Categorical Data Analysis Using The Analyst Application

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An Introduction to Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 393 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Categorical Data Analysis With Sas and Spss Applications

Author : Bayo Lawal
Publisher : Psychology Press
ISBN 13 : 1135623295
Total Pages : 830 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Categorical Data Analysis With Sas and Spss Applications by : Bayo Lawal

Download or read book Categorical Data Analysis With Sas and Spss Applications written by Bayo Lawal and published by Psychology Press. This book was released on 2003-10-17 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. This is accomplished through the frequent use of examples, with relevant codes and instructions, that are closely related to the problems in the text. Concepts are explained in detail so that students can reproduce similar results on their own. Beginning with chapter two, exercises at the end of each chapter further strengthen students' understanding of the concepts by requiring them to apply some of the ideas expressed in the text in a more advanced capacity. Most of these exercises require intensive use of PC-based statistical software. Numerous tables with results of analyses, including interpretations of the results, further strengthen students' understanding of the material. Categorical Data Analysis With SAS(R) and SPSS Applications features: *detailed programs and outputs of all examples illustrated in the book using SAS(R) 8.02 and SPSS on the book's CD; *detailed coverage of topics often ignored in other books, such as one-way classification (ch. 3), the analysis of doubly classified data (ch. 11), and generalized estimating equations (ch. 12); and *coverage of SAS(R) PROC FREQ, GENMOD, LOGISTIC, PROBIT, and CATMOD, as well as SPSS PROC CROSSTABS, GENLOG, LOGLINEAR, PROBIT, LOGISTIC, NUMREG, and PLUM. This book is ideal for upper-level undergraduate or graduate-level courses on categorical data analysis taught in departments of biostatistics, statistics, epidemiology, psychology, sociology, political science, and education. A prerequisite of one year of calculus and statistics is recommended. The book has been class tested by graduate students in the department of biometry and epidemiology at the Medical University of South Carolina.

Categorical Data Analysis Using SAS, Third Edition

Author : Maura E. Stokes
Publisher : SAS Institute
ISBN 13 : 1629590355
Total Pages : 588 pages
Book Rating : 4.6/5 (295 download)

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Book Synopsis Categorical Data Analysis Using SAS, Third Edition by : Maura E. Stokes

Categorical Data Analysis Using SAS, Third Edition

Author : Maura E. Stokes
Publisher : SAS Institute
ISBN 13 : 1612900909
Total Pages : 589 pages
Book Rating : 4.6/5 (129 download)

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Book Synopsis Categorical Data Analysis Using SAS, Third Edition by : Maura E. Stokes

Download or read book Categorical Data Analysis Using SAS, Third Edition written by Maura E. Stokes and published by SAS Institute. This book was released on 2012-07-31 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay analysis. The third edition updates the use of SAS/STAT software to SAS/STAT 12.1 and incorporates ODS Graphics. Many additional SAS statements and options are employed, and graphs such as effect plots, odds ratio plots, regression diagnostic plots, and agreement plots are discussed. The material has also been revised and reorganized to reflect the evolution of categorical data analysis strategies. Additional techniques include such topics as exact Poisson regression, partial proportional odds models, Newcombe confidence intervals, incidence density ratios, and so on. This book is part of the SAS Press program.

Statistical Methods for Categorical Data Analysis

Author : Daniel Powers
Publisher : Emerald Group Publishing
ISBN 13 : 1781906599
Total Pages : 330 pages
Book Rating : 4.7/5 (819 download)

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Book Synopsis Statistical Methods for Categorical Data Analysis by : Daniel Powers

Download or read book Statistical Methods for Categorical Data Analysis written by Daniel Powers and published by Emerald Group Publishing. This book was released on 2008-11-13 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/

Latent Class and Latent Transition Analysis

Author : Linda M. Collins
Publisher : John Wiley & Sons
ISBN 13 : 111821076X
Total Pages : 273 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Latent Class and Latent Transition Analysis by : Linda M. Collins

Download or read book Latent Class and Latent Transition Analysis written by Linda M. Collins and published by John Wiley & Sons. This book was released on 2013-05-20 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data. The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring: A complete treatment of longitudinal latent class models Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution Use of parameter restrictions and detection of identification problems Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates The authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a "Points to Remember" section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations. Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.

SAS Certification Prep Guide

Author : Joni N. Shreve
Publisher : SAS Institute
ISBN 13 : 1635263506
Total Pages : 588 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis SAS Certification Prep Guide by : Joni N. Shreve

Download or read book SAS Certification Prep Guide written by Joni N. Shreve and published by SAS Institute. This book was released on 2018-12-18 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam! Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam. The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader’s comprehension of the material presented. Major topics include: ANOVA Linear Regression Logistic Regression Inputs for Predictive Modeling Model Performance For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics. Appendices can be found here.

Analysis of Categorical Data with R

Author : Christopher R. Bilder
Publisher : CRC Press
ISBN 13 : 1040087744
Total Pages : 706 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Analysis of Categorical Data with R by : Christopher R. Bilder

Download or read book Analysis of Categorical Data with R written by Christopher R. Bilder and published by CRC Press. This book was released on 2024-07-31 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated. Features: Requires no prior experience with R, and offers an introduction to the essential features and functions of R Includes numerous examples from medicine, psychology, sports, ecology, and many other areas Integrates extensive R code and output Graphically demonstrates many of the features and properties of various analysis methods Offers a substantial number of exercises in all chapters, enabling use as a course text or for self-study Supplemented by a website with data sets, code, and teaching videos Analysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.

Excel Data Analysis

Author : Hector Guerrero
Publisher : Springer
ISBN 13 : 3030012794
Total Pages : 358 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Excel Data Analysis by : Hector Guerrero

Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

Human Resource Management

Author : Talya Bauer
Publisher : SAGE Publications
ISBN 13 : 1071876864
Total Pages : 641 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Human Resource Management by : Talya Bauer

Download or read book Human Resource Management written by Talya Bauer and published by SAGE Publications. This book was released on 2023-09-04 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics, Second Edition introduces students to the fundamentals of talent management with integrated coverage of analytics in every chapter. Features tied to SHRM competencies and data exercises give students hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent across the lifecycle in the changing workplace. This title is accompanied by a complete teaching and learning package. Contact your Sage representative to request a demo. Learning Platform / Courseware Sage Vantage is an intuitive learning platform that integrates quality Sage textbook content with assignable multimedia activities and auto-graded assessments to drive student engagement and ensure accountability. Unparalleled in its ease of use and built for dynamic teaching and learning, Vantage offers customizable LMS integration and best-in-class support. It’s a learning platform you, and your students, will actually love. Learn more. Assignable Video with Assessment Assignable video (available in Sage Vantage) is tied to learning objectives and curated exclusively for this text to bring concepts to life. Watch a sample video now. LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more.

Making Sense of Multivariate Data Analysis

Author : John Spicer
Publisher : SAGE
ISBN 13 : 9781412904018
Total Pages : 256 pages
Book Rating : 4.9/5 (4 download)

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Book Synopsis Making Sense of Multivariate Data Analysis by : John Spicer

Download or read book Making Sense of Multivariate Data Analysis written by John Spicer and published by SAGE. This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.

Handbook of Statistical Analysis and Data Mining Applications

Author : Ken Yale
Publisher : Elsevier
ISBN 13 : 0124166458
Total Pages : 824 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Ken Yale

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale and published by Elsevier. This book was released on 2017-11-09 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

R Data Analysis without Programming

Author : David W. Gerbing
Publisher : Routledge
ISBN 13 : 131793167X
Total Pages : 312 pages
Book Rating : 4.3/5 (179 download)

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Book Synopsis R Data Analysis without Programming by : David W. Gerbing

Download or read book R Data Analysis without Programming written by David W. Gerbing and published by Routledge. This book was released on 2013-12-13 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing developed lessR. LessR extensions remove the need to program. By introducing R through less R, readers learn how to organize data for analysis, read the data into R, and produce output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables without programming. The text reviews basic statistical procedures with the lessR enhancements added to the standard R environment. Through the use of lessR, R becomes immediately accessible to the novice user and easier to use for the experienced user. Highlights of the book include: Quick Starts that introduce readers to the concepts and commands reviewed in the chapters. Margin notes that highlight,define,illustrate,and cross-reference the key concepts.When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction. Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output. Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate how to interpret results. Two data sets provided on the website and analyzed multiple times in the book, provide continuity throughout. End of chapter worked problems help readers test their understanding of the concepts. A website at www.lessRstats.com that features the lessR program, the book’s data sets referenced in standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, PDF slides for each chapter, solutions to the book’s worked problems, links to R/lessR videos to help readers better understand the program, and more. An ideal supplement for graduate or advanced undergraduate courses in statistics, research methods, or any course in which R is used, taught in departments of psychology, business, education, and other social and health sciences, this book is also appreciated by researchers interested in using R for their data analysis. Prerequisites include basic statistical knowledge. Knowledge of R is not assumed.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Author : Patil, Bhushan
Publisher : IGI Global
ISBN 13 : 1799830543
Total Pages : 583 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by : Patil, Bhushan

Download or read book Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics written by Patil, Bhushan and published by IGI Global. This book was released on 2020-10-23 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Algorithms - ESA 2002

Author : Rolf Möhring
Publisher : Springer
ISBN 13 : 3540457496
Total Pages : 940 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Algorithms - ESA 2002 by : Rolf Möhring

Download or read book Algorithms - ESA 2002 written by Rolf Möhring and published by Springer. This book was released on 2003-08-02 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the 74 contributed papers and abstracts of 4 of the 5 invited talks presented at the 10th Annual European Symposium on Algorithms (ESA 2002), held at the University of Rome “La Sapienza”, Rome, Italy, 17-21 September, 2002. For the ?rst time, ESA had two tracks, with separate program committees, which dealt respectively with: – the design and mathematical analysis of algorithms (the “Design and An- ysis” track); – real-world applications, engineering and experimental analysis of algorithms (the “Engineering and Applications” track). Previous ESAs were held in Bad Honnef, Germany (1993); Utrecht, The Neth- lands (1994); Corfu, Greece (1995); Barcelona, Spain (1996); Graz, Austria (1997); Venice, Italy (1998); Prague, Czech Republic (1999); Saarbruc ̈ ken, Ger- ? many (2000), and Arhus, Denmark (2001). The predecessor to the Engineering and Applications track of ESA was the Annual Workshop on Algorithm En- neering (WAE). Previous WAEs were held in Venice, Italy (1997), Saarbruc ̈ ken, ? Germany (1998), London, UK (1999), Saarbru ̈cken, Germany (2000), and Arhus, Denmark (2001). The proceedings of the previous ESAs were published as Springer LNCS volumes 726, 855, 979, 1284, 1461, 1643, 1879, and 2161. The proceedings of WAEs from 1999 onwards were published as Springer LNCS volumes 1668, 1982, and 2161.

Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory

Author : I.B. MacNeill
Publisher : Springer Science & Business Media
ISBN 13 : 9789027723932
Total Pages : 368 pages
Book Rating : 4.7/5 (239 download)

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Book Synopsis Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory by : I.B. MacNeill

Download or read book Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory written by I.B. MacNeill and published by Springer Science & Business Media. This book was released on 1986-12-31 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro fessor V. M. Joshi. These symposia were chosen to reflect Professor Joshi's research interests as well as areas of expertise in statistical science among faculty in the Departments of Statistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six volumes which comprise the "Joshi Festschrift" have arisen. The 117 articles in this work reflect the broad interests and high quality of research of those who attended our conference. We would like to thank all of the contributors for their superb cooperation in helping us to complete this project. Our deepest gratitude must go to the three people who have spent so much of their time in the past year typing these volumes: Jackie Bell, Lise Constant, and Sandy Tarnowski. This work has been printed from "carnera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes in the use of this system. Thank you, Jackie, Lise, and Sandy, for having the persistence and dedication needed to complete this undertaking.

Democratic Institutions and Authoritarian Rule in Southeast Europe

Author : Danijela Dolenec
Publisher : ECPR Press
ISBN 13 : 178552108X
Total Pages : 197 pages
Book Rating : 4.7/5 (855 download)

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Book Synopsis Democratic Institutions and Authoritarian Rule in Southeast Europe by : Danijela Dolenec

Download or read book Democratic Institutions and Authoritarian Rule in Southeast Europe written by Danijela Dolenec and published by ECPR Press. This book was released on 2017-05-19 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Josip Broz Tito's saying that 'one should not hold on to the law like a drunken man holds on to a fence' remains a valid piece of popular wisdom today, encapsulating the problem of weak rule of law in Southeast European societies. This book poses the question of why democratisation in Southeast Europe disappointed initial expectations, and claims that it is caused by the dominance of authoritarian parties over regime change. Their rule established nondemocratic governance practices that continue to subvert rule of law principles, more than twenty years after the collapse of communism. The unique contribution of this book is in providing empirical evidence for the argument that post-socialist transformation proceeded in a double movement, whereby advances to formal democratic institutions were subverted through nondemocratic rule. This misfit helps explain why improvements to formal democratic institutions did not result in expected democratisation advances.