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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Mattern, Krista; Burrus, Jeremy; Camara, Wayne; O'Connor, Ryan; Hansen, Mary Ann; Gambrell, James; Casillas, Alex; Bobek, Becky – ACT, Inc., 2014
A hallmark of the US education system is the opportunity afforded to students to pursue education and career paths of their own choosing. This flexibility and autonomy, however, has drawbacks. Students must navigate a series of complex and often disconnected environments, as well as numerous decision points, before they attain a fulfilling career.…
Descriptors: Definitions, Career Readiness, College Readiness, Holistic Approach
Subedi, Bidya Raj; Swan, Bonnie; Hynes, Michael C. – Online Submission, 2010
This paper investigates the effect of teacher quality, represented by teacher level characteristics, on mathematics gain scores employing multilevel (or three-level hierarchical linear model, HLM, based) unconditional and conditional value-added model (VAM). We found the significant effects of teacher's mathematics content certification, teacher…
Descriptors: Teacher Effectiveness, Teaching Experience, Measurement Techniques, Achievement Gains
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Farley, John U.; And Others – Multivariate Behavioral Research, 1974
Evaluation of attributes of a subcompact car were combined in linear regressions predicting liking and purchase intention. Of two forms--raw scales and scales weighted by the importance attached to each attribute by each subject--unweighted evaluations proved more consistent and important predictors than those weighted by their saliency. (Author)
Descriptors: Attitudes, Decision Making, Design Preferences, Design Requirements
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Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
Stacks, Don W.; And Others – 1983
A study provided the initial test of a multidimensional instrument based on the idea that syntactic language choice might predict writing apprehension. The test measured six factors: (1) blank page paralysis, (2) general affect toward writing, (3) positive/negative business affect, (4) alternative modes, (5) attitude toward writing competence, and…
Descriptors: Business Communication, College Students, Evaluation Methods, Higher Education
Obiekwe, Jerry C. – 1999
This study compared college students' responses on their evaluations of the effectiveness of full- and part-time college faculty. A group of 1,101 students completed evaluation instruments for all courses taught by full-time faculty, and 2,067 students completed evaluations for all courses taught by part-time faculty in spring 1998. In fall 1998,…
Descriptors: College Faculty, College Students, Evaluation Methods, Full Time Faculty