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Watts, Logan L.; Steele, Logan M.; Song, Hairong – Creativity Research Journal, 2017
Prior studies have demonstrated inconsistent findings with regard to the relationship between need for cognition and creativity. In our study, measurement issues were explored as a potential source of these inconsistencies. Structural equation modeling techniques were used to examine the factor structure underlying the 18-item need for cognition…
Descriptors: Creativity, Creative Thinking, Problem Solving, Structural Equation Models
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McFadyen-Ketchum, Lisa Schlueter; Hurwich-Reiss, Eliana; Stiles, Allison A.; Mendoza, Marina M.; Badanes, Lisa S.; Dmitrieva, Julia; Watamura, Sarah Enos – Early Education and Development, 2016
Research Findings: Although there is a well-established relationship between economic stress and children's self-regulation, few studies have examined this relationship in children of Hispanic immigrants (COHIs), a rapidly growing population. In a sample of preschool children (N = 165), we examined whether economic stress predicted teacher…
Descriptors: Hispanic Americans, Immigrants, Preschool Children, Stress Variables
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Koziol, Natalie A. – Applied Measurement in Education, 2016
Testlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement. Responses to items within a testlet tend to be correlated even after controlling for…
Descriptors: Classification, Accuracy, Comparative Analysis, Models
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Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
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Lamote, Carl; Speybroeck, Sara; Van Den Noortgate, Wim; Van Damme, Jan – Oxford Review of Education, 2013
In this study, we examine the development of student engagement in relation to dropout. We focus on different growth trajectories of engagement between groups of students and on whether these trajectories lead to differences in the survival of the student. The development of behavioural and emotional engagement of 4063 graduates and 541 (11.7%)…
Descriptors: Foreign Countries, Dropouts, Learner Engagement, Correlation
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Ahlgren Reddy, Alison; Harper, Marc – PRIMUS, 2013
Data from the ALEKS-based placement program at the University of Illinois is presented visually in several ways. The placement exam (an ALEKS assessment) contains precise item-specific information and the data show many interesting properties of the student populations of the placement courses, which include Precalculus, Calculus, and Business…
Descriptors: Mathematics Education, College Mathematics, Student Placement, Scores
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Nichols, Timothy; Ailts, Jacob; Chang, Kuo-Liang – Honors in Practice, 2016
This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…
Descriptors: Higher Education, College Students, School Holding Power, Honors Curriculum
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Sheldrake, Richard – International Journal of Science Education, 2016
Understanding students' intentions to study science at upper-secondary school, at university, and to follow science careers continues as a central concern for international science education. Prior research has highlighted that students' science confidence has been associated with their intentions to study science further, although…
Descriptors: Science Instruction, Science Education, Secondary School Students, Secondary School Science
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Smithson, Michael; Verkuilen, Jay – Psychological Methods, 2006
Uncorrectable skew and heteroscedasticity are among the "lemons" of psychological data, yet many important variables naturally exhibit these properties. For scales with a lower and upper bound, a suitable candidate for models is the beta distribution, which is very flexible and models skew quite well. The authors present…
Descriptors: Maximum Likelihood Statistics, Predictor Variables, Mathematical Models, Comparative Analysis
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Weng, Li-Jen; And Others – Educational Research Quarterly, 1988
Impacts of the parents' divorce and the student's academic potential and drug use on non-completion of high school were examined using 3 methods of structural equation modeling with latent variables. Data were collected from 706 adolescents (in grades 10 through 12). Maximum likelihood, asymptotically distribution-free, and categorical variable…
Descriptors: Academic Ability, Academic Failure, Adolescents, Comparative Analysis
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Tai, Robert H.; Liu, Christine Qi; Fan, Xiato – Journal of the National Association for Alternative Certification, 2006
In light of shortages of mathematics and science teachers, alternative certification was introduced in the mid-1980s. This study examined the effect of alternative certification among math and science teachers who moved to a different school or left the profession. This was accomplished using the national "SASS" and "TFS"…
Descriptors: Alternative Teacher Certification, Mathematics Teachers, Science Teachers, Teacher Shortage