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Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
Guerra-Peña, Kiero; Steinley, Douglas – Educational and Psychological Measurement, 2016
Growth mixture modeling is generally used for two purposes: (1) to identify mixtures of normal subgroups and (2) to approximate oddly shaped distributions by a mixture of normal components. Often in applied research this methodology is applied to both of these situations indistinctly: using the same fit statistics and likelihood ratio tests. This…
Descriptors: Growth Models, Bayesian Statistics, Sampling, Statistical Inference
Comalli, David M.; Keen, Rachel; Abraham, Evelyn S.; Foo, Victoria J.; Lee, Mei-Hua; Adolph, Karen E. – Developmental Psychology, 2016
Some grips on the handle of a tool can be planned on the basis of information directly available in the scene. Other grips, however, must be planned on the basis of the final position of the hand. "End-state comfort" grips require an awkward or uncomfortable initial grip so as to later implement the action comfortably and efficiently.…
Descriptors: Planning, Cognitive Development, Children, Age Differences
Witmer, Jeffrey A. – Teaching Statistics: An International Journal for Teachers, 2016
Concept maps are tools for organizing thoughts on the main ideas in a course. I present an example of a concept map that was created through the work of students in an introductory class and discuss major topics in statistics and relationships among them.
Descriptors: Concept Mapping, Introductory Courses, Statistics, Units of Study
Drollette, Eric S.; Scudder, Mark R.; Raine, Lauren B.; Davis Moore, R.; Pontifex, Matthew B.; Erickson, Kirk I.; Hillman, Charles H. – Developmental Science, 2016
The present investigation examined the sexual dimorphic patterns of cardiorespiratory fitness to working memory in preadolescent children (age range: 7.7-10.9). Data were collected in three separate studies (Study 1: n = 97, 42 females; Study 2: n = 95, 45 females; Study 3: n = 84, 37 females). All participants completed a cardiorespiratory…
Descriptors: Short Term Memory, Physical Fitness, Preadolescents, Gender Differences
Lu, Hongjing; Rojas, Randall R.; Beckers, Tom; Yuille, Alan L. – Cognitive Science, 2016
Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about…
Descriptors: Learning Processes, Causal Models, Sequential Learning, Abstract Reasoning
Kulp, Christopher W.; Sprechini, Gene D. – Teaching Statistics: An International Journal for Teachers, 2016
A classroom activity is presented, which can be used in teaching students statistics with an easily generated, large, real world data set. The activity consists of analyzing a video recording of an object. The colour data of the recorded object can then be used as a data set to explore variation in the data using graphs including histograms,…
Descriptors: Statistics, Class Activities, Statistical Data, Video Technology
Cox, Richard G. – Teaching Statistics: An International Journal for Teachers, 2016
This classroom activity is designed to help students practice calculating percentiles. The approach of the activity involves physical sorting and full classroom participation in each calculation. The design encourages a more engaged approach than simply having students make a calculation with numbers on a paper.
Descriptors: Statistics, Class Activities, Learning Activities, Computation
Windham, Gayle C.; Lyall, Kristen; Anderson, Meredith; Kharrazi, Martin – Journal of Autism and Developmental Disorders, 2016
We examined prenatal screening markers and offspring autism spectrum disorder (ASD) using California statewide data on singleton births in 1996 and 2002. Second trimester levels of unconjugated estriol (uE3), human chorionic gonadotropin (hCG), and maternal serum alpha-fetoprotein (MSAFP) were compared between mothers of children with ASD…
Descriptors: Autism, Pervasive Developmental Disorders, Mothers, Regression (Statistics)
Finch, W. Holmes – Applied Measurement in Education, 2016
Differential item functioning (DIF) assessment is a crucial component in test construction, serving as the primary way in which instrument developers ensure that measures perform in the same way for multiple groups within the population. When such is not the case, scores may not accurately reflect the trait of interest for all individuals in the…
Descriptors: Test Bias, Monte Carlo Methods, Comparative Analysis, Population Groups
Desjardins, Christopher David – Journal of Experimental Education, 2016
The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative…
Descriptors: Suspension, Statistical Analysis, Models, Data
Cassey, Peter; Hawkins, Guy E.; Donkin, Chris; Brown, Scott D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Reasoning and inference are well-studied aspects of basic cognition that have been explained as statistically optimal Bayesian inference. Using a simplified experimental design, we conducted quantitative comparisons between Bayesian inference and human inference at the level of individuals. In 3 experiments, with more than 13,000 participants, we…
Descriptors: Experiments, Inferences, Bayesian Statistics, Probability
Hovardas, Tasos – Journal of Research in Science Teaching, 2016
Although ecological systems at varying scales involve non-linear interactions, learners insist thinking in a linear fashion when they deal with ecological phenomena. The overall objective of the present contribution was to propose a hypothetical learning progression for developing non-linear reasoning in prey-predator systems and to provide…
Descriptors: Regression (Statistics), Preservice Teachers, Formative Evaluation, Ecology
Fike, David; Fike, Renea – International Journal on E-Learning, 2016
The primary focus of this study was to determine if student learning outcomes in an undergraduate Statistics course differed based upon the type of textbook used (e-textbook or hardcopy). Fifty-six students enrolled in the course were allowed to choose textbook type. After controlling for student demographics and academic preparedness, student…
Descriptors: Electronic Publishing, Textbooks, Outcomes of Education, Undergraduate Students
Nager, Adams; Atkinson, Robert – NCSSS Journal, 2016
Despite the growing use of computers and software in every facet of our economy, not until recently has computer science education begun to gain traction in American school systems. The current focus on improving science, technology, engineering, and mathematics (STEM) education in the U.S. School system has disregarded differences within STEM…
Descriptors: Computer Science Education, Educational Improvement, Educational Change, Change Strategies

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