Real Social Science

Real Social Science
Author: Bent Flyvbjerg
Publisher: Cambridge University Press
Total Pages: 321
Release: 2012-04-19
Genre: Philosophy
ISBN: 1107000254

A new, hands-on approach to social inquiry for social scientists who wish to make a difference to policy and practice.

Real Social Science

Real Social Science
Author: Bent Flyvbjerg
Publisher:
Total Pages: 308
Release: 2012
Genre: Electronic books
ISBN: 9781139371421

"Real Social Science presents a new, hands-on approach to social inquiry. The theoretical and methodological ideas behind the book, inspired by Aristotelian phronesis, represent an original perspective within the social sciences, and for the first time this volume gives readers a set of studies exemplifying what applied phronesis looks like in practice. The reflexive analysis of values and power gives new meaning to the impact of research on policy and practice. Real Social Science is a major step forward in a novel and thriving field of research. This book will benefit scholars, researchers, and students who want to make a difference in practice, not just in the academy. Its message will make it essential reading for students and academics across the social sciences"--

Making Social Science Matter

Making Social Science Matter
Author: Bent Flyvbjerg
Publisher: Cambridge University Press
Total Pages: 218
Release: 2001-01-15
Genre: Social Science
ISBN: 9780521775687

New approach demonstrating how social science can be successful, focusing on context, values, and power.

Rocking Qualitative Social Science

Rocking Qualitative Social Science
Author: Ashley T. Rubin
Publisher: Stanford University Press
Total Pages: 398
Release: 2021-08-03
Genre: Social Science
ISBN: 1503628248

Unlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold. This figure provides an apt analogy for the scholar at the center of this unique book. In Rocking Qualitative Social Science, Ashley Rubin provides an entertaining treatise, corrective vision, and rigorously informative guidebook for qualitative research methods that have long been dismissed in deference to traditional scientific methods. Recognizing the steep challenges facing many, especially junior, social science scholars who struggle to adapt their research models to narrowly defined notions of "right," Rubin argues that properly nourished qualitative research can generate important, creative, and even paradigm-shifting insights. This book is designed to help people conduct good qualitative research, talk about their research, and evaluate other scholars' work. Drawing on her own experiences in research and life, Rubin provides tools for qualitative scholars, synthesizes the best advice, and addresses the ubiquitous problem of anxiety in academia. Ultimately, this book argues that rigorous research can be anything but rigid.

Maximum Likelihood for Social Science

Maximum Likelihood for Social Science
Author: Michael D. Ward
Publisher: Cambridge University Press
Total Pages: 327
Release: 2018-11-22
Genre: Political Science
ISBN: 1107185823

Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Transparent and Reproducible Social Science Research

Transparent and Reproducible Social Science Research
Author: Garret Christensen
Publisher: University of California Press
Total Pages: 266
Release: 2019-07-23
Genre: Social Science
ISBN: 0520296958

Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound. Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.

Quantitative Social Science

Quantitative Social Science
Author: Kosuke Imai
Publisher: Princeton University Press
Total Pages: 464
Release: 2021-03-16
Genre: Political Science
ISBN: 0691191093

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Data Analysis for Social Science

Data Analysis for Social Science
Author: Elena Llaudet
Publisher: Princeton University Press
Total Pages: 256
Release: 2022-11-29
Genre: Computers
ISBN: 0691199434

"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"--