Автор: Blossfeld, Hans-Peter Название: Causal Analysis with Event History Data Using Stata ISBN: 1032708093 ISBN-13(EAN): 9781032708096 Издательство: Taylor&Francis Цена: 148010 T Наличие на складе: Нет в наличии. Описание: This third edition of our book provides an updated introduction to event history modeling along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, points to useful contextual background information, gives a brief account of the underlying statistical concepts, describes the organization of input data and the application of Stata statistical procedures, and assists the reader in interpreting the content of the results obtained. Emphasizing the strengths and limitations of continuous-time event history analysis in different fields of social science applications, this book demonstrates that event history models provide a useful approach to uncover causal relation- ships or to map a system of causal relationships. In particular, this book demonstrates how long-term processes can be studied, how different forms of duration dependencies can be estimated using nonparametric, parametric and semiparametric models, and how parallel and interdependent dynamic systems can be analyzed from a causal-analytical point of view using the method of episode splitting. The book also shows how changing contextual information at the micro, meso and macro levels can be easily integrated into a dynamic analysis of longitudinal data. Finally, the book addresses the problem of unobserved heterogeneity of time-constant and time-dependent omitted variables and makes suggestions for dealing with these sometimes difficult methodological problems.Causal Analysis with Event History Data Using Stata is an invaluable resource for both novice and experienced researchers from a variety of fields (e.g. sociology, economics, political science, education, psychology, demography, epidemiology, management research and organizational studies, as well as medicine and clinical applications) who need an introductory text- book on continuous-time event history analysis and who are looking for a practical handboo
Старое издание
Автор: Blossfeld Название: Event History Analysis With Stata ISBN: 1138070858 ISBN-13(EAN): 9781138070851 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume provides an introduction to event history models using Stata, a widely used and powerful statistical program that provides tools for data analysis.
Автор: Stockemer Daniel Название: Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata ISBN: 3319991175 ISBN-13(EAN): 9783319991177 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Невозможна поставка. Описание: In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913233 ISBN-13(EAN): 9781473913233 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Поставка под заказ. Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
Автор: Kaufman Robert L. Название: Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata ISBN: 150636537X ISBN-13(EAN): 9781506365374 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
Автор: Julian Aichholzer Название: Einf?hrung in lineare Strukturgleichungsmodelle mit Stata ISBN: 365816669X ISBN-13(EAN): 9783658166694 Издательство: Springer Рейтинг: Цена: 21770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Ziele dieses Lehrbuches sind eine verst ndliche Einf hrung in wesentliche Konzepte und statistische Grundlagen linearer Strukturgleichungsmodelle (SEM) sowie die didaktische Vermittlung und deren praktische Umsetzung mittels der Statistik-Software "Stata". Die Software Stata ist heute neben SPSS und R eine der weitest verbreiteten Statistik-Software-Pakete in den Sozial-, Verhaltens- und Wirtschaftswissenschaften. Die didaktische Vermittlung von SEM mittels Stata eignet sich auf Grund der (vergleichsweise) einfachen Syntax-Sprache und der Einbettung in eine Software-Umgebung zur nutzerfreundlichen Datenaufbereitung als auch -analyse.
Автор: Gould, William Название: Maximum likelihood estimation with stata ISBN: 1597180122 ISBN-13(EAN): 9781597180122 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Нет в наличии. Описание: Emphasizing practical implications for applied work, this title provides an overview of maximum likelihood estimation theory and numerical optimization methods. It details the use of Stata to maximize user-written likelihood functions. It is useful for researchers who need to maximize their own likelihood functions.
Автор: Imai Kosuke Название: Quantitative Social Science: An Introduction in Stata ISBN: 0691191085 ISBN-13(EAN): 9780691191089 Издательство: Wiley Рейтинг: Цена: 105600.00 T Наличие на складе: Невозможна поставка. Описание:
The Stata edition of Imai's groundbreaking textbook on data analysis and statistics for the social sciences and allied fields
Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science.
Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results--it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.
Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors.
Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science
Provides hands-on instruction using Stata, not paper-and-pencil statistics
Includes more than fifty data sets from actual research for students to test their skills on
Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools
Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises
Offers a solid foundation for further study
Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
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