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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
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Dunst, Carl J.; Hamby, Deborah W. – Journal of Intellectual & Developmental Disability, 2012
This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…
Descriptors: Intervals, Developmental Disabilities, Statistical Significance, Effect Size
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Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases
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Markus, Keith A. – Multivariate Behavioral Research, 2008
One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…
Descriptors: Research Design, Structural Equation Models, Data Analysis, Causal Models
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Xu, Yonghong Jade; Ishitani, Terry T. – New Directions for Institutional Research, 2008
In recent years, rapid advancement has taken place in computing technology that allows institutional researchers to efficiently and effectively address data of increasing volume and structural complexity (Luan, 2002). In this chapter, the authors propose a new data analytical technique, Bayesian belief networks (BBN), to add to the toolbox for…
Descriptors: Institutional Research, Classification, Researchers, College Faculty
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Mansbridge, John – Library and Information Science Research, 1986
Examines library availability studies for the past 50 years as a measure of library effectiveness and looks at their differing sources of study samples, methods for gathering data, categories of nonavailability, and data analysis. The Kantor branching technique developed in 1976 is described as the standard analysis method. (Author/EM)
Descriptors: Data Analysis, History, Library Materials, Library Research
National Assessment of Educational Progress, Princeton, NJ. – 1988
The National Assessment of Educational Progress (NAEP) reports on the status and progress of educational achievement in the United States. Based on its surveys, "The Nation's Report Card" provides comprehensive information about what students in the United States can do in various subject areas. The framework for the 1990 mathematics…
Descriptors: Algebra, Data Analysis, Educational Assessment, Elementary School Mathematics