Quantitative Social Science
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Quantitative Social Science
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Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2022-07-05
Quantitative Social Science written by Kosuke Imai 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 2022-07-05 with Social Science categories.
A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. Emphasizes hands-on learning, not paper-and-pencil statistics Includes data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
Quantitative Social Science Data With R
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Author : Brian J. Fogarty
language : en
Publisher: SAGE
Release Date : 2023-03-11
Quantitative Social Science Data With R written by Brian J. Fogarty and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Reference categories.
This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics
Quantitative Social Science
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Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2021-03-16
Quantitative Social Science written by Kosuke Imai 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 2021-03-16 with Social Science categories.
The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
Doing Quantitative Research In The Social Sciences
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Author : Thomas R Black
language : en
Publisher: SAGE
Release Date : 1999-03-30
Doing Quantitative Research In The Social Sciences written by Thomas R Black and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-30 with Social Science categories.
This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
Quantitative Methods In Social Science Research
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Author : Stephen Gorard
language : en
Publisher: A&C Black
Release Date : 2003-03-02
Quantitative Methods In Social Science Research written by Stephen Gorard and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-02 with Social Science categories.
This clever scheme builds on Gorard's previous book, Quantitative Methods in Educational Research. He has revised the original book in the light of experience and feedback, and has reworked it so that it includes more social science examples. Four chapters are entirely new.
Quantitative Social Science
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Author :
language : en
Publisher:
Release Date : 2006
Quantitative Social Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Quantitative Methods For The Social Sciences
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Author : Daniel Stockemer
language : en
Publisher: Springer
Release Date : 2018-11-19
Quantitative Methods For The Social Sciences written by Daniel Stockemer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Social Science categories.
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. 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. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Quantitative Research
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Author :
language : en
Publisher:
Release Date : 2006
Quantitative Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
A Quantitative Tour Of The Social Sciences
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Author : Andrew Gelman
language : en
Publisher:
Release Date : 2009
A Quantitative Tour Of The Social Sciences written by Andrew Gelman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic books categories.
This overview gives an accessible, non-technical sense of how quantitative research is done in the social sciences. Upon finishing this book, the reader should have a sense of the different models and different ways of thinking in economics, history, sociology, political science and psychology.
Quantitative Social Science Research In Practice
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Author : Charlette Donalds
language : en
Publisher: Taylor & Francis
Release Date : 2025-01-02
Quantitative Social Science Research In Practice written by Charlette Donalds and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Science categories.
Quantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models for Social Sciences examines quantitative Behavioral Science Research (BSR) by focusing on four key areas: Developing Novel, Parsimonious, and Actionable Causal Models: Researchers often face challenges in creating new, parsimonious causal models supported by empirical evaluation. A promising approach involves using meta-analytic reviews and more recent studies to identify relevant constructs and hypotheses that would constitutethe new causal model. Exploring the Scope of Context for a Novel Causal Model: The relevance of causal models may vary based on context, such as national or organizational culture, economic and political situations, and feasibility constraints. Behavioural science researchers have struggled to balance rigor and relevance, as theories effective in one context may not be valid in another. This book presents an approach to determine the contextual scope for new causal models. Guidance to Practice from a Novel Causal Model: Quantitative BSR studies should offer practical guidance, but often this guidance is vague or superficial. This book proposes an approach to highlight actionable insights derived from data analysis of new causal models, ensuring that the research offers concrete guidance for practitioners. Implementing Guidance from Causal Models: A significant limitation of BSR studies is the lack of clarity on how results can be made actionable for decision-makers, considering the costs and benefits of actions. This book presents a method to make research results actionable, especially for models with high explanatory and predictive power. The book is designed to be useful for various audiences: Business Managers and Practitioners: Those conducting or utilizing quantitative BSR for decision-making can find practical approaches for developing and applying causal models. Master’s and PhD Students: Students across disciplines interested in quantitative BSR can gain insight into novel methods for creating strong causal models. Active Scholars: Researchers aiming to apply new approaches in their work can benefit from the strategies outlined. Professors and Instructors: Those teaching research methodology or supervising theses can find the book a valuable resource for guiding students in their research projects. The book aims to advance the field of quantitative BSR by providing robust methodologies for developing, contextualizing, and implementing causal models, ensuring both academic rigor and practical relevance.