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Walker, A. Adrienne; Engelhard, George, Jr. – Applied Measurement in Education, 2015
The idea that test scores may not be valid representations of what students know, can do, and should learn next is well known. Person fit provides an important aspect of validity evidence. Person fit analyses at the individual student level are not typically conducted and person fit information is not communicated to educational stakeholders. In…
Descriptors: Test Validity, Goodness of Fit, Educational Assessment, Hierarchical Linear Modeling
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Culbertson, Satoris S.; Fullagar, Clive J.; Simmons, Mathias J.; Zhu, Mengmeng – Journal of Management Education, 2015
The current study examined undergraduate student understanding of, and interest in, course material as potential antecedents to student experiences of flow within a classroom setting. In addition, the social, informative, and contagious nature of flow were examined, as was the influence of being in flow during classroom coverage of material on…
Descriptors: Undergraduate Students, Student Experience, Course Content, Tests
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Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Journal of Educational and Behavioral Statistics, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Grantee Submission, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix [sigma] of group-level varying coefficients are often degenerate. One can do better, even…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Andrew Gelman; Daniel Lee; Jiqiang Guo – Journal of Educational and Behavioral Statistics, 2015
Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…
Descriptors: Programming Languages, Bayesian Statistics, Inferences, Monte Carlo Methods
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Gropen, Jess; Kook, Janna F.; Hoisington, Cindy; Clark-Chiarelli, Nancy – Early Education and Development, 2017
Young children are able to benefit from early science teaching but many preschool teachers have not had opportunities to deepen their own understanding of science or to develop their pedagogical content knowledge (PCK) in relation to specific science topics and concepts. This study presents the results of efficacy research on Foundations of…
Descriptors: Scientific Literacy, Pedagogical Content Knowledge, Faculty Development, Science Instruction
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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Smith-Millman, Marissa K.; Flaspohler, Paul D.; Maras, Melissa A.; Splett, Joni Williams; Warmbold, Kristy; Dinnen, Hannah; Luebbe, Aaron – Advances in School Mental Health Promotion, 2017
Some universal behavioural screening processes require classroom teachers to complete a risk assessment measure on each student in their class, leading to a possible, but unexplored, problem: risk assessment scores may be influenced by the teacher completing the measure. The current study investigated whether teacher-reported risk assessment…
Descriptors: Risk Assessment, Differences, Scores, Elementary School Teachers
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Kanyongo, Gibbs Y.; Ayieko, Rachel – African Journal of Research in Mathematics, Science and Technology Education, 2017
This study investigated the relationship between socio-economic status, school-level variables and mathematics achievement of sixth graders in Kenya and Zimbabwe. The study is based on secondary data collected by the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ III). SACMEQ employed cluster-sampling procedures…
Descriptors: Foreign Countries, Comparative Education, Hierarchical Linear Modeling, Elementary School Students
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Po, Yang; Yunbo, Liu – Chinese Education & Society, 2017
In the rapid development of Chinese higher vocational education, large gaps have appeared in the scale of development and resource generation among the provinces, among regions in the provinces, and among higher education institutions in the provinces. Balanced regional development and provincial-level coordination have become policy focal points,…
Descriptors: Higher Education, Vocational Education, Governance, Models
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Preston, Courtney – Journal of Teacher Education, 2017
For over two decades, there have been calls to assess the relationship of the features of teacher preparation programs to teacher effectiveness, to provide guidance for program improvement. At the middle grades level, theory suggests that coursework in educational psychology is particularly important for teacher effectiveness. Using 4 years of…
Descriptors: Teacher Education Programs, Middle School Students, Academic Achievement, Achievement Gains
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Mao, Yi; White, Tyreke; Sadler, Philip M.; Sonnert, Gerhard – Educational Studies in Mathematics, 2017
This study investigates how the use of calculators during high school mathematics courses is associated with student performance in introductory college calculus courses in the USA. Data were drawn from a nationally representative sample of 7087 students enrolled in college calculus at 134 colleges and universities. They included information about…
Descriptors: Calculators, Technology Uses in Education, Mathematics Achievement, Mathematics Education
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Pamuk, Savas; Sungur, Semra; Oztekin, Ceren – International Journal of Science and Mathematics Education, 2017
This study adopted a cross-sectional and correlational research design in an attempt to add our understanding of student- and teacher-level factors that help explain variability in students' science achievement to the existing literature. More specifically, the present article examined students' science achievement in relation to their…
Descriptors: Hierarchical Linear Modeling, Constructivism (Learning), Self Efficacy, Goal Orientation
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Barnard, Allison D.; Adelson, Jill L.; Pössel, Patrick – Early Child Development and Care, 2017
We explored the associations between student-perceived teaching behaviours and negative affect (NA) and positive affect (PA) in upper elementary age students, both before and after controlling for perceived parenting behaviours. The Teaching Behaviour Questionnaire, the Alabama Parenting Questionnaire, and the Positive and Negative Affect Schedule…
Descriptors: Correlation, Elementary School Students, Elementary School Teachers, Teacher Behavior
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Tan, Cheng Yong – British Educational Research Journal, 2017
The traditional discourse in the scholarship on cultural capital theory has focused on how exclusive participation in elite status culture by students from higher socioeconomic status families benefits their learning in schools, the effects of which are most evident in linguistic subject areas such as reading achievement. However, some scholars…
Descriptors: Parents, Parent Attitudes, Expectation, Cultural Capital
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