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ENGLISH

Propensity Score Analysis - Statistical Methods And Applications

by Mark W. Fraser e Shenyang Guo

93,15€ + 10% CARD

 Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
ENGLISH

Interaction Effects In Linear And Generalized Linear Models - Examples And Applications Using Stata

by Robert L. Kaufman

91,43€ + 10% CARD

 Offering a clear set of workable examples with data and explanations,Â Interaction Effects in Linear and Generalized Linear ModelsÂ is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
ENGLISH

Spatial Regression Models For The Social Sciences

by Guangqing Chi e Jun Zhu

75,53€ + 10% CARD

 Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.
ENGLISH

Interaction Effects In Linear And Generalized Linear Models - Examples And Applications Using Stata

by Robert L. Kaufman

93,15€ + 10% CARD

 Offering a clear set of workable examples with data and explanations,Â Interaction Effects in Linear and Generalized Linear ModelsÂ is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
ENGLISH

Propensity Score Analysis - Statistical Methods And Applications

by Mark W. Fraser e Shenyang Guo

95,40€ + 10% CARD

 Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
ENGLISH

Propensity Score Analysis - Statistical Methods And Applications

by Mark W. Fraser e Shenyang Guo

93,15€ + 10% CARD

 Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
ENGLISH

Models For Social Networks With Statistical Applications

by A R. Rao, A. R. Rao, Bikas K. Sinha e Suraj Bandyopadhyay

74,20€ + 10% CARD

 Written by a sociologist, a graph theorist, and a statistician, this title provides you with a solid statistical foundation from which to analyse network data.
ENGLISH

Structural Equation Modeling - Foundations And Extensions

by David Kaplan e David W. Kaplan

107,33€ + 10% CARD

 Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chapters
ENGLISH

Regression Analysis - A Constructive Critique

by Richard A. Berk

91,43€ + 10% CARD

 As a formal matter, conventional regression analysis does nothing more than produce from a data set a collection of conditional means and conditional variances. This work identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
Spatial Data Analysis With R

by Danlin Yu

~~76,85€~~ 69,17€ 10% OFF

 This is an introduction for social science students to the growing field of spatial data analysis using the R platform. The text assumes no prior knowledge of either, beyond the contents of an introductory statistics course. It uses the open-source software R, and relevant spatial data analysis packages, to provide practical guidance of how to conduct spatial data analysis with readers own data sets. The book first briefly introduces students to R, covers some basic concepts in statistical data analysis, and then focuses on discussing the central ideas of spatial data analysis. All the discussions are supported with R scripts so that students can work on their own and produce results that the book helps interpret. Each chapter ends with review questions to test understanding. The book is suited for upper-level undergraduate social science students and graduate students, and other social scientists who are interested in analyzing their spatial data with R. A companion website for the book can be found on the Resources tab above. It includes R code and data for students to replicate the examples in the book. The password-protected instructor side of the site includes exercises and answers which can be set for homework.
ENGLISH

Practical Multilevel Modeling Using R

by Francis L. Huang

76,85€ + 10% CARD

 Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.
ENGLISH

Spatial Regression Models For The Social Sciences

by Guangqing Chi e Jun Zhu

75,53€ + 10% CARD

 Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.
ENGLISH

Interaction Effects In Linear And Generalized Linear Models - Examples And Applications Using Stata

by Robert L. Kaufman

91,43€ + 10% CARD

 Offering a clear set of workable examples with data and explanations,Â Interaction Effects in Linear and Generalized Linear ModelsÂ is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.

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