Social Science for What?

Social Science for What?

Author: Mark Solovey

Publisher: MIT Press

Published: 2020-07-07

Total Pages: 409

ISBN-13: 0262358751

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How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.


Maximum Likelihood for Social Science

Maximum Likelihood for Social Science

Author: Michael D. Ward

Publisher: Cambridge University Press

Published: 2018-11-22

Total Pages: 327

ISBN-13: 1107185823

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


Social Science Research

Social Science Research

Author: Anol Bhattacherjee

Publisher: CreateSpace

Published: 2012-04-01

Total Pages: 156

ISBN-13: 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.


The Quantified Scholar

The Quantified Scholar

Author: Juan Pablo Pardo-Guerra

Publisher: Columbia University Press

Published: 2022-08-30

Total Pages: 169

ISBN-13: 0231552351

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Since 1986, the British government, faced with dwindling budgets and growing calls for public accountability, has sought to assess the value of scholarly work in the nation’s universities. Administrators have periodically evaluated the research of most full-time academics employed in British universities, seeking to distribute increasingly scarce funding to those who use it best. How do such attempts to quantify the worth of knowledge change the nature of scholarship? Juan Pablo Pardo-Guerra examines the effects of quantitative research evaluations on British social scientists, arguing that the mission to measure academic excellence resulted in less diversity and more disciplinary conformity. Combining interviews and original computational analyses, The Quantified Scholar provides a compelling account of how scores, metrics, and standardized research evaluations altered the incentives of scientists and administrators by rewarding forms of scholarship that were closer to established disciplinary canons. In doing so, research evaluations amplified publication hierarchies and long-standing forms of academic prestige to the detriment of diversity. Slowly but surely, they reshaped academic departments, the interests of scholars, the organization of disciplines, and the employment conditions of researchers. Critiquing the effects of quantification on the workplace, this book also presents alternatives to existing forms of evaluation, calling for new forms of vocational solidarity that can challenge entrenched inequality in academia.


Bringing the Social Sciences Alive

Bringing the Social Sciences Alive

Author: Frederick M. Hess

Publisher:

Published: 1999

Total Pages: 244

ISBN-13:

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Both and invaluable resource and a how-to manual, this book is unlike others on the market. Written with the practicing teacher in mind, the book offers ten tested, varied, and refined simulations that will enliven a classroom in grades 7-12 without sacrificing content. The lessons will help a teacher teach concepts, material and skills more effectively.


Time Series Analysis for the Social Sciences

Time Series Analysis for the Social Sciences

Author: Janet M. Box-Steffensmeier

Publisher: Cambridge University Press

Published: 2014-12-22

Total Pages: 297

ISBN-13: 1316060500

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Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.


Hard-to-Survey Populations

Hard-to-Survey Populations

Author: Roger Tourangeau

Publisher: Cambridge University Press

Published: 2014-08-28

Total Pages: 675

ISBN-13: 1107031354

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Examines the different populations and settings that can make surveys hard to conduct and discusses methods to meet these challenges.


Statistics for the Social Sciences

Statistics for the Social Sciences

Author: Russell T. Warne

Publisher: Cambridge University Press

Published: 2020-12-17

Total Pages: 612

ISBN-13: 110889853X

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The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.