Social sciences + Statistical methods
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Social sciences + Statistical methods
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Social sciences + Statistical methods
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- Bayesian structural equation modeling, Sarah DePaoli
- Propensity score analysis, fundamentals and developments, edited by Wei Pan, Haiyan Bai
- Maximum likelihood estimation, logic and practice, Scott R. Eliason
- Studies in econometrics, time series, and multivariate statistics, edited by Samuel Karlin, Takeshi Amemiya, Leo A. Goodman
- Sage handbook of survey methodology, edited by Christof Wolf, Dominique Joye, Tom W. Smith and Yang-chih Fu
- Multilevel analysis, techniques and applications, Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot
- Statistical power analysis with missing data, a structural equation modeling approach, Adam Davey, Jyoti Savla
- Applied meta-analysis for social science research, Noel A. Card ; Series editor's note by Todd D. Little
- L'analyse des données, leçons sur l'analyse factorielle et la reconnaissance des formes et travaux du laboratoire de statistique de l'Université de Paris VI, rédigés et publiés sous la direction du professeur J.-P. Benzécri
- Structural equation modeling with LISREL, essentials and advances, Leslie A. Hayduk
- Introduction to survey sampling, Graham Kalton, Westat, Inc
- Statistics for social data analysis, George W. Bohrnstedt, David Knoke
- Nonparametric statistics for the behavioral sciences, Sidney Siegel, N. John Castellan, Jr
- Causal modeling, Herbert B. Asher
- Data Analysis for the Social Sciences, integrating theory and practice, Douglas Bors
- Multivariate analysis for the behavioral sciences, Kimmo Vehkalahti, Brian S. Everitt
- Confirmatory factor analysis, a preface to LISREL, J. Scott Long
- Confidence intervals, Michael Smithson
- Handbook of data analysis, edited by Melissa Hardy and Alan Bryman
- Regression diagnostics, John Fox
- Mathematical methods in social science, David J. Bartholomew
- Multilevel modeling using R, W. Holmes Finch, Jocelyn E. Bolin and Ken Kelley
- Using Mplus for structural equation modeling, a researcher's guide, Kevin E. Kelloway, Saint Mary's University
- Quantitative research methods for professionals, W. Paul Vogt
- Presenting your data with SPSS explained, Perry R. Hinton and Isabella McMurray
- Análisis de la historia de acontecimientos, Fabrizio Bernardi
- Q methodology, Bruce McKeown, Dan Thomas
- Statistical methods for categorical data analysis, Daniel A. Powers, Yu Xie
- Introduction to time series analysis and forecasting, with applications in SAS and SPSS, Robert A. Yaffee with Monnie McGee
- Applied missing data analysis, Craig K. Enders
- Qualitative data analysis, practical strategies, Pat Bazeley
- Doing secondary analysis, Angela Dale, Sara Arber, and Michael Procter
- The multivariate social scientist, introductory statistics using generalized linear models, Graeme D. Hutcheson and Nick Sofroniou
- Multilevel modeling in plain language, Karen Robson, David Pevalin
- A guide for statistics in the behavioral sciences, Jeff Foster
- Applied statistics using R, a guide for the social sciences, Mehmet Mehmetoglu, Matthias Mittner
- Conceptualization and measurement in the social sciences, Hubert M. Blalock, Jr
- Assessing inequality, Lingxin Hao and Daniel Q. Naiman
- Statistical analysis of continuous data, edited by Roger Penn and Damon Berridge
- Rasch models for measurement, David Andrich
- Applied regression analysis and generalized linear models, John Fox
- Multiple regression, a practical introduction, Aki Roberts, University of Wisconsin-Milwaukee, John M. Roberts, Jr., University of Wisconsin-Milwaukee
- Interrupted time series analysis, David McDowall, Richard McCleary, and Bradley J. Bartos
- Experimental design and the analysis of variance, Robert K. Leik
- Excel 2016 for social science statistics, a guide to solving practical problems, Thomas J. Quirk
- Statistics, a tool for social research, Joseph F. Healey
- Statistical methods for the social sciences, Alan Agresti
- Observing interaction, an introduction to sequential analysis, Roger Bakeman, John M. Gottman
- Using time series to analyze long-range fractal patterns, Matthijs Koopmans
- Structural equation modeling, foundations and extensions, David Kaplan