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Key Variables in Social Investigation

Key Variables in Social Investigation
Author: Robert Burgess
Publisher: Routledge
Total Pages: 290
Release: 2018-05-11
Genre: Social Science
ISBN: 135116998X

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Key Variables in Social Investigation encourages sociologists and other social scientists to think about the conceptual and empirical problems of using and evaluating key variables in social research. The book contains reviews of ten major variables: age; gender; race and ethnicity; health and illness; education; social class and occupation; work, employment and unemployment and unemployment; leisure; politics; and voluntary ways in which concepts can be specified and translated into variables and indicators.


Social Science Research

Social Science Research
Author: Anol Bhattacherjee
Publisher: CreateSpace
Total Pages: 156
Release: 2012-04-01
Genre: Science
ISBN: 9781475146127

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This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.


Theory-Based Data Analysis for the Social Sciences

Theory-Based Data Analysis for the Social Sciences
Author: Carol S. Aneshensel
Publisher: SAGE
Total Pages: 473
Release: 2013
Genre: Reference
ISBN: 1412994357

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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.


Research Methods in the Social Sciences: an A-Z of Key Concepts

Research Methods in the Social Sciences: an A-Z of Key Concepts
Author: Jean-édéric Morin
Publisher: Oxford University Press, USA
Total Pages: 331
Release: 2021-01-29
Genre:
ISBN: 0198850298

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Research Methods in the Social Sciences is a comprehensive yet compact A-Z for undergraduate and postgraduate students undertaking research across the social sciences, featuring 71 entries that cover a wide range of concepts, methods, and theories. Each entry begins with an accessible introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice for readers on when and how to apply the method in their own research. Wide ranging and interdisciplinary, the text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods. All entries feature extensive cross-referencing, providing ease of navigation and, pointing readers to related concepts, and to help build their overall understanding of research methods.


Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences
Author: William E. Wagner, III
Publisher: SAGE Publications
Total Pages: 142
Release: 2018-02-28
Genre: Social Science
ISBN: 1544321090

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Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.


The SAGE Encyclopedia of Social Science Research Methods

The SAGE Encyclopedia of Social Science Research Methods
Author: Michael Lewis-Beck
Publisher: SAGE
Total Pages: 460
Release: 2004
Genre: Reference
ISBN: 9780761923633

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Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.