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Yazgan, Yeliz – Educational Research and Reviews, 2015
This study investigated the role of each strategy in explaining sixth graders' (12-13 years old students') non-routine problem solving success and discriminating between successful and unsuccessful students. Twelve non-routine problems were given to 123 pupils. Answers were scored between 0 and 10. Bottom and top segments of 27% were then…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, Problem Solving
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Barton, Mitch; Yeatts, Paul E.; Henson, Robin K.; Martin, Scott B. – Research Quarterly for Exercise and Sport, 2016
There has been a recent call to improve data reporting in kinesiology journals, including the appropriate use of univariate and multivariate analysis techniques. For example, a multivariate analysis of variance (MANOVA) with univariate post hocs and a Bonferroni correction is frequently used to investigate group differences on multiple dependent…
Descriptors: Exercise Physiology, Discriminant Analysis, Multivariate Analysis, Testing
Pham, Linh Hung – ProQuest LLC, 2014
This study was designed to investigate the predictive relationships of creative problem-solving attributes, which comprise divergent thinking, convergent thinking, motivation, general and domain knowledge and skills, and environment, with mathematical creativity of sixth grade students in Thai Nguyen City, Viet Nam. The study also aims to revise…
Descriptors: Creativity, Problem Solving, Creative Thinking, Thinking Skills
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Chen, Yi-Hsin; Thompson, Marilyn S.; Kromrey, Jeffrey D.; Chang, George H. – Journal of Experimental Education, 2011
In this article, the authors investigated the relations of students' perceptions of teachers' oral feedback with teacher expectancies and student self-concept. A sample of 1,598 Taiwanese children in Grades 3 to 6 completed measures of student perceptions of teacher oral feedback and school self-concept. Homeroom teachers identified students for…
Descriptors: Feedback (Response), Student Attitudes, Structural Equation Models, Discriminant Analysis
Agar-Jacobsen, Roberta J. – ProQuest LLC, 2010
The primary goal of this study was to examine the relationship between deaf and hard-of-hearing students' learning style preferences and compare them to their nondeaf peers. Specifically, this study used 90 students throughout western Washington State, 45 per group. Quantitative data were collected using the 104-question survey Learning Style…
Descriptors: Cognitive Style, Elementary Secondary Education, Deafness, Grade 6
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2013
TIMSS (Trends in International Mathematics and Science Study) is an international assessment of mathematics and science at the fourth and eighth grades that has been conducted every four years since 1995, with the most recent assessment in 2011. PIRLS (Progress in International Reading Literacy Study) is an international assessment of reading…
Descriptors: Student Evaluation, Mathematics Achievement, Science Achievement, Grade 4
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Warnock, Emery C. – Contributions to Music Education, 2009
This study was designed to predict middle school sixth graders' group membership in band (n = 81), chorus (n = 45), and as non-participants in music performance ensembles (n = 127), as determined by gender and factors on the Attraction Toward School Performance Ensemble (ATSPE) scale (alpha = 0.88). Students completed the ATSPE as elementary fifth…
Descriptors: Group Membership, Music Education, Music, Discriminant Analysis
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Stone, Margaret R.; Barber, Bonnie L.; Eccles, Jacquelynne S. – Journal of Early Adolescence, 2008
Discriminant function analysis assessed the predictive relevance of nine characteristics measured in sixth grade for differentiating among social identities claimed 4 years later by 616 participants in the Michigan Study of Life Transitions. For females, the first discriminant function, associated with academic motivation, self-esteem, and…
Descriptors: Self Concept, Student Motivation, Academic Achievement, Discriminant Analysis