Social sciences - Statistical methods.
概要
| 作品: | 412 作品在 24 項出版品 24 種語言 | |
|---|---|---|
書目資訊
Multivariate analysis of variance and repeated measures : = a practical approach for behavioural scientists /
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Foundations for gathering and interpreting behavioral data : = an introduction to statistics /
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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Basic principles of structural equation modeling : = an introduction to LISREL and EQS /
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Statistical analysis of longitudinal categorical data in the social and behavioral sciences = an introduction with computer illustrations /
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Modeling longitudinal and multilevel data = practical issues, applied approaches, and specific examples /
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New developments in categorical data analysis for the social and behavioral sciences
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Measuring the Intentional World = Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
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Statistical power analysis with missing data : = a structural equation modeling approach /
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Probability and social science = methodological relationships between the two approaches /
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Concepts and methods for integrating social and economic statistics on health, education, and housing : = a technical report.
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Statistical models for the social and behavioural sciences : = multiple regression and limited-dependent variable models /
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Modeling longitudinal multilevel data : = practical issues, applied approaches, and specific examples /
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Statistical analysis of longitudinal categorical data in the social and behavioral sciences : = an introduction with computer illustrations /
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Longitudinal and panel data : = analysis and applications in the social sciences /
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Structural equation modeling with LISREL, PRELIS, and SIMPLIS : = basic concepts, applications, and programming /
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Measuring the intentional world = realism, naturalism, and quantitative methods in the behavioral sciences /
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New developments in categorical data analysis for the social and behavioral sciences /
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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Modern regression techniques using R : = a practical guide for students and researchers /
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Introduction to time series analysis and forecasting : = with applications in SAS and SPSS /
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Structural equation modeling with Mplus : = basic concepts, applications, and programming /
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Introduction to mediation, moderation, and conditional process analysis : = a regression-based approach /
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Statistical power analysis with missing data = a structural equation modeling approach /
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Statistical power analysis for the social and behavioral sciences = basic and advanced techniques /
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The social sciences of quantification = from politics of large numbers to target-driven policies /
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A new concept for tuning design weights in survey sampling : = jackknifing in theory and practice /
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Applied structural equation modeling using AMOS : = basic to advanced techniques /
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Bayesian data analysis for the behavioral and neural sciences : = non-calculus fundamentals /
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Age, period and cohort effects : = statistical analysis and the identification problem /
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Statistical models for the social and behavioral sciences = multiple regression and limited-dependent variable models /
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Modelling business cycles in Taiwan with time-varying Markov-switching models= = 臺灣景氣循環之探討:變動移轉機率馬可夫轉換模型之應用 /
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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