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Wu, Amery D.; Stone, Jake E.; Liu, Yan – International Journal of Testing, 2016
This article proposes and demonstrates a methodology for test score validation through abductive reasoning. It describes how abductive reasoning can be utilized in support of the claims made about test score validity. This methodology is demonstrated with a real data example of the Canadian English Language Proficiency Index Program…
Descriptors: Test Validity, Scores, Logical Thinking, Multivariate Analysis
Marquez, Jocabed G. – ProQuest LLC, 2018
The United States faces high demand for science, technology, engineering, or mathematics (STEM) professionals and a scarce supply of individuals who pursue STEM careers, especially minority populations in the U.S with proficiency in a language other than English. The primary goal of this research was to determine the impact of use of Spanish in…
Descriptors: Longitudinal Studies, Executive Function, Mathematics Achievement, Science Achievement
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Tyler, Kenneth M.; Burris, Jennifer L.; Coleman, Sean T. – Journal of Early Adolescence, 2018
Disruptive classroom behaviors are a major schooling dilemma in urban schools. While several contextual and motivational factors have been statistically associated with disruptive classroom behaviors, one overlooked factor has been home-school dissonance. The current study examined the relationship between 260 middle school students' reports of…
Descriptors: Urban Schools, Middle School Students, Goal Orientation, Mastery Learning
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Milosis, Dimitrios; Papaioannou, Athanasios G.; Siatras, Theophanis A.; Proios, Miltiadis; Proios, Michael – Journal of Teaching in Physical Education, 2015
The aims of the study were (a) to test the effectiveness of the theory of planned behavior (TPB) to predict Greek university students' voluntary participation in an extracurricular gymnastics course, and (b) to evaluate gender differences. Two hundred sixty-three (127 female, 136 male) students participated in the study. Students' attitudes,…
Descriptors: Gender Differences, Multivariate Analysis, Student Attitudes, Questionnaires
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Çiftçi, S. Koza – Educational Sciences: Theory and Practice, 2015
The two aims of this study are as follows: (1) to compare the differences in mathematics anxiety and achievement in secondary school students according to their perceptions of the quality of their mathematics education via a cluster analysis and (2) to test the effects of the perception of mathematics education quality on anxiety and achievement…
Descriptors: Secondary School Students, Student Attitudes, Educational Quality, Mathematics Education
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Sivo, Stephen; Karl, Shannon; Fox, Jesse; Taub, Gordon; Robinson, Edward – School Psychology Forum, 2017
The primary objective of this cross-cultural investigation is to compare patterns in student responses to an empirically scrutinized character education measure administered to students in four school districts in Florida with students in a school in Kenya. In this way, the generalizability of findings for scale scores could be compared across…
Descriptors: Cross Cultural Studies, Values Education, Foreign Countries, School Districts
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Lin, Lijia; Atkinson, Robert K.; Savenye, Wilhelmina C.; Nelson, Brian C. – Interactive Learning Environments, 2016
The purpose of this study was to investigate the impacts of visual cues and different types of self-explanation prompts on learning, cognitive load, and intrinsic motivation in an interactive multimedia environment that was designed to deliver a computer-based lesson about the human cardiovascular system. A total of 126 college students were…
Descriptors: Cues, Outcomes of Education, Multimedia Instruction, Cognitive Ability
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Almas, Alisa N.; Degnan, Kathryn A.; Nelson, Charles A.; Zeanah, Charles H.; Fox, Nathan A. – Developmental Psychology, 2016
Young children removed from institutions and placed into foster care or adoptive homes have been shown to experience significant gains in IQ relative to children who remain in institutions. Less is known about the long-term impact of severe early deprivation on development in late childhood. Data are presented from a follow-up of children at 12…
Descriptors: Foreign Countries, Intelligence Quotient, Preadolescents, Foster Care
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Villafañe, Sachel M.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2016
Decisions about instruction, research, or policy often require the interpretation of student assessment scores. Increasingly, attitudinal variables are included in an assessment strategy, and it is important to ensure that interpretations of students' attitudinal status are based on instrument scores that apply similarly for diverse students. In…
Descriptors: Scientific Attitudes, Introductory Courses, Chemistry, Attitude Measures
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Ali, Jinnat; McInerney, Dennis M.; Craven, Rhonda G.; Yeung, Alexander Seeshing; King, Ronnel B. – Journal of Educational Research, 2014
The authors examined the relations between two socially oriented dimensions of student motivation and academic achievement of Native (Navajo) American and Anglo American students. Using confirmatory factor analysis, a multidimensional and hierarchical model was found to explain the relations between performance and social goals. Four first-order…
Descriptors: Correlation, White Students, Navajo (Nation), American Indian Students
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Parker, Philip D.; Martin, Andrew J.; Martinez, Carissa; Marsh, Herbert W.; Jackson, Susan A. – Health Education & Behavior, 2010
The present study explores the validity of a recent stages of change (SoC) measure and algorithm among a sample of late adolescents. MANOVA and structural equation modeling are used to assess the relationship between five SoC groups (precontemplation, contemplation, preparation, action, and maintenance) and a set of dependent measures including…
Descriptors: Physical Activities, Structural Equation Models, Physical Activity Level, Construct Validity
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Allua, Shane; Stapleton, Laura M.; Beretvas, S. Natasha – Educational and Psychological Measurement, 2008
When assessing latent mean differences, researchers frequently do not explore possible heterogeneity within their data sets. Sources of differences may be functions of a nested data structure or heterogeneity in the form of unobserved classes of observations defined by a difference in factor means. In this study, the use of multilevel structural…
Descriptors: Structural Equation Models, Item Response Theory, Social Sciences, Multivariate Analysis
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Zientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
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Ruban, Lilia M.; McCoach, D. Betsy – Review of Higher Education, 2005
This study examined the differential impacts of SAT scores and high school rank, college academic level, motivational variables, and self-regulatory variables in explaining variance in the academic achievement of male and female collegians using structural equation modeling and multiple groups analyses. Significantly, in light of earlier research,…
Descriptors: Gender Differences, Grades (Scholastic), Structural Equation Models, Scores