Social sciences - Statistical methods.
Overview
Works: | 61 works in 24 publications in 24 languages |
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Titles
Statistical methods = connections, equivalencies, and relationships /
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Spatial socio-econometric modeling (SSEM) = a low-code toolkit for spatial data science and interactive visualizations using R /
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Statistical modelling for social researchers = principles and practice /
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Easy R : = access, prepare, visualize, explore data, and write papers /
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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Determining Sample Size. = Balancing Power, Precision, and Practicality.
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Excel 2013 for social sciences statistics = a guide to solving practical problems /
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Introduction to mediation, moderation, and conditional process analysis : = a regression-based approach /
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Longitudinal and panel data = analysis and applications in the social sciences /
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Applied statistics : = from bivariate through multivariate techniques /
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Measuring the Intentional World = Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
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Interpreting economic and social data = a foundation of descriptive statistics /
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The analysis and interpretation of multivariate data for social scientists /
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Hierarchical linear models : = applications and data analysis methods /
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Dependent data in social sciences research = forms, issues, and methods of analysis /
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Peripheralization = the making of spatial dependencies and social injustice /
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Probability and social science = methodological relationships between the two approaches /
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Marginal models = for dependent, clustered, and longitudinal categorical data /
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Multivariable modeling and multivariate analysis for the behavioral sciences
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Statistical power analysis with missing data = a structural equation modeling approach /
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Modeling and interpreting interactive hypotheses in regression analysis
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Statistical power analysis for the social and behavioral sciences = basic and advanced techniques /
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Excel 2016 for social science statistics = a guide to solving practical problems /
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The social sciences of quantification = from politics of large numbers to target-driven policies /
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Growth modeling : = structural equation and multilevel modeling approaches /
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A new concept for tuning design weights in survey sampling : = jackknifing in theory and practice /
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Big data and social science : = a practical guide to methods and tools /
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Mathematical-statistical models and qualitative theories for economic and social sciences
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