Social science data analysis, Hartmann, Florian G. Kopp, Johannes Lois, Daniel

Автор: Schwarzer, Guido Carpenter, James R. Rucker, Gerta
Название: Meta-analysis with r
ISBN: 3319214152 ISBN-13(EAN): 9783319214153
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. multivariate meta-analysis, network meta-analysis;

Автор: J.P. Verma
Название: Data Analysis in Management with SPSS Software
ISBN: 8132217101 ISBN-13(EAN): 9788132217107
Издательство: Springer
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Цена: 7927.00 р.
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Описание: This book helps readers understand the application of advanced statistical techniques by using SPSS and interpreting the findings. It gives them the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences.

Название: Adventures in Social Research
ISBN: 1412940834 ISBN-13(EAN): 9781412940832
Издательство: Sage Publications
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Цена: 5542.00 р.
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Описание: Designed for both introductory and advanced research methods or statistics courses in sociology, political science, social work, criminal justice, and public health departments, this is a computer skills and data analysis textbook for any discipline that uses survey methods.

Автор: Hans-J?rgen Andre?; Katrin Golsch; Alexander W. Sc
Название: Applied Panel Data Analysis for Economic and Social Surveys
ISBN: 3642434177 ISBN-13(EAN): 9783642434174
Издательство: Springer
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Цена: 7317.00 р.
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Описание: Useful for researchers using such household panel studies as GSOEP, BHPS or PSID, this book discusses methods of managing and analyzing panel data. Supplemental data sets and syntax files are provided via the book`s website.

Автор: Wiedemann
Название: Text Mining for Qualitative Data Analysis in the Social Sciences
ISBN: 3658153083 ISBN-13(EAN): 9783658153083
Издательство: Springer
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Цена: 5698.00 р.
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Описание: Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.

Автор: Mark Stemmler; Alexander von Eye; Wolfgang Wiederm
Название: Dependent Data in Social Sciences Research
ISBN: 3319372270 ISBN-13(EAN): 9783319372273
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).

Автор: Otto Opitz; W. Gaul; H. Schnelling; P.O. Degens
Название: Conceptual and Numerical Analysis of Data
ISBN: 3540516417 ISBN-13(EAN): 9783540516415
Издательство: Springer
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Цена: 13415.00 р.
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Описание: x Several problems of concept analysis, cluster analysis, data analysis and multivariate statistics are considered in 18 pa- pers of section 1.

Автор: Brajendra C. Sutradhar
Название: Longitudinal Categorical Data Analysis
ISBN: 1493953206 ISBN-13(EAN): 9781493953202
Издательство: Springer
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Цена: 11586.00 р.
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Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.

Автор: T.W. Anderson; Jeremy D. Finn
Название: The New Statistical Analysis of Data
ISBN: 0387946195 ISBN-13(EAN): 9780387946191
Издательство: Springer
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Цена: 12805.00 р.
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Описание: A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data.

Автор: Ingo Balderjahn; Rudolf Mathar; Martin Schader
Название: Classification, Data Analysis, and Data Highways
ISBN: 3540639098 ISBN-13(EAN): 9783540639091
Издательство: Springer
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Цена: 15855.00 р.
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Описание: This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications.

Автор: Jane F. Gentleman; G.A. Whitmore
Название: Case Studies in Data Analysis
ISBN: 0387944109 ISBN-13(EAN): 9780387944104
Издательство: Springer
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Цена: 12805.00 р.
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Описание: The purpose of this volume is to provide illustrative examples of the analysis of data drawn from fields as diverse as medicine, meteorology and market research. Each case study describes the question at hand, the data sets available, and the analysts` solutions and conclusions.

Автор: Wolfgang A. Gaul; Hermann Locarek-Junge
Название: Classification in the Information Age
ISBN: 3540658556 ISBN-13(EAN): 9783540658559
Издательство: Springer
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Цена: 15855.00 р.
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Описание: Presenting contributions to the analysis of data in the information age, this text is aimed at scientists and professionals in the field of classification and statistics. There are research results and applications to economics, archeology, bioinformatics, environment and health.