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On Line Analysis For Social Scientists


On Line Analysis For Social Scientists
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On Line Analysis For Social Scientists


On Line Analysis For Social Scientists
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Author : James R. Miller
language : en
Publisher:
Release Date : 1967

On Line Analysis For Social Scientists written by James R. Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Information storage and retrieval systems categories.


A library of computer routines has been compiled to facilitate the analysis of social science research data. Many of these routines are designed to test statistical hypotheses. These routines are designed primarily for social science researchers who do not possess extensive prior training in mathematics, statistics, or computer operations. They provide a rapid, flexible, and immediately accessible method of testing preliminary hypotheses and hunches on small to intermediate amounts of data. They also provide a useful pedagogical tool for training students in practical data and analysis. (Author).



On Line Analysis For Social Scientists


On Line Analysis For Social Scientists
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Author : James R. Miller
language : en
Publisher:
Release Date : 1966

On Line Analysis For Social Scientists written by James R. Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Social sciences categories.




Data Analysis For Social Science


Data Analysis For Social Science
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Author : Elena Llaudet
language : en
Publisher: Princeton University Press
Release Date : 2022-11-29

Data Analysis For Social Science written by Elena Llaudet and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Computers categories.


"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--



Qualitative Analysis For Social Scientists


Qualitative Analysis For Social Scientists
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Author : Anselm L. Strauss
language : en
Publisher: Cambridge University Press
Release Date : 1987-06-26

Qualitative Analysis For Social Scientists written by Anselm L. Strauss 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 1987-06-26 with Social Science categories.


The teaching of qualitative analysis in the social sciences is rarely undertaken in a structured way. This handbook is designed to remedy that and to present students and researchers with a systematic method for interpreting qualitative data', whether derived from interviews, field notes, or documentary materials. The special emphasis of the book is on how to develop theory through qualitative analysis. The reader is provided with the tools for doing qualitative analysis, such as codes, memos, memo sequences, theoretical sampling and comparative analysis, and diagrams, all of which are abundantly illustrated by actual examples drawn from the author's own varied qualitative research and research consultations, as well as from his research seminars. Many of the procedural discussions are concluded with rules of thumb that can usefully guide the researchers' analytic operations. The difficulties that beginners encounter when doing qualitative analysis and the kinds of persistent questions they raise are also discussed, as is the problem of how to integrate analyses. In addition, there is a chapter on the teaching of qualitative analysis and the giving of useful advice during research consultations, and there is a discussion of the preparation of material for publication. The book has been written not only for sociologists but for all researchers in the social sciences and in such fields as education, public health, nursing, and administration who employ qualitative methods in their work.



Introducing Data Analysis For Social Scientists


Introducing Data Analysis For Social Scientists
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Author : David Rose
language : en
Publisher: Open University Press
Release Date : 1996-12-01

Introducing Data Analysis For Social Scientists written by David Rose and has been published by Open University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12-01 with categories.




Web Social Science


Web Social Science
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Author : Robert Ackland
language : en
Publisher: SAGE
Release Date : 2013-06-17

Web Social Science written by Robert Ackland and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Social Science categories.


'Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. ' - Paul Vogt, Emeritus Professor, Illinois State University 'This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences.' - Professor William H. Dutton, Oxford Internet Institute, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.



Data Analysis For Social Science


Data Analysis For Social Science
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Author : Elena Llaudet
language : en
Publisher: Princeton University Press
Release Date : 2022-11-29

Data Analysis For Social Science written by Elena Llaudet and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Computers categories.


"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--



Time Series Analysis For The Social Sciences


Time Series Analysis For The Social Sciences
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Author : Janet M. Box-Steffensmeier
language : en
Publisher: Cambridge University Press
Release Date : 2014-12-22

Time Series Analysis For The Social Sciences written by Janet M. Box-Steffensmeier 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 2014-12-22 with Mathematics categories.


This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences.



Data Analysis For The Social Sciences


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 Based Data Analysis For The Social Sciences


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 Reference 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.