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Mathematics --- Research --- Study and teaching --- United States --- Math --- Science --- 51-77 --- Mathematics for behavioural and social sciences --- Didactics of mathematics

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"Preface We are surrounded by missing data. Problems created by missing data in statistical analysis have long been swept under the carpet. These times are now slowly coming to an end. The array of techniques to deal with missing data has expanded considerably during the last decennia. This book is about one such method: multiple imputation. Multiple imputation is one of the great ideas in statistical science. The technique is simple, elegant and powerful. It is simple because it flls the holes in the data with plausible values. It is elegant because the uncertainty about the unknown data is coded in the data itself. And it is powerful because it can solve 'other' problems that are actually missing data problems in disguise. Over the last 20 years, I have applied multiple imputation in a wide variety of projects. I believe the time is ripe for multiple imputation to enter mainstream statistics. Computers and software are now potent enough to do the required calculations with little e ort. What is still missing is a book that explains the basic ideas, and that shows how these ideas can be put to practice. My hope is that this book can ll this gap. The text assumes familiarity with basic statistical concepts and multivariate methods. The book is intended for two audiences: - (bio)statisticians, epidemiologists and methodologists in the social and health sciences; - substantive researchers who do not call themselves statisticians, but who possess the necessary skills to understand the principles and to follow the recipes. In writing this text, I have tried to avoid mathematical and technical details as far as possible. Formula's are accompanied by a verbal statement that explains the formula in layman terms"--

Multivariate analysis --- Multiple imputation (Statistics) --- Missing observations (Statistics) --- 51-77 --- 519.23 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Imputation, Multiple (Statistics) --- Monte Carlo method --- Data, Missing (Statistics) --- Missing data (Statistics) --- Missing values (Statistics) --- Observations, Missing (Statistics) --- Values, Missing (Statistics) --- Estimation theory --- Mathematics for behavioural and social sciences

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Mathematical statistics --- Social sciences --- Missing observations (Statistics) --- Statistical methods. --- Research --- Methodology. --- kwantitatieve methoden --- dataverwerking --- maatschappijwetenschappen, methoden --- waarschijnlijkheidsleer --- wiskundige statistiek --- 51-77 --- 303 --- Mathematics for behavioural and social sciences --- Methoden bij sociaalwetenschappelijk onderzoek --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Data, Missing (Statistics) --- Missing data (Statistics) --- Missing values (Statistics) --- Observations, Missing (Statistics) --- Values, Missing (Statistics) --- Estimation theory --- Multivariate analysis --- Multiple imputation (Statistics) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- Methodology --- Statistical methods

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Illustrated with screenshots, cases and exercises and accompanied by a companion website containing datasets that can be easily uploaded onto SPSS and AMOS, this title keeps maths to a minimum and contains an appendix covering basic forms of statistical analysis.

51-77 --- 303 --- 681.3*G3 --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Methoden bij sociaalwetenschappelijk onderzoek --- Mathematics for behavioural and social sciences --- Amos (computerprogramma) --- Structurele vergelijkingen. --- Amos (computerprogramma). --- SPSS. --- Structural equation modeling --- Data processing. --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Data processing --- #SBIB:303H4 --- #SBIB:303H520 --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- SPSS (Computer file) --- AMOS.