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Showing 1 to 15 of 18 results Save | Export
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Whaley, Arthur L. – Research in Higher Education, 2017
The literature on the teaching and learning of statistics tend not to address issues of cultural diversity. Twenty-nine students enrolled in a statistics course at a historically Black college/university (HBCU) were the focus of this pilot study. Using structural equation modeling (SEM), the study tested models of the effects of writing…
Descriptors: African American Students, Black Colleges, Culturally Relevant Education, Statistics
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Hwang, Wu-Yuin; Kongcharoen, Chaknarin; Ghinea, Gheorghita – EURASIA Journal of Mathematics, Science & Technology Education, 2017
According to aptitude theory, the measures of aptitude include not only cognitive factors but also affective factors (i.e., emotions) and conative factors (i.e., motivation) that can influence students' learning achievement (LA). Therefore, this study employed structural equation modelling from experimental data of 96 college students to…
Descriptors: Academic Aptitude, Affective Behavior, Student Motivation, Emotional Response
Rozek, Christopher S.; Svoboda, Ryan C.; Harackiewicz, Judith M.; Hulleman, Christopher S.; Hyde, Janet S. – Grantee Submission, 2017
During high school, developing competence in science, technology, engineering, and mathematics (STEM) is critically important as preparation to pursue STEM careers, yet students in the United States lag behind other countries, ranking 35th in mathematics and 27th in science achievement internationally. Given the importance of STEM careers as…
Descriptors: STEM Education, Career Readiness, College Readiness, High School Students
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González, Antonio; Paoloni, Paola-Verónica – Chemistry Education Research and Practice, 2015
Research in chemistry education has highlighted a number of variables that predict learning and performance, such as teacher-student interactions, academic motivation and metacognition. Most of this chemistry research has examined these variables by identifying dyadic relationships through bivariate correlations. The main purpose of this study was…
Descriptors: Science Instruction, Chemistry, Metacognition, Undergraduate Students
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Zysberg, Leehu; Schenk, Tal – Creativity Research Journal, 2013
Although theoretically proposed in the literature, the direct associations between political attitudes, religion, and creativity have been scarcely explored. A convenience sample of 123 adults working in Israel filled out questionnaires assessing political-social attitudes, religiosity, and background factors (e.g., age, gender, education, and…
Descriptors: Creativity, Religious Factors, Political Attitudes, Adults
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Bailey, MarLynn; Taasoobshirazi, Gita; Carr, Martha – Journal of Educational Research, 2014
Previous studies have shown that several key variables influence student achievement in geometry, but no research has been conducted to determine how these variables interact. A model of achievement in geometry was tested on a sample of 102 high school students. Structural equation modeling was used to test hypothesized relationships among…
Descriptors: Mathematics Achievement, Geometry, High School Students, Secondary School Mathematics
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Afari, Ernest; Ward, Graeme; Khine, Myint Swe – International Education Studies, 2012
We investigated the relationships between global self-esteem, academic self-efficacy and academic performance among a sample of 255 college students in the United Arab Emirates. The widely used Rosenberg's Self-Esteem Scale (RSES; Rosenberg, 1965) and an academic self-efficacy scale, modified from (Jinks and Morgan, 1999) were used to assess…
Descriptors: Foreign Countries, College Students, Self Esteem, Self Efficacy
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Grimm, Kevin J.; An, Yang; McArdle, John J.; Zonderman, Alan B.; Resnick, Susan M. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Latent difference score models (e.g., McArdle & Hamagami, 2001) are extended to include effects from prior changes to subsequent changes. This extension of latent difference scores allows for testing hypotheses where recent changes, as opposed to recent levels, are a primary predictor of subsequent changes. These models are applied to…
Descriptors: Memory, Older Adults, Brain, Structural Equation Models
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Reeve, Johnmarshall; Lee, Woogul – Journal of Educational Psychology, 2014
Changes in motivation anticipate changes in engagement, but the present study tested the reciprocal relation that changes in students' classroom engagement lead to corresponding longitudinal changes in their classroom motivation. Achievement scores and multiple measures of students' course-specific motivation (psychological need satisfaction,…
Descriptors: Learner Engagement, Student Motivation, Correlation, Scores
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Davies, Patrick T.; Coe, Jesse L.; Martin, Meredith J.; Sturge-Apple, Melissa L.; Cummings, E. Mark – Developmental Psychology, 2015
Building on empirical documentation of children's involvement in interparental conflicts as a weak predictor of psychopathology, we tested the hypothesis that involvement in conflict more consistently serves as a moderator of associations between children's emotional reactivity to interparental conflict and their psychological problems. In Study…
Descriptors: Parents, Interpersonal Relationship, Psychopathology, Hypothesis Testing
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Raykov, Tenko; Penev, Spiridon – Structural Equation Modeling: A Multidisciplinary Journal, 2010
A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The…
Descriptors: Reliability, Evaluation, Models, Intervals
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Yavuz, Mustafa – Educational Sciences: Theory and Practice, 2009
Discovering what determines students' success in the Secondary Education Institutional Exam is very important to parents and it is also critical for students, teachers, directors, and researchers. Research was carried out by studying the related literature and structural equation modeling techniques. A structural model was created that consisted…
Descriptors: Secondary Education, Family Income, Structural Equation Models, Foreign Countries
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Kaplan, David – Multivariate Behavioral Research, 1999
Proposes an extension of the propensity score adjustment method to the analysis of group differences on latent variable models. Uses multiple indicators-multiple causes (MIMIC) structural equation modeling to test hypotheses about treatment group differences. Discusses the role of factorial invariance as it relates to this approach. (SLD)
Descriptors: Groups, Hypothesis Testing, Scores, Structural Equation Models
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Gaylord-Harden, Noni K. – Psychology in the Schools, 2008
The present study examined children's coping strategies as mediators and moderators of the association between parenting factors and outcomes in 235 African American children (mean age = 10.37 years). Information about parenting and child coping strategies was obtained by child self-report. School adjustment was assessed by standardized…
Descriptors: African American Children, Behavior Problems, Structural Equation Models, Academic Achievement
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Hancock, Gregory R. – Educational and Psychological Measurement, 1997
Methods are offered for conducting hypothesis testing associated with disattenuated validity coefficients to overcome limitations of some other suggested approaches. Through using classical test theory's notion of reliability in the form of structured path models, such hypothesis testing may be done with hierarchically related structural equation…
Descriptors: Correlation, Hypothesis Testing, Reliability, Scores
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