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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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Piquero, Nicole Leeper; Carmichael, Stephanie; Piquero, Alex R. – Crime & Delinquency, 2008
Controversy surrounds the ranking of crime seriousness of white-collar crimes relative to street crimes, with early research suggesting the general public is indifferent to crimes of the elite, whereas more recent research indicates that the public thinks certain types of white-collar crime are serious. Building on prior research limitations and…
Descriptors: Crime, Social Indicators, Probability, White Collar Occupations
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Ruscio, John – Psychological Methods, 2008
Calculating and reporting appropriate measures of effect size are becoming standard practice in psychological research. One of the most common scenarios encountered involves the comparison of 2 groups, which includes research designs that are experimental (e.g., random assignment to treatment vs. placebo conditions) and nonexperimental (e.g.,…
Descriptors: Psychological Studies, Effect Size, Probability, Correlation
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Seaman, Samuel; And Others – 1984
The probability of obtaining a significant statistic, using the parametric analysis of covariance (ANCOVA) and the rank transform ANCOVA, was estimated for three conditions defined in terms of conditional distributions for two groups. The distributions were both normal, both skewed in the same direction but to different degrees, or both skewed to…
Descriptors: Analysis of Covariance, Correlation, Hypothesis Testing, Probability
Ellett, Frederick S., Jr.; Ericson, David P. – 1983
Several steps are taken to develop methods for analyzing systems that involve probabilistic causation. The basic ideas and distinctions are illustrated for systems with dichotomous variables. It is shown that these basic ideas have analogous counterparts in causal systems with continuous variables. By using a generalized conditional probability…
Descriptors: Correlation, Mathematical Models, Measurement Techniques, Path Analysis
Uebersax, John; Grove, Will – 1989
Methods of probability modeling to analyze rater agreement are described, emphasizing their basic similarities and viewing them as variants of a common methodology. Statistical techniques for analyzing agreement data are described to address questions such as how many opinions are required to make a medical diagnosis with necessary accuracy. Kappa…
Descriptors: Clinical Diagnosis, Correlation, Estimation (Mathematics), Evaluation Methods
Coughlin, Mary Ann; Pagano, Marian – 1997
This monograph covers the theory, application, and interpretation of both descriptive and inferential statistical techniques in institutional research. Each chapter opens with a hypothetical case study, which is used to illustrate the application of one or more statistical procedures to typical research questions. Chapter 2 covers the comparison…
Descriptors: Analysis of Covariance, Analysis of Variance, Chi Square, Correlation