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Applied Missing Data Analysis


Author : Craig K. Enders
language : en
Publisher: Guilford Press
Release Date : 2010-04-23


PDF Download Applied Missing Data Analysis Books For free written by Craig K. Enders and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-23 with Psychology categories.


Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists. This book will appeal to researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science. It will also serve as a supplemental text for doctoral-level courses or seminars in advanced quantitative methods, survey analysis, longitudinal data analysis, and multilevel modeling, and as a primary text for doctoral-level courses or seminars in missing data.

Missing Data


Author : John W. Graham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-08


PDF Download Missing Data Books For free written by John W. Graham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-08 with Social Science categories.


Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking. The objective of Missing Data: Analysis and Design is to enable investigators who are non-statisticians to implement modern missing data procedures properly in their research, and reap the benefits in terms of improved accuracy and statistical power. Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. The author lays out missing data theory in a plain English style that is accessible and precise. Most analysis described in the book are conducted using the well-known statistical software packages SAS and SPSS, supplemented by Norm 2.03 and associated Java-based automation utilities. A related web site contains free downloads of the supplementary software, as well as sample empirical data sets and a variety of practical exercises described in the book to enhance and reinforce the reader’s learning experience. Missing Data: Analysis and Design and its web site work together to enable beginners to gain confidence in their ability to conduct missing data analysis, and more advanced readers to expand their skill set.

Applied Multivariate Statistics For The Social Sciences


Author : Keenan A. Pituch
language : en
Publisher: Routledge
Release Date : 2015-12-07


PDF Download Applied Multivariate Statistics For The Social Sciences Books For free written by Keenan A. Pituch and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-07 with Psychology categories.


Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Survey Methodology And Missing Data


Author : Seppo Laaksonen
language : en
Publisher: Springer
Release Date : 2018-08-09


PDF Download Survey Methodology And Missing Data Books For free written by Seppo Laaksonen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-09 with Social Science categories.


This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Empirische Forschung Ber Kriminalit T


Author : Stefanie Eifler
language : de
Publisher: Springer-Verlag
Release Date : 2014-09-22


PDF Download Empirische Forschung Ber Kriminalit T Books For free written by Stefanie Eifler and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-22 with Social Science categories.


Die empirische Forschung über Kriminalität steht vor methodologischen und methodischen Herausforderungen, die eine kontinuierliche Weiterentwicklung und Überprüfung von Verfahren der Datenerhebung und Datenanalyse erfordern. Der vorliegende Band bietet einen Überblick über die aktuellen Entwicklungen von Methoden der empirischen Sozialforschung zur Analyse der Kriminalität als sozialer Erscheinung. Methodologische Grundlagen einer Theorie geleiteten empirischen Analyse der Kriminalität werden dabei ebenso betrachtet wie die methodischen Grundlagen der empirischen Forschung über Kriminalität. Im Mittelpunkt stehen aktuelle Lösungsansätze für klassische Problemfelder der empirischen Forschung über Kriminalität, wie die Betrachtung von Kriminalität in Hell- und Dunkelfeld, die Anwendung experimenteller und nicht-experimenteller Forschungsdesigns und die Analyse von Kriminalität in Bezug auf Raum und Zeit im Rahmen von Mehrebenenanalysen und Wachstumskurvenmodellen.

Longitudinal Data Analysis


Author : Jason Newsom
language : en
Publisher: Routledge
Release Date : 2013-06-19


PDF Download Longitudinal Data Analysis Books For free written by Jason Newsom and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-19 with Psychology categories.


This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Applications Of Research Methodology


Author : Thomas E. Scruggs
language : en
Publisher: Emerald Group Publishing
Release Date : 2006-04-26


PDF Download Applications Of Research Methodology Books For free written by Thomas E. Scruggs and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-26 with Education categories.


Research in learning and behavioral disabilities, employing a variety of methods and techniques, has provided information relevant to practitioners. This volume discusses, applies and evaluates different methodological approaches to learning and behavioral disorder research; and serves as a reference to educators, researchers, and others.