Social sciences + Statistical methods
Label
Social sciences + Statistical methods
Name
Social sciences + Statistical methods
Sub focus
Actions
Incoming Resources
- Statistical models and causal inference, a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark
- Nonparametric measures of association, Jean Dickinson Gibbons
- Applying the Rasch model, fundamental measurement in the human sciences, Trevor G. Bond, Christine M. Fox
- Statistical power analysis for the behavioral sciences, Jacob Cohen
- Qualitative data analysis, practical strategies, Patricia Bazeley
- Heteroskedasticity in regression, detection and correction, Robert L. Kaufman
- Ecological inference, Laura Irwin Langbein, Allan J. Lichtman
- Longitudinal and panel data, analysis and applications in the social sciences, Edward W. Frees
- Methods of meta-analysis, correcting error and bias in research findings, Frank L. Schmidt, University of Iowa, John E. Hunter, Michigan State University
- Reliability and validity assessment, Edward G. Carmines, Richard A. Zeller
- Applied multivariate statistics for the social sciences, James Stevens
- Multiple indicators, an introduction, John L. Sullivan, Stanley Feldman
- Nonsampling error in social surveys, David E. McNabb
- Nonparametric statistics for the behavioral sciences, Sidney Siegel
- Introducing statistics for social research, step-by-step calculations and computer techniques using SPSS, Duncan Cramer
- Multivariable modeling and multivariate analysis for the behavioral sciences, Brian S. Everitt
- Statistical analysis quick reference guidebook, with SPSS examples, Alan C. Elliott, Wayne A. Woodward
- Causal analysis with panel data, Steven E. Finkel
- Fixed effects regression models, Paul D. Allison
- Understanding regression analysis, an introductory guide, Larry D. Schroeder, David L. Sjoquist, Paula E. Stephan
- Basics of qualitative research, grounded theory procedures and techniques, Anselm Strauss [and] Juliet Corbin
- The theory and practice of item response theory, R.J. de Ayala
- Qualitative analysis for social scientists, Anselm L. Strauss
- Data analysis, an introduction, Michael S. Lewis-Beck
- Ethnostatistics, qualitative foundations for quantitative research, Robert P. Gephart, Jr
- Test item bias, Steven J. Osterlind
- Starting statistics, a short, clear guide, Neil Burdess
- Analyzing panel data, Gregory B. Markus
- Making sense of multivariate data analysis, John Spicer
- Data collection and analysis, edited by Roger Sapsford and Victor Jupp
- A mathematical primer for social statistics, John Fox
- How to use SPSS syntax, an overview of common commands, Manfred te Grotenhuis, Chris Visscher
- Interaction effects in multiple regression, James Jaccard, Robert Turrisi
- Event history analysis, statistical theory and application in the social sciences, Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer
- Multiple and generalized nonparametric regression, John Fox
- The design and analysis of research studies, by Bryan F.J. Manly
- Data analysis for the helping professions, a practical guide, Donald M. Pilcher
- Research design, qualitative, quantitative, and mixed methods approaches, John W. Creswell
- Correlation and causality, David A. Kenny
- Multivariate general linear models, Richard F. Haase
- Introduction to time series analysis, Mark Pickup
- Data analysis and interpretation, David Byrne
- Understanding social statistics, Jane Fielding & Nigel Gilbert
- Interpreting quantitative data, David Byrne
- Your statistical consultant, answers to your data analysis questions, Rae R. Newton, Kjell Erik Rudestam
- Simple statistics, a course book for the social sciences, Frances Clegg
- Applied multiple regression/correlation analysis for the behavioral sciences, Jacob Cohen ... [et al.]
- Secondary analysis of survey data, K. Jill Kiecolt, Laura E. Nathan
- Fractal analysis, Clifford T. Brown, Larry S. Liebovitch
- Hierarchical linear models, applications and data analysis methods, Stephen W. Raudenbush, Anthony S. Bryk