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Dogan, C. Deha – Eurasian Journal of Educational Research, 2017
Background: Most of the studies in academic journals use p values to represent statistical significance. However, this is not a good indicator of practical significance. Although confidence intervals provide information about the precision of point estimation, they are, unfortunately, rarely used. The infrequent use of confidence intervals might…
Descriptors: Sampling, Statistical Inference, Periodicals, Intervals
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Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Cimpian, Joseph R. – Journal of Research on Educational Effectiveness, 2017
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Intervention, Quasiexperimental Design, Simulation
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Wiedermann, Wolfgang; von Eye, Alexander – International Journal of Behavioral Development, 2015
The concept of direction dependence has attracted growing attention due to its potential to help decide which of two competing linear regression models (X ? Y or Y ? X) is more likely to reflect the correct causal flow. Several tests have been proposed to evaluate hypotheses compatible with direction dependence. In this issue, Thoemmes (2015)…
Descriptors: Regression (Statistics), Correlation, Influences, Predictor Variables
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Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie – Educational Studies in Mathematics, 2015
The goal of this article is to introduce the topic of "learning to reason from samples," which is the focus of this special issue of "Educational Studies in Mathematics" on "statistical reasoning." Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular procedure…
Descriptors: Mathematics Instruction, Statistical Analysis, Mathematical Logic, Statistical Inference
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Albano, Anthony D. – Journal of Educational Measurement, 2015
Research on equating with small samples has shown that methods with stronger assumptions and fewer statistical estimates can lead to decreased error in the estimated equating function. This article introduces a new approach to linear observed-score equating, one which provides flexible control over how form difficulty is assumed versus estimated…
Descriptors: Equated Scores, Sample Size, Sampling, Statistical Inference
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Skewes, Joshua C.; Gebauer, Line – Journal of Autism and Developmental Disorders, 2016
Convergent research suggests that people with ASD have difficulties localizing sounds in space. These difficulties have implications for communication, the development of social behavior, and quality of life. Recently, a theory has emerged which treats perceptual symptoms in ASD as the product of impairments in implicit Bayesian inference; as…
Descriptors: Autism, Pervasive Developmental Disorders, Auditory Perception, Bayesian Statistics
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Mubarik, Shujaat; Chandran, V. G. R.; Devadason, Evelyn S. – Learning Organization, 2016
Purpose: This study aims to examine the influence of relational capital quality on client loyalty, comprising both behavioral and attitudinal, in the pharmaceutical industry of Pakistan. Design/methodology/approach: The partial least squares technique is used to test the relationship using a sample of 111 pharmaceutical firms. We applied a…
Descriptors: Foreign Countries, Industry, Pharmacology, Behavior
Dowiak, Shawn M. – ProQuest LLC, 2016
Are fraternities still relevant to the college student experience? By examining the moral, student, and leadership development of IFC fraternity men, while controlling for institutional and student characteristics, the current study analyzed the roots of the purported value-added nature of fraternities using data from the Multi-Institutional Study…
Descriptors: Fraternities, College Students, Leadership, Student Characteristics
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
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Edson, Alden Jack – ZDM: The International Journal on Mathematics Education, 2017
This exploratory study reports on how students activated learner-controlled scaffolding and navigated through sequences of connected problems in a digital learning environment. A design experiment was completed to (re)design, iteratively develop, test, and evaluate a digital version of an instructional unit focusing on binomial distributions and…
Descriptors: Teaching Methods, Learner Controlled Instruction, Scaffolding (Teaching Technique), Educational Technology
Brockbank, Kevin C. – ProQuest LLC, 2017
The purpose of this quantitative non-experimental study is to determine the leadership competencies most desired by members of the community college board of trustees and faculty for a community college president. The study will examine the alignment of those competencies between the trustees and their faculty groups to determine if the two groups…
Descriptors: Trustees, College Faculty, Teacher Attitudes, Leadership Qualities
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Susewind, Raphael – Field Methods, 2015
Fine-grained data on religious communities are often considered sensitive in South Asia and consequently remain inaccessible. Yet without such data, statistical research on communal relations and group-based inequality remains superficial, hampering the development of appropriate policy measures to prevent further social exclusion on the basis of…
Descriptors: Probability, Statistical Inference, Religious Cultural Groups, Mathematics
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Bedwell, Mike – Teaching Statistics: An International Journal for Teachers, 2015
This article is based on classroom application of a problem story constructed by Amos Tversky in the 1970s. His intention was to evaluate human beings' intuitions about statistical inference. The problem was revisited by his colleague, the Nobel Prize winner Daniel Kahneman. The aim of this article is to show how popular science textbooks can…
Descriptors: Statistical Inference, Thinking Skills, Problem Solving, Sciences
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Raunig, Thomas A.; Coggins, Porter E., III – Journal of Curriculum and Teaching, 2018
Collegiate athletics coaches play a vital role in the lives of student-athletes and regularly interact with the members of their teams more than faculty given the nature of athletics practice schedules compared to academic class schedules. Although the primary purpose of university attendance at all universities is pursuit of academic degrees,…
Descriptors: College Athletics, Athletic Coaches, Intercollegiate Cooperation, College Faculty
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