Statistical disclosure techniques based on multiple imputation

Archived Abstract of Former PSC Researcher

Little, Roderick J., F. Liu, and Trivellore Raghunathan. 2004. "Statistical disclosure techniques based on multiple imputation." In Applied Bayesian modeling and causal inference from incomplete perspectives edited by Gelman, Andrew. Chichester: Wiley, Projected Date: 200408.

Modeling: Mixture Models. Structural Equation Modeling: Multilevel. Structural Equation Modeling: Nontraditional Alternatives. Structural Equation Modeling: Overview. Structural Equation Modeling: Software. Structural Equation Modeling:Latent Growth Curve Analysis. Structural Equation Modeling:Nonstandard Cases. Structural Zeros. Subjective Probability and Human Judgement. Summary Measure Analysis of Longitudinal Data. Survey Questionnaire Design. Survey Sampling Procedures. Survival Analysis. Symmetry Plot. Symmetry: Distribution Free Tests for. Tau-Equivalent and Congeneric Measurements. Teaching Statistics to Psychologists. Teaching Statistics: Sources. Telephone Surveys. Test Bias Detection. Test Construction . Test Construction: Automated. Test Dimensionality: Assessment of. Test Translation. Tetrachoric Correlation. Theil Slope Estimate. Thomson, Godfrey Hilton. Three dimensional (3D) Scatterplots. Three-Mode Component and Scaling Methods. Thurstone, Louis Leon. Time Series Analysis. Tolerance and Variance Inflation Factor. Transformation. Tree Models . Trellis Graphics. Trend Tests for Counts and Proportions. Trimmed Means. T-Scores. Tukey Quick Test. Tukey, John Wilder. Tversky, Amos. Twin Designs. Twins Reared Apart Design. Two by Two Contingency Tables. Two-mode Clustering. Two-way Factorial: Distribution-Free Methods. Type I, Type II and Type III Sums of Squares. Ultrametric Inequality. Ultrametric Trees. Unidimensional Scaling. Urban, F M. Utility Theory. Validity Theory and Applications. Variable Selection. Variance. Variance Components. Walsh Averages. Wiener, Norbert. Wilcoxon, Frank. Wilcoxon-Mann-Whitney test. Winsorized Robust Measures. Within Case Designs: Distribution Free Methods. Yates' Correction. Yates, Frank. Yule, George Udny. Z-Scores. ( ) Excerpt Encyclopedia of Statistics in Behavioral Science By Brian Everitt John Wiley & Sons ISBN: 0-470-86080-4 Chapter One Cohen, Jacob Jacob Cohen's contributions to statistical analysis in the behavioral sciences reflected his lifelong perspective as a data-analyst, insisting that the role of statistics was to help scientists answer the questions motivating any given study, and that there was no substitute for human judgment in this process. Cohen's best-known contributions began when he called attention to the poor statistical power of much psychological research and developed readily applied methods of estimating such power in planned research. Such estimates were necessarily based on the probability of rejecting the null hypothesis with an acceptably low level of statistical significance (alpha level). Ironically, among his last contributions to methodological developments in the field was a rejection of a statistical criterion as the central basis for interpreting study findings. Cohen entered City College of New York (CCNY) at the age of 15, following graduation from Townsend Harris High School in New York. After two years of dismal performance (except in ping pong), he worked in war-related occupations and then enlisted in the Army Intelligence Service in time to participate in the final year of World War II in France. Upon returning to the US, he completed his undergraduate education at CCNY (1947) and his doctoral degree in clinical psychology at New York University (1950), writing a dissertation based on factor analyses of the Wechsler IQ test in samples of patients and comparison groups. In the beginning, during his studies, Cohen carried out research in the Veteran's Administration and continued thereafter as staff psychologist and director of research while also teaching on a part-time basis. During those years, he developed Cohen's kappa statistic (see Rater Agreement-Kappa), a measure of chance-corrected agreement later further elaborated to take partial agreement into account. In 1959, he was appointed to full-time faculty status in the psychology department at New York University, where he remained as head of quantitative psychology until his retirement in 1993. Throughout these years and until his death, Cohen consulted on research design and data analysis at nearly every behavioral research and university site in the city, especially at New York State Psychiatric Institute. He was president of the Society for Multivariate Experimental Psychology in 1969 and honored with a lifetime achievement award by Division 7 of the American Psychological Association in 1997. Cohen's first widely influential work followed an analysis of the statistical power of studies published in the 1960 Journal of Abnormal and Social Psychology. His development of rough norms for small, medium, and large effect sizes and easily used methods for estimating statistical power for a planned study made his book Statistical Power Analysis for the Behavioral Sciences the classic in its field, with widely used subsequent editions and eventually computer programs. His second major contribution to the field was the adoption of multiple regression analysis as a general data analytic system. In these books and articles, Cohen employed the accessible language and conversational style that also made his work, particularly his 1990 'Things I have learned (so far)' and 1994 'The earth is round (p (Continues...) Excerpted from Encyclopedia of Statistics in Behavioral Science by Brian Everitt Excerpted by permission. All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher. Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site. Applied Bayesian modeling and causal inference from incomplete perspectives / Andrew Gelman 2004 English Book 360 p. Chichester : Wiley, ; ISBN: 047009043X (hbk.) : 9780470090435 (hbk.)

ISBN: 047009043X (hbk.) :; 9780470090435 (hbk.); National Library: 012929792

360 Bayesian statistical decision theory Mathematical statistics

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