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Showing 1 to 15 of 19 results Save | Export
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Spratto, Elisabeth M.; Leventhal, Brian C.; Bandalos, Deborah L. – Educational and Psychological Measurement, 2021
In this study, we examined the results and interpretations produced from two different IRTree models--one using paths consisting of only dichotomous decisions, and one using paths consisting of both dichotomous and polytomous decisions. We used data from two versions of an impulsivity measure. In the first version, all the response options had…
Descriptors: Comparative Analysis, Item Response Theory, Decision Making, Data Analysis
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Doan, Thanh-Nam; Sahebi, Shaghayegh – International Educational Data Mining Society, 2019
One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…
Descriptors: Data Analysis, Performance Factors, Prediction, Models
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Park, Aesoon; Kim, Jueun; Gellis, Les A.; Zaso, Michelle J.; Maisto, Stephen A. – Journal of American College Health, 2014
Objective: Although the association of impulsivity with diverse alcohol outcomes has been documented, the mechanisms by which impulsivity predicts drinking over time remain to be fully characterized. The authors examined whether positive drinking consequences, but not negative drinking consequences, mediated the association between impulsivity and…
Descriptors: College Students, Student Surveys, Online Surveys, Path Analysis
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Shin, Namin; Jang, Yeon-Ju – Journal of Creative Behavior, 2017
The development of group creativity can be challenging for both young students and their teachers. This study examined the processes and learning outcomes of group creativity training from the perspectives of elementary school students and teachers while identifying critical factors that contributed to the success of the training. Data were…
Descriptors: Creative Development, Creativity, Elementary School Students, Foreign Countries
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Chen, Pan; Vazsonyi, Alexander T. – Developmental Psychology, 2011
In the current study, based on a sample of 1,873 adolescents between 11.4 and 20.9 years of age from the first 3 waves of the National Longitudinal Study of Adolescent Health, we investigated the longitudinal effects of future orientation on levels of and developmental changes in problem behaviors, while controlling for the effects by impulsivity;…
Descriptors: Conceptual Tempo, Behavior Problems, Marriage, Adolescents
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Kipper, David A.; Green, Doreen J.; Prorak, Amanda – Journal of Creativity in Mental Health, 2010
The present study was designed to investigate two characteristics of spontaneity, its relationship to creativity and to impulsivity. We hypothesized a positive relationship between spontaneity and creativity, consistent with Moreno, 1953 "canon of spontaneity-creativity." We also predicted a negative relationship between spontaneity and…
Descriptors: Undergraduate Students, Creativity, Conceptual Tempo, Urban Universities
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Marsh, Julie A.; McCombs, Jennifer Sloan; Martorell, Francisco – Educational Policy, 2010
This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…
Descriptors: Middle Schools, Decision Making, Data Analysis, Program Implementation
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Kopfstein, Donald – Child Development, 1973
The finding that the impulsivity-reflectivity dimension was not related to risk-taking behavior was clearly unexpected. (Author)
Descriptors: Conceptual Tempo, Data Analysis, Decision Making, Grade 4
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McKinney, James D. – Developmental Psychology, 1973
Reflective subjects generated characteristically different and more efficient hypothesis-testing strategies than impulsive subjects. (Author)
Descriptors: Cognitive Processes, Conceptual Tempo, Data Analysis, Grade 2
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Adams, Wayne V. – Child Development, 1972
The interaction between age and conceptual tempo was a consistently significant finding. (Author)
Descriptors: Age Differences, Cognitive Processes, Conceptual Tempo, Data Analysis
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Messer, Stanley B. – Child Development, 1972
Boys who took credit for their academic successes and girls who accepted blame for their failures were those most likely to have higher grades and higher achievement test scores. (Author)
Descriptors: Academic Achievement, Conceptual Tempo, Data Analysis, Grade 4
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Nuessle, William – Journal of Experimental Child Psychology, 1972
It was concluded that developmental differences in focusing are related to developmental differences in reflection-impulsivity. (Author)
Descriptors: Age Differences, Conceptual Tempo, Data Analysis, Developmental Psychology
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Zelniker, Tamar; And Others – Child Development, 1972
Descriptors: Attention Span, Conceptual Tempo, Data Analysis, Eye Fixations
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Stennett, R. G.; And Others – Alberta Journal of Educational Research, 1972
Results of this study reinforce Kagan's postulation of reflection-impulsivity as a dimension of cognitive style which influences performance on a wide variety of reading-like tasks. (Authors)
Descriptors: Beginning Reading, Conceptual Tempo, Data Analysis, Error Patterns
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Caplan, David; And Others – Language and Cognitive Processes, 1994
Reports five experiments; the first two assessed the effect of the selectional restriction requirements of verbs and the animacy of nouns on sentence comprehension, the third determined the cause of the interaction found in the first set of studies, and the fourth and fifth were self-paced reading experiments. (52 references) (Author/CK)
Descriptors: College Students, Conceptual Tempo, Data Analysis, Graphs
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