Social sciences - Statistical methods.
Overview
Works: | 208 works in 80 publications in 80 languages |
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Titles
Statistics for business and economics :Student study guide to accompany /
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Basic principles of structural equation modeling :an introduction to LISREL and EQS /
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Statistics for the behavioral and social sciences :a brief course /
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Structural equation modeling :concepts, issues, and applications /
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Bootstrapping :a nonparametric approach to statistical inference /
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Applied multiple regression/correlation analysis for the behavioral sciences /
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The elements of statistics :with applications to economics and the social sciences /
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Handbook of statistical modeling for the social and behavioral sciences /
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Hierarchical linear models :applications and data analysis methods /
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Statistical models for the social and behavioural sciences :multiple regression and limited-dependent variable models /
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The analysis and interpretation of multivariate data for social scientists /
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Longitudinal and panel data :analysis and applications in the social sciences /
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New developments in categorical data analysis for the social and behavioral sciences /
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Research design :qualitative, quantitative, and mixed methods approaches /
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Measuring the Intentional World :Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
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Basic statistics for social researchstep-by-step calculations and computer techniques using Minitab /
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(Electronic resources)
Longitudinal and panel dataanalysis and applications in the social sciences /
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(Electronic resources)
Research design :qualitative, quantitative, and mixed methods approaches /
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Modeling data irregularities and structural complexities in data envelopment analysis /
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Determining Sample Size.Balancing Power, Precision, and Practicality.
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Marginal modelsfor dependent, clustered, and longitudinal categorical data /
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(Electronic resources)
Interpreting economic and social dataa foundation of descriptive statistics /
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Applied statistics :from bivariate through multivariate techniques /
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Structural equation modeling with LISREL, PRELIS, and SIMPLIS :basic concepts, applications, and programming /
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Statistical analysis quick reference guidebook :with SPSS examples /
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Your statistical consultant :answers to your data analysis questions /
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Statistics in the social sciences :current methodological developments /
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Time-series analysis :a comprehensive introduction for social scientists /
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Multivariable modeling and multivariate analysis for the behavioral sciences /
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Analyzing quantitative data :an introduction for social researchers /
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Probability and social sciencemethodological relationships between the two approaches /
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(Electronic resources)
Methods and applications of statistics in the social and behavioral sciences /
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Odds ratio :effect size, descriptive statistics, logistic regression, odd, control group, probability distribution, random variable /
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Introduction to mediation, moderation, and conditional process analysis :a regression-based approach /
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Monte Carlo simulation and resampling methods for social science /
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Applied data-centric social sciencesconcepts, data, computation, and theory /
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Statistical power analysis with missing dataa structural equation modeling approach /
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Multivariable modeling and multivariate analysis for the behavioral sciences
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Statistical power analysis for the social and behavioral sciences :basic and advanced techniques /
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Excel 2013 for social sciences statisticsa guide to solving practical problems /
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Dependent data in social sciences researchforms, issues, and methods of analysis /
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Introduction to mediation, moderation, and conditional process analysis :a regression-based approach /
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Statistical power analysis for the social and behavioral sciencesbasic and advanced techniques /
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Excel 2016 for social science statisticsa guide to solving practical problems /
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The social sciences of quantificationfrom politics of large numbers to target-driven policies /
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A new concept for tuning design weights in survey samplingjackknifing in theory and practice /
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Mathematical-statistical models and qualitative theories for economic and social sciences
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Using R for data analysis in social sciences :a research project-oriented approach /
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Excel 2019 for social science statisticsa guide to solving practical problems /
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