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Kasprowicz, Tomasz; Musumeci, Jim – Journal of Statistics Education, 2015
One econometric rule of thumb is that greater dispersion in observations of the independent variable improves estimates of regression coefficients and therefore produces better results, i.e., lower standard errors of the estimates. Nevertheless, students often seem to mistrust precisely the observations that contribute the most to this greater…
Descriptors: Regression (Statistics), Teaching Methods, Active Learning, Observation
Kanazawa, Satoshi – Developmental Psychology, 2015
Some previous reviews conclude that breastfeeding is not significantly associated with increased intelligence in children once mother's IQ is statistically controlled. The conclusion may potentially have both theoretical and methodological problems. The National Child Development Study allows the examination of the effect of breastfeeding on…
Descriptors: Infants, Nutrition, Children, Intelligence
Johnson, Roger W.; Kliche, Donna V.; Smith, Paul L. – Journal of Statistics Education, 2015
Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may…
Descriptors: Data Analysis, Meteorology, Weather, Measurement Techniques
Clarke, Paul; Crawford, Claire; Steele, Fiona; Vignoles, Anna – Education Economics, 2015
The use of fixed (FE) and random effects (RE) in two-level hierarchical linear regression is discussed in the context of education research. We compare the robustness of FE models with the modelling flexibility and potential efficiency of those from RE models. We argue that the two should be seen as complementary approaches. We then compare both…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Comparative Analysis
MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…
Descriptors: Factor Analysis, Regression (Statistics), Knowledge Level, Markov Processes
Umugiraneza, Odette; Bansilal, Sarah; North, Delia – South African Journal of Education, 2017
Teaching approaches and assessment practices are key factors that contribute to the improvement of learner outcomes. The study on which this article is based, explored the methods used by KwaZulu-Natal (KZN) teachers in teaching and assessing mathematics and statistics. An instrument containing closed and open-ended questions was distributed to…
Descriptors: Foreign Countries, Educational Practices, Teaching Methods, Statistics
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
Yang, Hsi-Hsun; Su, Chung-Ho – International Review of Research in Open and Distributed Learning, 2017
Few practice-oriented courses are currently integrated into online learning platforms, such as OpenCourseWare, Khan Academy, and Massive Open Online Courses (MOOCs). It is worthwhile to explore how learners respond to information technology and new teaching methods when practice-oriented course are placed online. Therefore, this study probes…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Niehaus, Kate; Adelson, Jill L.; Sejuit, Aubrey; Zheng, Jiali – Applied Developmental Science, 2017
This study examined the extent to which socioemotional well-being mediated the relationship between language status and achievement, while exploring variability in this relationship based on informant (student versus teacher reports of socioemotional problems) and native language background (Spanish-speaking English language learners [ELLs] versus…
Descriptors: Native Language, Academic Achievement, Well Being, Children
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Schmitt, Sara A.; Geldhof, G. John; Purpura, David J.; Duncan, Robert; McClelland, Megan M. – Journal of Educational Psychology, 2017
The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across 4 waves of measurement during the transition from preschool to kindergarten using 2 complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling (LCGM).…
Descriptors: Executive Function, Mathematics Instruction, Transitional Programs, Kindergarten
Roshchin, Sergey; Rudakov, Victor – Journal of Education and Work, 2017
This paper analyses the factors of combining study and work and the factors explaining intensity of work during study in Russia, based on cross-sectional survey data. The issue of how Russian students combine work and study is analysed through the set of financial, academic, social and demographic predictors, quality of university and quality of…
Descriptors: Foreign Countries, Employment Patterns, Student Employment, Education Work Relationship
Shin, Hyo Jeong; Fuller, Bruce; Dauter, Luke – Journal of School Choice, 2017
Disparate findings on whether students attending charter schools outperform peers in traditional public schools (TPS) may stem from mixing differing types of charters or inadequately accounting for pupil background. To gauge prior family selection and heterogeneous effects, we distinguish between conversion and start-up charter schools, along with…
Descriptors: Charter Schools, Traditional Schools, Public Schools, Institutional Characteristics
Steen-Baker, Allison A.; Ng, Shukhan; Payne, Brennan R.; Anderson, Carolyn J.; Federmeier, Kara D.; Stine-Morrow, Elizabeth A. L. – Grantee Submission, 2017
The facilitation of word processing by sentence context reflects the interaction between the build-up of message-level semantics and lexical processing. Yet, little is known about how this effect varies through adulthood as a function of reading skill. In this study, Participants 18-64 years old with a range of literacy competence read simple…
Descriptors: Context Effect, Language Processing, Literacy, Age Differences
Schmitt, Sara A.; Geldhof, G. John; Purpura, David J.; Duncan, Robert; McClelland, Megan M. – Grantee Submission, 2017
The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across four waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling…
Descriptors: Executive Function, Mathematics Instruction, Transitional Programs, Kindergarten

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