Social sciences - Statistical methods.
Overview
| Works: | 412 works in 24 publications in 24 languages | |
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Titles
Observing interaction : = an introduction to sequential analysis /
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Social measurement and social indicators : = issues of policy and theory /
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Multivariate analysis of variance and repeated measures : = a practical approach for behavioural scientists /
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Research design : = qualitative, quantitative, and mixed methods approaches /
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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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Structural equation modeling with LISREL : = essentials and advances /
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Methods of educational and social science research : = an integrated approach /
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Methods of meta-analysis : = correcting error and bias in research findings /
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Applying the Rasch model : = fundamental measurement in the human sciences /
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The analysis and interpretation of multivariate data for social scientists /
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Introduction to causal analysis : = exploring survey data by crosstabulation /
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Hierarchical linear models : = applications and data analysis methods /
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Bootstrapping : = a nonparametric approach to statistical inference /
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New developments in statistics for psychology and the social sciences. volume 2 /
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Test anxiety : = applied research, assessment, and treatment interventions /
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Statistics for business and economics : = methods and applications /
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Handbook of statistical modeling 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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Ethnostatistics : = qualitative foundations for quantitative research /
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Regression models : = censored, sample-selected, or truncated data /
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Designing and conducting survey research : = a comprehensive guide /
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Hierarchical linear models : = applications and data analysis methods /
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Introduction to quantitative research methods : = an investigative approach /
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Basics of qualitative research : = grounded theory procedures and techniques /
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Structural equation modeling with LISREL, PRELIS, and SIMPLIS : = basic concepts, applications, and programming /
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Recent developments on structural equations models : = theory and application /
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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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Designing and conducting survey research : = a comprehensive guide /
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Statistics for the behavioral and social sciences : = a brief course /
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Applying the Rasch model = fundamental measurement in the human sciences /
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Schaum's outline of theory and problems of statistics and econometrics
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Measuring the Intentional World = Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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Research design : = qualitative, quantitative, and mixed methods approaches /
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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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Survey sampling and multivariate analysis for social scientists and engineers /
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Structural equation modeling with Mplus : = basic concepts, applications, and programming /
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Probability and social science = methodological relationships between the two approaches /
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The Reviewer's guide to quantitative methods in the social sciences /
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Statistical power analysis for the social and behavioral sciences = basic and advanced techniques /
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Basics of qualitative research : = techniques and procedures for developing grounded theory /
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Design sensitivity : = statistical power for experimental research /
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Applied structural equation modeling using AMOS : = basic to advanced techniques /
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Excel 2019 for social science statistics = a guide to solving practical problems /
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The reviewer's guide to quantitative methods in the social sciences /
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Statistical models for the social and behavioral sciences = multiple regression and limited-dependent variable models /
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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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Concepts and methods for integrating social and economic statistics on health, education, and housing : = a technical report.
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Analyzing tabular data : = loglinear and logistic models for social researchers /
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Structural equation modeling : = concepts, issues, and applications /
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Introduction to time-series modeling and forecasting in business and economics /
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Foundations for gathering and interpreting behavioral data : = an introduction to statistics /
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Introduction to statistics for the social and behavioral sciences /
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Data envelopment analysis : = theory, methodology, and application /
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Statistical models for the social and behavioural sciences : = multiple regression and limited-dependent variable models /
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Longitudinal and panel data : = analysis and applications in the social sciences /
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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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(Language materials, printed)
Schaum's outline of theory and problems of statistics and econometrics /
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(Language materials, printed)
Applying the Rasch model : = fundamental measurement in the human sciences /
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(Language materials, printed)
New developments in categorical data analysis for the social and behavioral sciences /
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Applied multiple regression/correlation analysis for the behavioral sciences /
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Time-series analysis : = a comprehensive introduction for social scientists /
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Statistical power analysis with missing data : = a structural equation modeling approach /
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Marginal models = for dependent, clustered, and longitudinal categorical data /
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Statistics in the social sciences : = current methodological developments /
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Modeling data irregularities and structural complexities in data envelopment analysis
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Introduction to mediation, moderation, and conditional process analysis : = a regression-based approach /
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Applied statistics : = from bivariate through multivariate techniques /
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Your statistical consultant : = answers to your data analysis questions /
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Applied data-centric social sciences = concepts, data, computation, and theory /
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Statistical power analysis with missing data = a structural equation modeling approach /
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Multivariable modeling and multivariate analysis for the behavioral sciences
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Excel 2013 for social sciences statistics = a guide to solving practical problems /
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Dependent data in social sciences research = forms, issues, and methods of analysis /
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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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Science outside the laboratory : = measurement in field science and economics /
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Excel 2016 for social science statistics = a guide to solving practical problems /
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Introduction to quantitative data analysis in the behavioral and social sciences /
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Using Mplus for structural equation modeling : = a researcher's guide /
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A new concept for tuning design weights in survey sampling : = jackknifing in theory and practice /
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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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The social sciences of quantification = from politics of large numbers to target-driven policies /
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