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Alvarez-Bell, Rosa M.; Wirtz, Derrick; Bian, Hui – Teaching & Learning Inquiry, 2017
When implementing innovative teaching techniques, instructors often seek to gauge the success of their methods. Proposing one approach to assessing classroom innovation, this study examines the ability of students' ratings of engagement and instructional practices to predict their learning in a cooperative (team-based) framework. After identifying…
Descriptors: Learner Engagement, Educational Practices, Predictor Variables, Academic Achievement
Muenks, Katherine; Wigfield, Allan; Yang, Ji Seung; O'Neal, Colleen R. – Journal of Educational Psychology, 2017
Duckworth, Peterson, Matthews, and Kelly (2007) defined "grit" as one's passion and perseverance toward long-term goals. They proposed that it consists of 2 components: consistency of interests and perseverance of effort. In a high school and college student sample, we used a multidimensional item response theory approach to examine (a)…
Descriptors: High School Students, College Students, Metacognition, Item Response Theory
Topçu, Mustafa Sami; Erbilgin, Evrim; Arikan, Serkan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study makes an important contribution to an expanding body of international comparative studies by exploring factors predicting differences in science and mathematics achievement by students in Turkey and the Republic of Korea on the 2011 TIMSS assessment. While these countries are similar with regards to population size, cultural beliefs…
Descriptors: Foreign Countries, Predictor Variables, Science Achievement, Mathematics Achievement
Saele, Rannveig Grøm; Sørlie, Tore; Nergård-Nilssen, Trude; Ottosen, Karl-Ottar; Goll, Charlotte Bjørnskov; Friborg, Oddgeir – Educational Psychology, 2016
Approximately 30% of students drop out from Norwegian upper secondary schools. Academic achievement, as indexed by grade point average (GPA), is one of the strongest predictors of dropout. The present study aimed to examine the role of cognitive, school-related and affective/psychological predictors of GPA. In addition, we examined the…
Descriptors: Foreign Countries, Grade Point Average, Predictor Variables, Secondary School Students
Tyler, Kenneth M.; Stevens-Morgan, Ruby; Brown-Wright, Lynda – RMLE Online: Research in Middle Level Education, 2016
The middle level years continue to be of significant concern to educational stakeholders, policymakers, theorists, and researchers. Chief among this concern is the degree to which middle level students adapt to the middle level climate and eventually begin to feel attached to or a sense of belonging at their school. The research literature has…
Descriptors: Family School Relationship, Teacher Student Relationship, Predictor Variables, Student School Relationship
Hidiroglu, Melike; Sungur, Semra – Asia-Pacific Forum on Science Learning and Teaching, 2015
The aim of this study was to examine how well seventh grade students' engagement in science can be predicted by their achievement goals. For the specified purpose, a correlational research design was utilized. Data were obtained from 153 seventh grade students through administration of Achievement Goal Questionnaire and Engagement Questionnaire.…
Descriptors: Foreign Countries, Predictor Variables, Middle School Students, Grade 7

Green, Bert F. Jr. – Psychometrika, 1976
A summary and interpretation of the recent literature on the indeterminancy of factor scores is given in simple terms. A good index of factor score determinancy is the squared multiple correlation of the factor with the observed variables. (Author)
Descriptors: Correlation, Factor Analysis, Factor Structure, Multiple Regression Analysis

Miller, Doris Crane; Michael, William B. – Educational and Psychological Measurement, 1972
Descriptors: Academic Achievement, Community Colleges, Factor Structure, Measurement Instruments

Loftus, Elizabeth F.; Suppes, Patrick – Journal of Educational Psychology, 1972
Analysis showed that a word problem is difficult to solve if: it is of a different type from the problem that preceded it; its solution requires a large number of different operations; its surface structure is complex; it has a large number of words; or it requires a conversion of units. (Authors)
Descriptors: Computer Assisted Instruction, Difficulty Level, Factor Structure, Grade 6
Beaton, Albert E., Jr. – 1973
Commonality analysis is an attempt to understand the relative predictive power of the regressor variables, both individually and in combination. The squared multiple correlation is broken up into elements assigned to each individual regressor and to each possible combination of regressors. The elements have the property that the appropriate sums…
Descriptors: Algorithms, Computer Programs, Correlation, Data Analysis

Claudy, John G. – Educational and Psychological Measurement, 1972
First purpose of this study was to investigate empirically the accuracy of prediction using regression weights selected through the use of variance-reduction procedures. (Author)
Descriptors: Comparative Analysis, Error Patterns, Factor Structure, Item Sampling

Holly, Keith A.; Michael, William B. – Educational and Psychological Measurement, 1972
On the basis of the findings it would appear that mathematics instructors should consider seriously the use of Structure-of-Intellect factor tests for selection and placement of students. (Authors)
Descriptors: Academic Achievement, Algebra, Criterion Referenced Tests, Factor Structure

Morris, John D.; Guertin, Wilson H. – Journal of Experimental Education, 1977
Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)
Descriptors: Correlation, Educational Research, Factor Analysis, Factor Structure
Vasu, Ellen S.; Elmore, Patricia B. – 1975
The effects of the violation of the assumption of normality coupled with the condition of multicollinearity upon the outcome of testing the hypothesis Beta equals zero in the two-predictor regression equation is investigated. A monte carlo approach was utilized in which three differenct distributions were sampled for two sample sizes over…
Descriptors: Correlation, Error of Measurement, Factor Structure, Hypothesis Testing