Social research and statistics Books
Cambridge University Press Ethnomethodology and the Human Sciences
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£54.14
Cambridge University Press Constructing Questions for Interviews and Questionnaires
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£39.89
Cambridge University Press Constructing Questions Interviews Theory and Practice in Social Research
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£28.49
Cambridge University Press Political Networks
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£35.14
Cambridge University Press demographyintheageofthepostmodern
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£25.64
Cambridge University Press From Words to Numbers
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£45.59
Cambridge University Press Ecological Inference
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£35.14
Cambridge University Press Event History Modeling
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£33.24
Cambridge University Press The Psychology of Survey Response
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£52.24
Cambridge University Press T R Malthus The Unpublished Papers in the Collection of Kanto Gakuen University Volume 2 T R Malthus 2 Volume Set
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£92.00
Cambridge University Press Econometrics of Qualitative Dependent Variables
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£35.14
Cambridge University Press Models and Methods in Social Network Analysis
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£39.89
Cambridge University Press Discursive Research in Practice New Approaches to Psychology and Interaction
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£32.29
Cambridge University Press Measurement in Psychology A Critical History of a Methodological Concept 53 Ideas in Context Series Number 53
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£108.30
Cambridge University Press Wealth in America
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£60.80
Cambridge University Press Wealth in America
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£25.64
Cambridge University Press Cultures of Inquiry
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£85.50
Cambridge University Press Cultures of Inquiry From Epistemology to Discourse in Sociohistorical Research
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£35.14
Cambridge University Press Interaction and the Standardized Survey Interview
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£85.50
Cambridge University Press Interaction and the Standardized Survey Interview
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£37.04
Cambridge University Press Mixed Method Data Collection Strategies
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£25.64
Cambridge University Press Statistics for RealLife Sample Surveys NonSimpleRandom Samples And Weighted Data
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£44.64
Cambridge University Press A Quantitative Tour of the Social Sciences
Book SynopsisThis overview by prominent social scientists gives a friendly, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.Trade Review'A marvellous sampler of quantitative approaches to social science across a range of disciplines. The authors forsake the dry and mechanical overviews that typify introductory texts in favour of focused forays into specific problems, deemed representative of their discipline's theoretical and empirical output. These engrossing stories of research make the volume a lively and informative read.' John Gerring, author of Social Science Methodology and Case Study Research: Principles and Practices'Andrew Gelman and Jeronimo Cortina have put together a unique and important volume covering empirical approaches across the dominant social sciences. Where else would one get detailed advice about specifying, fitting and analyzing quantitative models specifically tailored to five fields written by leaders in those fields? Rather than looking for the lowest-common-factor that relates these areas, the enclosed essays highlight the specialty and diversity of academic social sciences while remaining accessible to students regardless of their individual background. Bracketed by two theoretical discussions, this work provides a stunningly creative approach to broad social science education.' Jeff Gill, Director of the Center for Applied Statistics, Washington University'A Quantitative Tour of the Social Sciences provides an impressive overview of the uses of statistics throughout the social sciences, from psychology to economics, from sociology to political science. The collection of essays is highly accessible and provides excellent examples of statistical methods in the study of human behavior and society.' Steve Ansolabehere, Professor of Government, Harvard University'Despite the commonalities in the questions they seek to answer, researchers in different social sciences tend to use very different methods, often embarrassingly ignorant of what their colleagues in other fields are doing. Based partly on a lecture course at Columbia University designed to remedy this, the Gelman and Cortina collection provides a lucid and readable introduction to the methodological approaches in the different social sciences. Reading this will help empirical researchers in all social sciences broaden their understanding of quantitative methods, and help them choose their methods on the merits, rather that on the basis of what is fashionable in their own field.' Guido W. Imbens, Professor of Economics, Harvard UniversityTable of Contents1. Models and methods in the social sciences Andrew Gelman; 2. History Herbert Klein and Charles Stockley; 3. Economics Richard Clarida and Marta Noguer; 4. Sociology Seymour Spilerman and Emanuele Gerratana; 5. Political science Charles Cameron; 6. Psychology E. Tory Higgins, Elke Weber, and Heidi Grant; 7. To treat or not to treat: casual inference in the social science Jeronimo Cortina.
£31.34
Cambridge University Press Time Series Analysis for the Social Sciences
Book SynopsisTime 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 comparativeTable of Contents1. Modeling social dynamics; 2. Univariate time series models; 3. Dynamic regression models; 4. Modeling the dynamics of social systems; 5. Univariate, nonstationary processes: tests and modeling; 6. Co-integration and error-correction models; 7. Selections on time series analysis; 8. Concluding thoughts for the time series analyst.
£28.99
Cambridge University Press Order Statistics in Wireless Communications Diversity Adaptation and Scheduling in MIMO and OFDM Systems
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£69.35
Cambridge University Press CrossCultural Research Methods in Psychology
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£35.14
Cambridge University Press CrossCultural Research Methods in Psychology
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£77.90
Cambridge University Press Making Social Science Matter
Book SynopsisMaking Social Science Matter presents an exciting new approach to social and behavioral science, including theoretical argument, methodological guidelines, and practical examples. Bent Flyvbjerg shows why social science fails to emulate natural science. He then identifies the strength of social science in its rich, reflexive analysis of values and power.Trade Review'This is social science that matters.' Pierre Bourdieu'This is a book I have been waiting for for a long time. It opens up entirely new perspectives for social science by showing us that abandoning the aspiration to be like natural science is the beginning of wisdom about what we can and ought to be doing instead. It is a landmark book that deserves the widest possible reading and discussion.' Robert Bellah, Professor of Sociology, Emeritus, University of California, Berkeley'This brilliant contextualization of social inquiry, hinging on both Aristotle and Foucault, gives new meaning to the concept of praxis. It will be of interest to everyone concerned with making democracy work.' Ed Soja, School of Public Policy, University of California, Los Angeles'… suggestive and well written'. Science'As a practical guide to newcomers to the social sciences, or as a corrective to those who think that more and better 'objective' research will automatically turn social science into a clone of natural science, Bent Flyvbjerg's book is useful.' Harry Collins, The Times Higher Education Supplement'Flyvbjerg's book re-thinks social science in a fasinating way; a way that demands a debate on how social science endeavours are supported, understood and used by society.' Environmental Politics'Flyvbjerg's work on phronesis is valuable …'. International Planning Studies'… this timely and challenging book'. European Journal of Communication'Flyvbjerg's book is important and I would recommend it to all researchers of urban affairs. Making Social Science Matter is an important milestone in the discussion of how social science research might be undertaken and 'matter'. Flyvbjerg's discussion opens out for debate many of the key issues regarding research with social implications. This book is likely to remain a key reference for some time.' Urban StudiesTable of Contents1. The science wars: a way out; Part I. Why Social Science has Failed as Science: 2. Rationality, body, and intuition in human learning; 3. Is theory possible in social science?; 4. Context counts; Part II. How Social Science Can Matter Again: 5. Values in social and political inquiry; 6. The power of example; 7. The significance of conflict and power to social science; 8. Empowering Aristotle; 9. Methodological guidelines for a reformed social science; 10. Examples and illustrations: narratives of value and power; 11. Social science that matters; Notes; Index.
£89.87
Cambridge University Press Biotechnology The Making of a Global Controversy
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£40.84
Cambridge University Press Demography in the Age of the Postmodern 2 New Perspectives on Anthropological and Social Demography Series Number 2
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£60.80
Cambridge University Press Essential Mathematics for Political and Social Research
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£61.75
Cambridge University Press Ecological Inference New Methodological Strategies Analytical Methods for Social Research
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£98.15
Cambridge University Press Event History Modeling
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£74.09
Cambridge University Press Discursive Research in Practice New Approaches to Psychology and Interaction
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£89.87
Cambridge University Press Mixed Method Data Collection Strategies
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£49.40
Cambridge University Press A Quantitative Tour of the Social Sciences
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£66.49
Cambridge University Press Data Analysis Using Regression and
Book SynopsisData Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.Trade Review'Data Analysis Using Regression and Multilevel/Hierarchical Models' … careful yet mathematically accessible style is generously illustrated with examples and graphical displays, making it ideal for either classroom use or self-study. It appears destined to adorn the shelves of a great many applied statisticians and social scientists for years to come.' Brad Carlin, University of Minnesota'Gelman and Hill have written what may be the first truly modern book on modeling. Containing practical as well as methodological insights into both Bayesian and traditional approaches, Data Analysis Using Regression and Multilevel/Hierarchical Models provides useful guidance into the process of building and evaluating models. For the social scientist and other applied statisticians interested in linear and logistic regression, causal inference, and hierarchical models, it should prove invaluable either as a classroom text or as an addition to the research bookshelf.' Richard De Veaux, Williams College'The theme of Gelman and Hill's engaging and nontechnical introduction to statistical modeling is 'Be flexible'. Using a broad array of examples written in R and WinBugs, the authors illustrate the many ways in which readers can build more flexibility into their predictive and causal models. This hands-on textbook is sure to become a popular choice in applied regression courses.' Donald Green, Yale University'Simply put, Data Analysis Using Regression and Multilevel/Hierarchical Models is the best place to learn how to do serious empirical research. Gelman and Hill have written a much needed book that is sophisticated about research design without being technical. Data Analysis Using Regression and Multilevel/Hierarchical Models is destined to be a classic!' Alex Tabarrok, George Mason University'… a detailed, carefully written exposition of the modelling challenge, using numerous convincing examples, and always paying careful attention to the practical aspects of modelling. I recommend it very warmly.' Journal of Applied Statistics'Data Analysis Using Regression and Multilevel/Hierarchical Models is the book I wish I had in graduate school. … The text is an obvious candidate for use in courses or course modules on multilevel modeling, especially in Part 2. Beyond that, where should it be used? Instructors of first-year graduate methods courses should consider complementing their texts with material from Part 1. Many use Kennedy's A Guide to Econometrics (2003) to provide an alternative take in the essentials. Data Analysis is better suited for taking on this role. Students will find its coverage less redundant of what they get from standard texts, and the use of non-economics based examples should also help sell quantitative research to skeptical incomers into the profession.' The Political MethodologistTable of Contents1. Why?; 2. Concepts and methods from basic probability and statistics; Part I. A. Single-Level Regression: 3. Linear regression: the basics; 4. Linear regression: before and after fitting the model; 5. Logistic regression; 6. Generalized linear models; Part I. B. Working with Regression Inferences: 7. Simulation of probability models and statistical inferences; 8. Simulation for checking statistical procedures and model fits; 9. Causal inference using regression on the treatment variable; 10. Causal inference using more advanced models; Part II. A. Multilevel Regression: 11. Multilevel structures; 12. Multilevel linear models: the basics; 13. Multilevel linear models: varying slopes, non-nested models and other complexities; 14. Multilevel logistic regression; 15. Multilevel generalized linear models; Part II. B. Fitting Multilevel Models: 16. Multilevel modeling in bugs and R: the basics; 17. Fitting multilevel linear and generalized linear models in bugs and R; 18. Likelihood and Bayesian inference and computation; 19. Debugging and speeding convergence; Part III. From Data Collection to Model Understanding to Model Checking: 20. Sample size and power calculations; 21. Understanding and summarizing the fitted models; 22. Analysis of variance; 23. Causal inference using multilevel models; 24. Model checking and comparison; 25. Missing data imputation; Appendixes: A. Six quick tips to improve your regression modeling; B. Statistical graphics for research and presentation; C. Software; References.
£94.99
Cambridge University Press The Fundamentals of Political Science Research
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£69.34
Cambridge University Press Multiverse Analysis
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£24.69
Cambridge University Press Experimental Sociology
Book SynopsisExpertly navigates students and scholars through pivotal concepts of the experimental approach necessary for addressing sociological research questions. It furnishes readers with a profound understanding of sociological experiments, empowering them to seamlessly translate theoretical reasoning into skillfully designing experiments with confidence.
£21.84
Cambridge University Press Technology and Measurement around the Globe
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£24.69
Cambridge University Press Applying Benfords Law for Assessing the Validity of Social Science Data
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£66.50
Cambridge University Press Applying Benfords Law for Assessing the Validity of Social Science Data
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£21.84
Cambridge University Press The Illusion of Accountability
Book SynopsisThis book assesses the causes and consequences of 'open meeting laws,' which require public access to proceedings in state legislatures. While some may assume such laws increase accountability, the book consistently finds that open meetings do not influence legislators' behavior or citizens' capacity to alter that behavior.
£25.64
Cambridge University Press An SPSS Companion for The Fundamentals of Social Research
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£18.24
Cambridge University Press An R Companion for The Fundamentals of Social Research
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£18.24
Cambridge University Press Algorithms for Measurement Invariance Testing
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£17.00
Cambridge University Press Using the Police Craft to Improve Patrol Officer DecisionMaking
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£17.00