The Berman Jewish Databank at The Jewish Federations of North America acquires, archives and provides open access to quantitative studies and related materials on North American Jews and Jewish communities.
The home of the U.S. Government’s open data
Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more.
The Division of Behavioral and Social Sciences and Education – one of five divisions within the National Research Council – works to advance the frontiers of the behavioral and social sciences and their applications to public policy. Access reports here.
Supported by Google Jigsaw, the GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.
Build, download and share custom tables, graphs and maps utilizing data on key sexual and reproductive health indicators from the Guttmacher Institute and other trusted sources.
"Since 1972, the General Social Survey (GSS) has provided politicians, policymakers, and scholars with a clear and unbiased perspective on what Americans think and feel about such issues as national spending priorities, crime and punishment, intergroup relations, and confidence in institutions."
Yale University - The ISPS Data Archive is a digital collection of data, metadata, code, and associated files that comprise the evidence base of social science claims.
ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields.
"The Oxford Poverty and Human Development Initiative (OPHI) is an economic research centre within the Oxford Department of International Development at the University of Oxford."
SIPP is the premier source of information for income and program participation. SIPP collects data and measures change for many topics including: economic well-being, family dynamics, education, assets, health insurance, childcare, and food security.
Books
SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics by Daniel J. DenisEnables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns.
Call Number: QA279 .D45775 2019, MAIN (2ND FLOOR)
ISBN: 9781119465812
Publication Date: 2018-09-25
Doing Survey Research: a guide to quantitative methods by Peter M. NardiEach day we are faced with continuing claims made by media pundits, politicians, teachers, and friends, often quoting research. Consider also the numerous comments and posts on Internet blogs, Twitter, and Facebook that illustrate the confusion between opinion and factual data. How do we learn to interpret the research we hear about and read, to distinguish opinions from scientific facts, and to use this knowledge to conduct our own studies to answer the questions faced in everyday situations? Understanding the components that go into scientific research and learning how to do research, make decisions about which statistics to use, and analyze statistical findings are goals for everyone in today''s research-oriented world. Questions about the reliability and validity of data from a study or public opinion poll come up routinely and need critical review. This book contributes to achieving these objectives.
Call Number: Main 2nd Floor: HN29 .N25 2018
ISBN: 9781138043381
Publication Date: 2018-01-08
Probability and Social Science: methodological relationships between the two approaches by Daniel CourgeauThis work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences--particularly population sciences--to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.
Call Number: HA29 .C38 2012, MAIN (2ND FLOOR)
ISBN: 9789400728783
Publication Date: 2012-02-23
Robustness Tests for Quantitative Research by Eric Neumayer; Thomas PlümperThe uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Call Number: HA31.5 .N48 2017, MAIN (2ND FLOOR)
ISBN: 9781108415392
Publication Date: 2017-08-17
Applied Statistics with SPSS by Eelko HuizinghAccessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. What is unique about Eelko Huizingh's approach is that this book is based around the needs of undergraduate students embarking on their own research project, and its self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms, and worked examples. Divided into three parts, Applied Statistics Using SPSS covers: A self-study guide for learning how to use SPSS A reference guide for selecting the appropriate statistical technique A stepwise do-it-your-self guide for analyzing data and interpreting the results Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Call Number: Main 2nd Floor: QA276.4 .H82 2007
ISBN: 1412919304
Publication Date: 2007-02-28
Critical Statistics: seeing beyond the headlines by Robert de VriesAwarded the 2019 Most Promising New Textbook Award by the Textbook & Academic Authors Association. This accessible and entertaining new textbook provides students with the knowledge and skills they need to understand the barrage of numbers encountered in their everyday lives and studies. Almost all the statistics in the news, on social media or in scientific reports are based on just a few core concepts, including measurement (ensuring we count the right thing), causation (determining whether one thing causes another) and sampling (using just a few people to understand a whole population). By explaining these concepts in plain language, without complex mathematics, this book prepares students to meet the statistical world head on and to begin their own quantitative research projects. Ideal for students facing statistical research for the first time, or for anyone interested in understanding more about the numbers in the news, this textbook helps students to see beyond the headlines and behind the numbers.
Call Number: Main 2nd Floor - HA29 .V75 2019
ISBN: 9781137609809
Publication Date: 2018-10-10
Nonsampling Error in Social Surveys by David E. McNabbThis is the only contemporary and comprehensive treatment of six different classes of nonsampling error, and is unique in its focus on controlling errors by showing how to eliminate the opportunity for them to occur. It includes a chapter on the prevailing paradigm in dealing with survey error, total survey error, and a section on ethics in survey research in the first chapter.
Call Number: Main 2nd Floor - HM538 .M42 2014
ISBN: 9781452257426
Publication Date: 2013-08-05
The SAGE Handbook of Qualitative Research by Norman K. Denzin; Yvonna S. Lincoln (Editor)The substantially updated and revised Fifth Edition of this landmark handbook presents the state-of-the-art theory and practice of qualitative inquiry. Representing top scholars from around the world, the editors and contributors continue the tradition of synthesizing existing literature, defining the present, and shaping the future of qualitative research. The Fifth Edition contains 19 new chapters, with 16 revised--making it virtually a new volume--while retaining six classic chapters from previous editions. New contributors to this edition include Jamel K. Donnor and Gloria Ladson-Billings; Margaret Kovach; Paula Saukko; Bryant Keith Alexander; Thomas A. Schwandt and Emily F. Gates; Johnny Saldaña; Uwe Flick; Mirka Koro-Ljungberg, Maggie MacLure, and Jasmine Ulmer; Maria Elena Torre, Brett G. Stoudt, Einat Manoff, and Michelle Fine; Jack Bratich; Svend Brinkmann; Eric Margolis and Renu Zunjarwad; Annette N. Markham; Alecia Y. Jackson and Lisa A. Mazzei; Jonathan Wyatt, Ken Gale, Susanne Gannon, and Bronwyn Davies; Janice Morse; Peter Dahler-Larsen; Marc Spooner; and David A. Westbrook. SAGE is offering a 30% discount on the Handbook. Enter code DENZIN30 at checkout to apply the discount.
Call Number: Main 2nd Floor - H62 .H2455 2018
ISBN: 9781483349800
Publication Date: 2017-02-15
Interpreting Economic and Social Data: a foundation of descriptive statistics by Othmar W. Winkler"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.
Call Number: HA29 .W539 2009, MAIN (2ND FLOOR)
ISBN: 9783540687207
Publication Date: 2009-08-20
Real Data Analysis by Shlomo S. SawilowskyThe invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.
Call Number: HA29 .R32 2007, MAIN (2ND FLOOR)
ISBN: 9781593115654
Publication Date: 2007-01-01
Statistics in the Social Sciences: current methodological developments by Stanislav Kolenikov; Douglas Steinley; Lori A. ThombsA one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.