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Cover for 9780190258733 Cover for 9780190258740 Cover for 9781506303475 Cover for 9781593277284 Cover for 9781498720960 Cover for 9780131367739 Cover for 9780134182742 Cover for 9780321064813 Cover for 9780321316493 Cover for 9780321369260 Cover for 9780673525611 Cover for 9780805817669 Cover for 9780805840179 Cover for 9781138811904 Cover for 9781841698908 Cover for 9780805817676 Cover for 9780805840186 Cover for 9781138811935 Cover for 9781841698915 Cover for 9780534922382 Cover for 9780813937366 Cover for 9781498709576 Cover for 9781483381473 Cover for 9781138810532 Cover for 9781138812512 Cover for 9780230290396 Cover for 9781137375018 Cover for 9780470014967 Cover for 9781119945499 Cover for 9780387202754 Cover for 9781461413523 Cover for 9781441919052 Cover for 9780470384428 Cover for 9781466569737 Cover for 9781466584327 Cover for 9781439887332 Cover for 9781118764046 Cover for 9780471663799 Cover for 9780471879572 Cover for 9781118386088 Cover for 9781119975281 Cover for 9780471232223 Cover for 9780471592822 Cover for 9781118329504 Cover for 9780471458623 Cover for 9781452234953
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Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. This book introduces the underlying econometric and statistical ideas, shows what is identified and how the identified parameters are estimated, and illustrates how they are applied with real empirical examples. Lee emphasizes how to implement the three methods with data: data and programs are provided in a useful online appendix. All readers-theoretical econometricians/statisticians, applied economists/social-scientists and researchers/students-will find something useful in the book from different perspectives.

Hardcover:

9780190258733 | Oxford Univ Pr, June 1, 2016, cover price $99.00 | About this edition: Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences.

Paperback:

9780190258740 | Reprint edition (Oxford Univ Pr, June 1, 2016), cover price $39.95

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Hardcover:

9780131367739, titled "Using Econometrics: A Practical Guide" | 6 edition (Prentice Hall, January 1, 2010), cover price $280.60
9780321316493, titled "Using Econometrics: A Practical Guide" | 5th edition (Addison-Wesley, June 3, 2005), cover price $200.00
9780321369260, titled "Using Econometrics: A Practical Guide" | 5 pck edition (Prentice Hall, April 1, 2005), cover price $228.00
9780321064813, titled "Using Econometrics: A Practical Guide" | 4th edition (Addison-Wesley, July 1, 2000), cover price $130.67
9780673525611 | 3 edition (Addison-Wesley, January 1, 1997), cover price $0.11
2 other edition(s) in this binding (see all)

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Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.

Hardcover:

9781138811904, titled "A Beginner's Guide to Structural Equation Modeling" | 4th edition (Routledge, December 18, 2015), cover price $160.00 | About this edition: Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM).
9781841698908, titled "A Beginner's Guide to Structural Equation Modeling: Third Edition" | 3 edition (Routledge Academic, April 22, 2010), cover price $140.00 | About this edition: This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research.
9780805840179, titled "A Beginner's Guide to Structural Equation Modeling" | 2 har/cdr edition (Psychology Pr, May 5, 2004), cover price $145.00 | About this edition: The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.
9780805817669, titled "A Beginner's Guide to Structural Equation Modeling" | Lawrence Erlbaum Assoc Inc, April 1, 1996, cover price $79.95 | About this edition: This book reviews correlation and covariance among variables, followed by multiple regression and path analysis techniques to better understand the building blocks of structural equation modeling.

Paperback:

9781138811935, titled "A Beginner's Guide to Structural Equation Modeling" | 4th edition (Routledge, December 22, 2015), cover price $64.95
9781841698915, titled "A Beginner's Guide to Structural Equation Modeling: Third Edition" | 3 edition (Routledge Academic, April 22, 2010), cover price $66.95 | About this edition: This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research.
9780805840186, titled "A Beginner's Guide to Structural Equation Modeling" | 2 pap/cdr edition (Psychology Pr, June 30, 2004), cover price $78.95 | About this edition: The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.
9780805817676, titled "A Beginner's Guide to Structural Equation Modeling" | Lawrence Erlbaum Assoc Inc, April 1, 1996, cover price $39.95 | About this edition: This book reviews correlation and covariance among variables, followed by multiple regression and path analysis techniques to better understand the building blocks of structural equation modeling.

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Hardcover:

9780813937366 | Univ of Virginia Pr, September 21, 2015, cover price $25.00
9780534922382, titled "Applied Regression Analysis for Business and Economics" | Wadsworth Pub Co, September 1, 1995, cover price $133.95 | also contains Applied Regression Analysis for Business and Economics

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Product Description: Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports...read more

Paperback:

9781498709576 | Chapman & Hall, July 9, 2015, cover price $49.95 | About this edition: Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable.

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Product Description: Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature...read more

Hardcover:

9781138810532 | 2 revised edition (Routledge, March 17, 2015), cover price $235.00 | About this edition: Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

Paperback:

9781138812512 | 2 edition (Routledge, March 17, 2015), cover price $139.95 | About this edition: Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

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Product Description: The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step...read more

Paperback:

9781137375018 | 2 edition (Palgrave Macmillan, December 4, 2014), cover price $73.00 | About this edition: The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics.
9780230290396 | Palgrave Macmillan, April 15, 2011, cover price $75.00 | About this edition: Damodar Gujarati is the author of bestselling econometrics textbooks used around the world.

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Product Description: Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained...read more

Hardcover:

9781119945499 | 2 edition (John Wiley & Sons Inc, November 17, 2014), cover price $109.00 | About this edition: Mixed modelling is very useful, and easier than you think!
9780470014967 | John Wiley & Sons Inc, November 17, 2006, cover price $113.00 | About this edition: Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects.

Miscellaneous:

9780470035962 | John Wiley & Sons Inc, June 25, 2007, cover price $100.00

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Hardcover:

9781461413523 | 2 edition (Springer Verlag, September 1, 2011), cover price $119.00 | About this edition: This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.
9780387202754 | Springer Verlag, December 30, 2004, cover price $129.00 | About this edition: Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes.

Paperback:

9781489998545 | 2 edition (Springer Verlag, April 13, 2014), cover price $119.00
9781441919052 | Springer Verlag, December 30, 2004, cover price $129.00 | About this edition: Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes.

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Product Description: A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data...read more

Hardcover:

9780470384428 | Wiley-Interscience, May 27, 2014, cover price $115.00 | About this edition: A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data.

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Product Description: Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories...read more

Hardcover:

9781466569737 | Chapman & Hall, April 5, 2016, cover price $79.95 | About this edition: Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories.

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Product Description: Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data...read more

Hardcover:

9781466584327 | Chapman & Hall, February 24, 2014, cover price $89.95 | About this edition: Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.

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Hardcover:

9781439887332 | 2 revised edition (Chapman & Hall, July 1, 2014), cover price $89.95

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Product Description: Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no “one size fits all” approach to growth measurement...read more

Hardcover:

9781118764046 | John Wiley & Sons Inc, January 13, 2014, cover price $139.00 | About this edition: Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no “one size fits all” approach to growth measurement.

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Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: "I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression." —Technometrics, February 1987 "Overall, I feel that the book is a valuable addition to the now considerable list of texts on applied linear regression. It should be a strong contender as the leading text for a first serious course in regression analysis." —American Scientist, May–June 1987 Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. The Third Edition incorporates new material reflecting the latest advances, including: Use of smoothers to summarize a scatterplot Box-Cox and graphical methods for selecting transformations Use of the delta method for inference about complex combinations of parameters Computationally intensive methods and simulation, including the bootstrap method Expanded chapters on nonlinear and logistic regression Completely revised chapters on multiple regression, diagnostics, and generalizations of regression Readers will also find helpful pedagogical tools and learning aids, including: More than 100 exercises, most based on interesting real-world data Web primers demonstrating how to use standard statistical packages, including R, S-Plus®, SPSS®, SAS®, and JMP®, to work all the examples and exercises in the text A free online library for R and S-Plus that makes the methods discussed in the book easy to use With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems.

Hardcover:

9781118386088 | 4th edition (John Wiley & Sons Inc, December 23, 2013), cover price $140.00
9780471663799 | 3 edition (John Wiley & Sons Inc, February 11, 2005), cover price $162.00 | About this edition: Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: "I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new .
9780471879572 | 2 sub edition (John Wiley & Sons Inc, August 1, 1985), cover price $129.00

Miscellaneous:

9780471704089 | 3 edition (John Wiley & Sons Inc, April 1, 2005), cover price $142.00

Miscellaneous:

9780471704096 | 3 onl edition (Wiley-Interscience, March 28, 2005), cover price $135.00

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Product Description: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods...read more

Hardcover:

9781119975281 | John Wiley & Sons Inc, December 31, 2013, cover price $106.95 | About this edition: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.

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Product Description: Praise for the Second Edition "An essential desktop reference book . . . it should definitely be on your bookshelf."—Technometrics A thoroughly updated book, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition features innovative approaches to understanding and working with models and theory of linear regression...read more

Hardcover:

9781118329504 | 3 edition (John Wiley & Sons Inc, August 5, 2013), cover price $150.00 | About this edition: Praise for the Second Edition "An essential desktop reference book .
9780471232223 | 2 sub edition (Wiley-Interscience, April 7, 2003), cover price $192.00 | About this edition: A popular statistical text now updated and better than ever!
9780471592822 | Wiley-Interscience, May 1, 1996, cover price $105.00

Miscellaneous:

9780471458623 | 2 edition (Wiley-Interscience, February 4, 2005), cover price $166.00

Miscellaneous:

9780471434153 | 2 onl edition (John Wiley & Sons Inc, February 7, 2005), cover price $148.50

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Product Description: Heteroskedasticity in Regression: Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction...read more

Paperback:

9781452234953 | 1 edition (Sage Pubns, June 28, 2013), cover price $20.00 | About this edition: Heteroskedasticity in Regression: Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction.

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