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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
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Rosmaniar, Widhyanti; Marzuki, Shahril Charil bin Hj. – Higher Education Studies, 2016
The purpose of this study is to look closely at how aspects of instructional leadership, and organizational learning affect the quality of madrasah in improving the quality of graduate the state madrasah aliyah. The experiment was conducted using a quantitative approach with descriptive and inferential methods, in inferential methods used…
Descriptors: Principals, Instructional Leadership, Workplace Learning, Organizational Development
Rickles, Jordan H. – Society for Research on Educational Effectiveness, 2010
This paper illustrates how information collected through interviews can develop a richer understanding of the assignment mechanism, which can result in more plausible causal effect estimates from observational studies and provides a roadmap for sensitivity analysis. Focusing on the issue of assignment to algebra in 8th grade, the author shows how…
Descriptors: Middle Schools, Grade 8, Interviews, Algebra
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Marsh, Michael T. – American Journal of Business Education, 2009
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
Descriptors: Online Courses, Statistical Analysis, Sampling, Teaching Methods
Min, Kyung-Seok; Frank, Kenneth A. – 2002
Various statistical methods have been available to deal with missing data problems, but the difficulty is that they are based on somewhat restrictive assumptions that missing patterns are known or can be modeled with auxiliary information. This paper treats the presence of missing cases from the viewpoint that generalization as a sample does not…
Descriptors: Data Collection, Regression (Statistics), Research Methodology, Statistical Inference