Event History Analysis With Stata, Blossfeld

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

Автор: Blossfeld
Название: Event History Analysis With Stata
ISBN: 1138070858 ISBN-13(EAN): 9781138070851
Издательство: Taylor&Francis
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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: Mehmet Mehmetoglu and Tor Georg Jakobsen
Название: Applied Statistics Using Stata
ISBN: 1473913233 ISBN-13(EAN): 9781473913233
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Нет в наличии.
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: 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
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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: 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
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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
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Цена: 21770.00 T
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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
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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.