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Ismail, Mohd Nasir; Ngah, Nor Azilah; Umar, Irfan Naufal – Journal of Educational Computing Research, 2010
The purpose of the study is to investigate the effects of mind mapping with cooperative learning (MMCL) and cooperative learning (CL) on: (a) programming performance; (b) problem solving skill; and (c) metacognitive knowledge among computer science students in Malaysia. The moderating variable is the students' logical thinking level with two…
Descriptors: Thinking Skills, Hypothesis Testing, Control Groups, Cooperative Learning
Berninger, Virginia W.; Abbott, Robert D. – Journal of Educational Psychology, 2010
Age-normed tests of listening comprehension, oral expression, reading comprehension, and written expression were administered in Grades 1 (n = 128), 3, and 5, or 3 (n = 113), 5, and 7. Confirmatory factor analyses compared 1- and 4-factor models at each grade level and supported a 4-factor model of language by ear, mouth, eye, and hand. Multiple…
Descriptors: Reading Comprehension, Listening Comprehension, Speech Communication, Gifted
Visser, Marieke; Kunnen, Saskia E.; van Geert, Paul L. C. – Mind, Brain, and Education, 2010
The role of context in the development of child aggression was studied. The effects of peer aggregation and group composition on aggression development in intervention contexts and classroom contexts were compared using 71 elementary school children. We hypothesized that, due to peer group effects, group-trained children would benefit less from a…
Descriptors: Elementary School Students, Intervention, Aggression, Peer Groups
Peer reviewedReitsch, Arthur G. – Educational and Psychological Measurement, 1976
A technique for selecting alpha based on the particular circumstances of a hypothesis testing problem is illustrated. In selecting an alpha, the technique takes into account the prior probability that the null hypothesis is true and the penalties associated with Type I and Type II errors. (Author)
Descriptors: Hypothesis Testing, Statistical Analysis
Peer reviewedBerry, Kenneth J.; Mielke, Paul W. – Educational and Psychological Measurement, 1976
A Fortran Extended program which computes Goodman and Kruskal's Tau-b, its asymmetrical counterpart, Tau-a, and three sets of confidence limits for each coefficient under full multinomial and proportional stratified sampling is presented. A correction of an error in the calculation of the large sample standard error of Tau-b is discussed.…
Descriptors: Computer Programs, Hypothesis Testing
Peer reviewedMielke, Paul W., Jr.; Berry, Kenneth J. – Psychometrika, 1976
A large class of rank tests which includes the "sign test" and Wilcoxon signed-ranks test is described. These distribution free tests provide a basis for testing various research hypotheses. Exact small sample and approximate large sample procedures are considered. Applications are presented including numerical examples. (Author/HG)
Descriptors: Hypothesis Testing, Nonparametric Statistics
White, Amy E. – 2000
In traditional null hypothesis testing, researchers use critical values of various test statistics in order to minimize the risk of making Type I errors. These critical values are associated with common alpha levels (e.g., 0.01, 0.05) that indicate the probability of a Type I error. Alpha values are set at conservative levels such that the Type I…
Descriptors: Hypothesis Testing, Statistical Analysis
Anttonen, Ralph G. – J Educ Res, 1970
Descriptors: Hypothesis Testing, Research Problems
Theye, Fred W. – J Clin Psychol, 1970
Descriptors: Hypothesis Testing, Test Results
Peer reviewedLutz, J. Gary – Educational and Psychological Measurement, 1979
A specialized vector used to interpret rejected multivariate single sample hypotheses, introduced in an earlier article by the writer (EJ 097 103), is shown here to be equivalent to the vector that would be obtained if discriminant analysis techniques were to be applied to a single sample problem. (Author)
Descriptors: Discriminant Analysis, Hypothesis Testing
Peer reviewedGraney, Marshall J. – Educational and Psychological Measurement, 1979
Kendall's S is often used for measuring magnitude of bivariate association in social and behavioral research. This nomogram permits a research analyst to make rapid and accurate evaluation of the statistical significance of S without recourse to formulae or computations in all except borderline cases. (Author/CTM)
Descriptors: Hypothesis Testing, Nonparametric Statistics
Peer reviewedWilcox, Rand R. – Educational and Psychological Measurement, 1980
When analyzing a squared multiple correlation coefficient, an investigator may be interested in determining whether it is above or below a known constant, rather than testing the null hypothesis. This paper gives the sample sizes required for answering this question when indifference zone formulation of the problem is used. (Author/BW)
Descriptors: Correlation, Hypothesis Testing, Sampling
Nordmoe, Eric D. – Teaching Statistics: An International Journal for Teachers, 2004
A walk through Milne's Enchanted Forest leads to an unexpected encounter with hypothesis testing.
Descriptors: Hypothesis Testing, Statistical Significance
Taylor, Ann Elizabeth – ProQuest LLC, 2009
This study explored whether an intervention involving Brain Gym exercises designed to increase academic achievement in the areas of math and reading/language arts would be successful. Three groups were used in the study: an initial treatment group, a delayed treatment group, and a control group. Each of the three groups was comprised of 20…
Descriptors: Comparative Analysis, Language Arts, Academic Achievement, Brain
Rubinsten, Orly – Cognitive Development, 2009
Five to seven percent of children experience severe difficulties in learning mathematics and/or reading. Current trials that are focused on identifying biological markers suggest that these learning disabilities, known as Developmental Dyscalculia (DD) and Dyslexia (for reading), are due to underlying brain dysfunctions. One ongoing controversy…
Descriptors: Etiology, Neuropsychology, Learning Disabilities, Dyslexia

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