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Roy, Sudipta – Teaching Statistics: An International Journal for Teachers, 2019
The natural experiment proposed in this article extracts three stories from boxes of "100 paper clips". The activity requires students to apply three lessons from inferential statistics, starting with a hypothesis test and including confidence intervals as well as tolerance intervals.
Descriptors: Statistical Inference, Probability, Teaching Methods, Hypothesis Testing
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Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
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Çobanoglu, Halil Orbay – Journal of Education and Training Studies, 2019
The aim of the research was to analyze the goals scored in Russia World Cup 2018. The sample of this research was composed of 64 games played and 169 goals scored in the 2018 Russia World Cup. No goals were scored only in one competition. Because of 12 goals scored were own goals, 157 goals scored were analyzed on eleven different ways. The…
Descriptors: Team Sports, Competition, Statistical Analysis, Athletic Coaches
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Önen, Emine – Universal Journal of Educational Research, 2019
This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…
Descriptors: Factor Analysis, Bayesian Statistics, Comparative Analysis, Statistical Analysis
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Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
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Jorrín Abellán, Ivan M. – Georgia Educational Researcher, 2019
The development of educational research designs might be daunting for novice researchers that have to make choices among the plethora of philosophical frameworks, research traditions, and different methods existing in the field. In this article we describe the process followed to formally evaluate Hopscotch, a model and a web-tool created by the…
Descriptors: Research Design, Educational Research, Models, Qualitative Research
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Tumbleson, Beth; Burke, John; Long, Jessica – Journal of Library & Information Services in Distance Learning, 2019
Librarians are committed to supporting teaching, learning, and research. They are equally committed to supporting student success and retention. Demonstrating the impact that learning management system (LMS) embedded librarians make on student learning has been difficult to correlate, however. Studies that assess this connection, using qualitative…
Descriptors: Librarians, Academic Libraries, Integrated Learning Systems, Information Literacy
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Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
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Raimundo, João A. G.; Turnes, Tiago; de Aguiar, Rafael A.; Lisbôa, Felipe D.; Loch, Thiago; Ribeiro, Guilherme; Caputo, Fabrizio – Research Quarterly for Exercise and Sport, 2019
Purpose: Metabolic perturbation and VO[subscript 2] on-kinetics are potential modifiers of fatigue and vary in importance depending on the exercise task. Thus, performance fatigability during high-intensity exercise seems to be exercise mode dependent, affecting tolerance in the severe domain. However, the effects of exercise mode on severe domain…
Descriptors: Exercise, Comparative Analysis, Physical Activities, Testing
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Astivia, Oscar L. Olvera; Zumbo, Bruno D. – Journal of Educational and Behavioral Statistics, 2019
The Vale and Maurelli algorithm is a widely used method that allows researchers to generate multivariate, nonnormal data with user-specified levels of skewness, excess kurtosis, and a correlation structure. Before obtaining the desired correlation structure, a transitional step requires the user to calculate the roots of a cubic polynomial…
Descriptors: Equations (Mathematics), Correlation, Statistical Analysis, Mathematics
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Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
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Jacobson, Michael J.; Levin, James A.; Kapur, Manu – Educational Researcher, 2019
Education is a complex system, which has conceptual and methodological implications for education research and policy. In this article, an overview is first provided of the Complex Systems Conceptual Framework for Learning (CSCFL), which consists of a set of conceptual perspectives that are generally shared by educational complex systems,…
Descriptors: Systems Approach, Group Behavior, Behavior, Educational Research
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Belfield, Clive R.; Brooks Bowden, A. – Educational Researcher, 2019
Cost, cost-effectiveness, and benefit-cost analysis are methods used by economists to evaluate public policies. Essentially, these methods rely on impact evaluations, that is, research studies of efficacy and effectiveness. However, in most research in education, these cost and impact evaluations are performed separately. This separation creates…
Descriptors: Cost Effectiveness, Outcome Measures, Educational Research, Economics
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Raykov, Tenko; Marcoulides, George A.; Harrison, Michael; Menold, Natalja – Educational and Psychological Measurement, 2019
This note confronts the common use of a single coefficient alpha as an index informing about reliability of a multicomponent measurement instrument in a heterogeneous population. Two or more alpha coefficients could instead be meaningfully associated with a given instrument in finite mixture settings, and this may be increasingly more likely the…
Descriptors: Statistical Analysis, Test Reliability, Measures (Individuals), Computation
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Bolin, Jocelyn H.; Finch, W. Holmes; Stenger, Rachel – Educational and Psychological Measurement, 2019
Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Maximum Likelihood Statistics
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