Theory Based Data Analysis For The Social Sciences
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Theory Based Data Analysis For The Social Sciences
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Author : Carol S. Aneshensel
language : en
Publisher: SAGE
Release Date : 2013
Theory Based Data Analysis For The Social Sciences written by Carol S. Aneshensel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Social Science categories.
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
Theory Based Data Analysis For The Social Sciences
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Author :
language : en
Publisher:
Release Date : 2013
Theory Based Data Analysis For The Social Sciences written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Social sciences categories.
"This book presents the elaboration model for the multivariate analysis of observational quantitative data using two complimentary strategies: an exclusionary strategy and an inclusive strategy. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions."--Page 4 of cover.
Data Analysis For The Social Sciences
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Author : Douglas Bors
language : en
Publisher: SAGE
Release Date : 2018-01-08
Data Analysis For The Social Sciences written by Douglas Bors and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-08 with Reference categories.
Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.
Theory Building And Data Analysis In The Social Sciences
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Author : Herbert B. Asher
language : en
Publisher:
Release Date : 1984
Theory Building And Data Analysis In The Social Sciences written by Herbert B. Asher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Social Science categories.
Theory Building And Data Analysis In The Social Sciences
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Author : Herbert B. Asher
language : en
Publisher:
Release Date : 1984
Theory Building And Data Analysis In The Social Sciences written by Herbert B. Asher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Social Science categories.
Research Methodology And Data Analysis In Humanities Social Sciences
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Author : Rajesh Ekka
language : en
Publisher: Lulu.com
Release Date :
Research Methodology And Data Analysis In Humanities Social Sciences written by Rajesh Ekka and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
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.
Measurement In The Social Sciences
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Author : Richard A. Zeller
language : en
Publisher: Cambridge University Press
Release Date : 1980-04-30
Measurement In The Social Sciences written by Richard A. Zeller 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 1980-04-30 with Political Science categories.
This textbook is designed to bridge the gap between the theorist and the methodologist by presenting an integrated approach to measurement. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential to students of sociology and political science. Rather than developing new technical methods of new theoretical structures, Professors Zeller and Carmines provide thorough explanations of the assumptions, limitations and interpretations of previously established techniques and theories. Written at a level accessible to students of social science with some statistical training, the book does not presume a sophisticated mathematical background. By concentrating on synthesizing the methodological and theoretical realms, Zeller and Carmines demonstrate why measurement considerations are important to research and how measurement principles can be most effectively applied.
Measurement In The Social Sciences
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Author : Hubert M. Blalock
language : en
Publisher: Routledge
Release Date : 2017-09-08
Measurement In The Social Sciences written by Hubert M. Blalock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Social Science categories.
Among the frustrations constantly confronting the social scientist are those associated with the general process of measurement. The importance of good measurement has long been recognized in principle, but it has often been neglected in practice in many of the social sciences. Now that the methodological tools of multivariate analysis, simultaneous-equation estimation, and causal modeling are diffused more widely into the social sciences, and now that the very serious implications of random and non-random measurement errors are being systematically investigated, it is all the more important that social scientists give top priority to the quality of their data and the clarity of their theoretical conceptualizations. The book is organized so that, one proceeds from problems of data collection to those of data analysis. It is not intended to be a complete work covering all types of measurement problems that have arisen in the social sciences. Instead, it represents a series of studies that are deemed to be crucial for the advancement of social science research but which have not received sufficient attention in most of the social sciences. The basic purpose is to stimulate further methodological research on measurement and to study the ways in which knowledge that has been accumulated in some fields may be generalized. Part I is concerned with applying scaling approaches developed in psychometrics to problems that arise in other social sciences. The focus is on finding better ways to ask questions of respondents so as to raise the level of measurement above that of simple ordinal scales. Part II focuses on multiple-indicator theory and strategies as applied to relatively complex models and to change data. In this section the emphasis shifts to how one analyzes fallible data through the construction of explicit measurement-error models. Part III deals with the statistical analysis of ordinal data, including the interpretation and empirical behaviors of various ordinal measures of association.
Event History Analysis
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Author : Hans-Peter Blossfeld
language : en
Publisher: Psychology Press
Release Date : 2014-02-24
Event History Analysis written by Hans-Peter Blossfeld and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-24 with Psychology categories.
Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.