Models In Statistical Social Research

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Models In Statistical Social Research

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Author : G ̈otz Rohwer
language : en
Publisher: Routledge
Release Date : 2009-12-04

Models In Statistical Social Research written by G ̈otz Rohwer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-04 with Social Science categories.

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book focuses on analytical models which relate to substantial processes generating social facts. It formally develops individual-level, population-level, and multilevel versions of such models and uses these models as frameworks for the definition of notions of functional causality. The book further develops a distinction between the representation of states and events, which is then used to formally distinguish between comparative and dynamic notions of causality. It is shown that, due to the involvement of human actors in substantial processes considered in social research, the conceptual framework of randomized experiments is of only limited use. Instead, modelling selection processes should become an explicit task of social research.

Statistical Methods For The Social And Behavioural Sciences

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Author : David B. Flora
language : en
Publisher: SAGE
Release Date : 2017-12-11

Statistical Methods For The Social And Behavioural Sciences written by David B. Flora and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-11 with Social Science categories.

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

Models For Social Networks With Statistical Applications

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Author : Suraj Bandyopadhyay
language : en
Publisher: SAGE
Release Date : 2011

Models For Social Networks With Statistical Applications written by Suraj Bandyopadhyay and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Social Science categories.

The study of social networks is a new but fast widening multidisciplinary area involving social, mathematical, statistical and computer sciences for application in diverse social environments; in the latter sciences, and specially for the field of Economics. It has its own parameters and methodological tools. In 'Models for Social Networks with Statistical Applications', the authors show how graph-theoretic and statistical techniques can be used to study some important parameters of global social networks and illustrate their use in social science studies with some examples in real life survey data.

Handbook Of Statistical Modeling For The Social And Behavioral Sciences

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Author : G. Arminger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Handbook Of Statistical Modeling For The Social And Behavioral Sciences written by G. Arminger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Psychology categories.

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Basic Statistics For Social Research

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Author : Robert A. Hanneman
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-15

Basic Statistics For Social Research written by Robert A. Hanneman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-15 with Education categories.

A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.

Statistical Methods In Social Science Research

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Author : S P Mukherjee
language : en
Publisher: Springer
Release Date : 2018-10-05

Statistical Methods In Social Science Research written by S P Mukherjee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Social Science categories.

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method – as distinct from a ‘science’ related to any one type of phenomena – is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.

Statistical Models And Causal Inference

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Author : David A. Freedman
language : en
Publisher: Cambridge University Press
Release Date : 2010

Statistical Models And Causal Inference written by David A. Freedman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

Statistics For The Social Sciences

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Author : Russell T. Warne
language : en
Publisher: Cambridge University Press
Release Date : 2017-12-14

Statistics For The Social Sciences written by Russell T. Warne and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-14 with Psychology categories.

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.

Statistical Modelling For Social Researchers

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Author : Roger Tarling
language : en
Publisher: Routledge
Release Date : 2008-09-16

Statistical Modelling For Social Researchers written by Roger Tarling and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-16 with Mathematics categories.

This book introduces social researchers to all aspects of statistical modelling in an easily accessible but informative way. A website will accompany the book which will provide additional information and exercises. It is the first text to introduce the social researcher to the principles of statistical modelling and to the full range of methods available. This book describes in words rather than mathematical notation the aims and principles of statistical modelling but helpfully remains fully comprehensive.

Computational Social Science

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Author : R. Michael Alvarez
language : en
Publisher: Cambridge University Press
Release Date : 2016-03-10

Computational Social Science written by R. Michael Alvarez and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-10 with Political Science categories.

This book provides an overview of cutting-edge approaches to computational social science.