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Nataly Beribisky; Gregory R. Hancock – Educational and Psychological Measurement, 2024
Fit indices are descriptive measures that can help evaluate how well a confirmatory factor analysis (CFA) model fits a researcher's data. In multigroup models, before between-group comparisons are made, fit indices may be used to evaluate measurement invariance by assessing the degree to which multiple groups' data are consistent with increasingly…
Descriptors: Factor Analysis, Research Methodology, Comparative Testing, Measurement
A. R. Georgeson – Structural Equation Modeling: A Multidisciplinary Journal, 2025
There is increasing interest in using factor scores in structural equation models and there have been numerous methodological papers on the topic. Nevertheless, sum scores, which are computed from adding up item responses, continue to be ubiquitous in practice. It is therefore important to compare simulation results involving factor scores to…
Descriptors: Structural Equation Models, Scores, Factor Analysis, Statistical Bias
Morrison, Keith – Educational Research and Evaluation, 2013
This paper reviews the literature on comparing online and paper course evaluations in higher education and provides a case study of a very large randomised trial on the topic. It presents a mixed but generally optimistic picture of online course evaluations with respect to response rates, what they indicate, and how to increase them. The paper…
Descriptors: Literature Reviews, Course Evaluation, Case Studies, Higher Education
Aunio, Pirjo; Korhonen, Johan; Bashash, Laaya; Khoshbakht, Fariba – International Journal of Early Years Education, 2014
This research investigates similarities and differences in young children's early numeracy skills related to age, nationality and gender. The participants were five- to seven-year-old children from Finland and Iran. Early numeracy was investigated by using tasks measuring number-related relational skills (e.g. comparison, one-to-one…
Descriptors: Foreign Countries, Numeracy, Children, Investigations
Young, John W.; Holtzman, Steven; Steinberg, Jonathan – Educational Testing Service, 2011
In this research investigation of score comparability for language minority students (English language learners [ELLs] and former English language learners), we examined 3 indicators of score comparability (reliability, internal test structure, and differential item functioning) for 4th and 8th grade students who took the NCLB-mandated content…
Descriptors: Language Minorities, Second Language Learning, Grade 8, Minority Group Students
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Donnellan, M. Brent – Educational and Psychological Measurement, 2008
The properties of the achievement goal inventories developed by Grant and Dweck (2003) and Elliot and McGregor (2001) were evaluated in two studies with a total of 780 participants. A four-factor specification for the Grant and Dweck inventory did not closely replicate results published in their original report. In contrast, the structure of the…
Descriptors: Academic Achievement, Psychometrics, Program Validation, Achievement Rating
Kim, Do-Hong; Huynh, Huynh – Educational and Psychological Measurement, 2008
The current study compared student performance between paper-and-pencil testing (PPT) and computer-based testing (CBT) on a large-scale statewide end-of-course English examination. Analyses were conducted at both the item and test levels. The overall results suggest that scores obtained from PPT and CBT were comparable. However, at the content…
Descriptors: Reading Comprehension, Computer Assisted Testing, Factor Analysis, Comparative Testing
Walt, Nancy; Atwood, Kristin; Mann, Alex – Journal of Technology, Learning, and Assessment, 2008
The purpose of this study was to determine whether or not survey medium (electronic versus paper format) has a significant effect on the results achieved. To compare survey media, responses from elementary students to British Columbia's Satisfaction Survey were analyzed. Although this study was not experimental in design, the data set served as a…
Descriptors: Student Attitudes, Factor Analysis, Foreign Countries, Elementary School Students
Hansen, Jo-Ida C.; Bubany, Shawn T. – Measurement and Evaluation in Counseling and Development, 2008
Vocational psychology has generated a number of concepts and assessment instruments considered to reflect ability self-concept (i.e., one's view of one's own abilities) relevant to career development. These concepts and measures often are categorized as either self efficacy beliefs or self-estimated (i.e., self-rated, self-evaluated) abilities.…
Descriptors: Self Efficacy, Factor Analysis, Gender Differences, Career Development
Phillips, Katherine A.; Barrow, Lloyd H. – School Science and Mathematics, 2006
This research study was designed to provide an introductory examination of how high school students' out-of-school science experiences, particularly those relevant to the physical sciences, relate to their learning of Newtonian mechanics. A factor analysis of the modified Science Experiences Survey (SES, Mason & Kahle, 1988) was performed,…
Descriptors: Mechanics (Physics), Pretests Posttests, High School Students, Statistical Analysis