
The purpose of this study was to investigate the relationship between sample size and the quality of factor solutions obtained from exploratory factor analysis. This research expanded upon the range of conditions previously examined, employing a broad selection of criteria for the evaluation of the quality of sample factor solutions. Results…
Descriptors: Sample Size, Factor Analysis, Factor Structure, Evaluation Methods
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Enders, Craig K.; Peugh, James L. – Structural Equation Modeling, 2004
Two methods, direct maximum likelihood (ML) and the expectation maximization (EM) algorithm, can be used to obtain ML parameter estimates for structural equation models with missing data (MD). Although the 2 methods frequently produce identical parameter estimates, it may be easier to satisfy missing at random assumptions using EM. However, no…
Descriptors: Inferences, Structural Equation Models, Factor Analysis, Error of Measurement
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Spall, Katie; Stanisstreet, Martin; Dickson, Dominic; Boyes, Edward – International Journal of Science Education, 2004
Studies exploring school students' views about science have not always distinguished between different branches of science. Here, the views of 1395 secondary school students aged 11-16 about physics and, as a science comparator, biology were determined using a closed-form questionnaire. Over the period of secondary schooling a decreasing…
Descriptors: Secondary School Students, Physics, Biology, Factor Analysis
Carlson, Elaine; Lee, Hyunshik; Westat, Karen Schroll – Teacher Education and Special Education, 2004
Using a nationally representative sample of 1,475 special education teachers, researchers used factor analysis to test five teacher quality factors with empirical and theoretical grounding in general education research: experience, credentials, self-efficacy, professional activities, and selected classroom practices. These factors were combined to…
Descriptors: Credentials, Teacher Effectiveness, Self Efficacy, Special Education
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Elias, C.; Vermeer, A.; 't Hart, H. – Journal of Intellectual Disability Research, 2005
Little research has been conducted on the perceived competence of children with mild intellectual disabilities (MID). One of the reasons for the marked absence of research appears to be the lack of reliable and clearly valid measurement instruments for this particular group of children. In the present study, it was examined whether a pictorial…
Descriptors: Measures (Individuals), Psychometrics, Construct Validity, Foreign Countries
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Schreck, Kimberly A.; Mulick, James A.; Rojahn, Johannes – Journal of Child and Family Studies, 2003
We describe the development, preliminary psychometric properties, and cross-validation of the Behavioral Evaluation of Disorders of Sleep (BEDS: Schreck 1997/1998). Parental reports of problem sleep behavior in elementary school aged children 5 years to 12 years were collected for two samples. With the first sample, an exploratory factor analysis…
Descriptors: Behavior Problems, Sleep, Factor Analysis, Psychometrics
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Metzler, Jonathan N.; Conroy, David E. – Measurement in Physical Education and Exercise Science, 2004
Fear of success is a dispositional form of anxiety that can have harmful effects on athletes' motivation and performance; however, empirical research on fear of success in sport has been limited. Zuckerman and Allison's (1976) Fear of Success Scale (FOSS) has been the most popular fear of success measure used in sport, yet it is laden with…
Descriptors: Validity, Measures (Individuals), Psychometrics, Fear of Success
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Horne, Sharon; Zimmer-Gembeck, Melanie J. – Psychology of Women Quarterly, 2006
Three studies were conducted to develop and validate a theoretically derived multidimensional inventory of females' sexual self-conceptions ("sexual subjectivity"). Study 1 revealed five factors on the Female Sexual Subjectivity Inventory (FSSI): sexual body-esteem, three factors of conceptions and expectations of sexual desire and pleasure (self,…
Descriptors: Females, Sexuality, Late Adolescents, Young Adults
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Balazs, Katalin; Hidegkuti, Istvan; De Boeck, Paul – Applied Psychological Measurement, 2006
In the context of item response theory, it is not uncommon that person-by-item data are correlated beyond the correlation that is captured by the model--in other words, there is extra binomial variation. Heterogeneity of the parameters can explain this variation. There is a need for proper statistical methods to indicate possible extra…
Descriptors: Models, Regression (Statistics), Item Response Theory, Correlation
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Storch, Eric A.; Murphy, Tanya K.; Geffken, Gary R.; Soto, Ohel; Sajid, Muhammad; Allen, Pam; Roberti, Jonathan W.; Killiany, Erin M.; Goodman, Wayne K. – Child Psychiatry and Human Development, 2004
This study evaluated the psychometric properties of the Tourette's Disorder Scale-Parent Rated (TODS-PR), a 15-item parent-rated instrument that assesses a range of common symptoms seen in childhood Tourette's Disorder (TD) patients including tics, obsessions, compulsions, inattention, hyperactivity, aggression, and emotional disturbances.…
Descriptors: Psychometrics, Neurological Impairments, Children, Adolescents
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Gillen, Mark C.; Balkin, Richard S. – Journal for Specialists in Group Work, 2006
Adventure counseling has been thought of as a highly specialized application of group counseling skills in a wilderness environment. In fact, adventure counseling is based on a developmental theory of group, can be useful for a variety of clients, and can be thoughtfully integrated into clinical and hospital settings. This article describes the…
Descriptors: Group Counseling, Counseling Techniques, Factor Analysis, Case Studies
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Woody, Erik Z.; Barnier, Amanda J.; McConkey, Kevin M. – Psychological Assessment, 2005
Although hypnotizability can be conceptualized as involving component subskills, standard measures do not differentiate them from a more general unitary trait, partly because the measures include limited sets of dichotomous items. To overcome this, the authors applied full-information factor analysis, a sophisticated analytic approach for…
Descriptors: Hypnosis, Factor Analysis, Item Response Theory, Psychomotor Skills
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