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Tongxi Liu – Journal of Educational Computing Research, 2024
Addressing cognitive disparities has become a paramount concern in computational thinking (CT) education. The intricate and nuanced relationships between CT and cognitive variations emphasize the needs to accommodate diverse cognitive profiles when fostering CT skills, recognizing that these cognitive functions can manifest as either strengths or…
Descriptors: Executive Function, Computation, Thinking Skills, Data Science
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Dossanova, ?ssem; Lozovoy, Vasiliy; Wood, Dan; ??nekenova, ?enzhekyz; Botabayeva, ?igul; Dossanov, Bolatbek; Lozovaya, Yelena; ?marov, ?algat – International Journal of Environmental and Science Education, 2016
The reproductive system of adolescents is exposed to a high risk of anomalies. In spite of the successes of surgical correction, the percentage of postoperative complications remains high. Special attention should be paid to circumcision, which is regarded as a religious tradition in many countries and carried out with sanitary violations. This…
Descriptors: Adolescents, Males, Surgery, Human Body
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Hegeman, Jennifer; Waters, Gavin – MathAMATYC Educator, 2012
Many developmental mathematics programs emphasize computational fluency with the assumption that this is a necessary contributor to student success in general studies mathematics. In an effort to determine which skills are most essential, scores on a computational fluency test were correlated with student success in general studies mathematics at…
Descriptors: Computation, Mathematics Curriculum, Mathematics Education, Introductory Courses
Goldhaber, Dan; Chaplin, Duncan – Mathematica Policy Research, Inc., 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value-added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: Value Added Models, Academic Achievement, Teacher Effectiveness, Correlation
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Kelava, Augustin; Werner, Christina S.; Schermelleh-Engel, Karin; Moosbrugger, Helfried; Zapf, Dieter; Ma, Yue; Cham, Heining; Aiken, Leona S.; West, Stephen G. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Interaction and quadratic effects in latent variable models have to date only rarely been tested in practice. Traditional product indicator approaches need to create product indicators (e.g., x[superscript 2] [subscript 1], x[subscript 1]x[subscript 4]) to serve as indicators of each nonlinear latent construct. These approaches require the use of…
Descriptors: Simulation, Computation, Evaluation, Predictor Variables
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Solanas, Antonio; Manolov, Rumen; Sierra, Vicenta – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
In the first part of the study, nine estimators of the first-order autoregressive parameter are reviewed and a new estimator is proposed. The relationships and discrepancies between the estimators are discussed in order to achieve a clear differentiation. In the second part of the study, the precision in the estimation of autocorrelation is…
Descriptors: Computation, Hypothesis Testing, Correlation, Monte Carlo Methods
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Bloom, Howard S.; Weiland, Christina – Society for Research on Educational Effectiveness, 2014
Head Start is the largest publicly funded preschool program in the U.S., and one of its primary goals is to improve the school readiness of low-income children. As has been widely reported, the first randomized trial of Head Start in the program's history found some evidence that it is achieving this goal. Receiving one year of Head Start had…
Descriptors: Early Intervention, Preschool Education, Early Childhood Education, School Readiness
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Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2007
A common mistake in analysis of cluster randomized trials is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This typically leads to an overstatement of the precision of results and anticonservative conclusions about precision and statistical significance of treatment effects. This…
Descriptors: Statistical Significance, Computation, Cluster Grouping, Statistics
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Fitz-Gibbon, Carol Taylor; Morris, Lynn Lyons – 1978
The statistical methods presented in this workbook focus on the display of central tendency, statistical tests, and correlation. Chapters 2, 3, and 4 consist of worksheets, each of which provides step-by-step instructions for calculating and interpreting a particular statistical method. The introduction to each worksheet explains how and when to…
Descriptors: Computation, Computer Programs, Correlation, Data Analysis