Social sciences -- Statistical methods
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The concept Social sciences -- Statistical methods represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
The Resource
Social sciences -- Statistical methods
Resource Information
The concept Social sciences -- Statistical methods represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- Social sciences -- Statistical methods
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- http://id.worldcat.org/fast/01122983
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- fast
40 Items that share the Concept Social sciences -- Statistical methods
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- A beginner's guide to structural equation modeling
- A first course in Bayesian statistical methods
- Agent-based models
- Applied data-centric social sciences : concepts, data, computation, and theory
- Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS
- Bayesian methods : a social and behavioral sciences approach
- Bayesian statistics for the social sciences
- Critical statistics : seeing beyond the headlines
- Data mining for the social sciences : an introduction
- Designing and conducting survey research : a comprehensive guide
- Encyclopedia of research design
- Event history analysis with R
- Fundamental statistics for the social and behavioral sciences
- Fundamentals of statistics for the behavioral sciences
- Growth modeling : structural equation and multilevel modeling approaches
- Integrating qualitative and quantitative methods : a pragmatic approach
- Interpreting socio-economic data : a foundation of descriptive statistics
- Introduction to applied Bayesian statistics and estimation for social scientists
- Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association
- Journal of the Japan Statistical Society : Nihon Tōkei Gakkai shi
- Linking and aligning scores and scales
- Marginal models : for dependent, clustered, and longitudinal categorical data
- Measurement : interdisciplinary research and perspectives
- Methods for quantitative macro-comparative research
- Multilevel analysis : techniques and applications
- Multilevel modeling using R
- Nonparametric statistics for social and behavioral sciences
- Propensity score analysis : fundamentals and developments
- Research design : qualitative, quantitative, and mixed methods approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- Sampling theory for the ecological and natural resource sciences
- Statistical Journal of the IAOS - Journal of the International Association for Official Statistics
- Statistical journal of the United Nations Economic Commission for Europe
- Statistical methods for the social sciences
- Statistical modeling and analysis for complex data problems
- Statistical power analysis for the social and behavioral sciences : basic and advanced techniques
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- The dimensions of quantitative research in history
- The tyranny of numbers : mismeasurement and misrule
- Using statistics in social research : a concise approach
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/UUSR0shWYxs/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/UUSR0shWYxs/">Social sciences -- Statistical methods</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
