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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-St. Louis Libraries**.

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Social sciences -- Statistical methods
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**Social sciences -- Statistical methods**represents the subject, aboutness, idea or notion of resources found in**University of Missouri-St. Louis Libraries**.- Label
- Social sciences -- Statistical methods

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- A Guide for selecting statistical techniques for analyzing social science data
- A Guide for selecting statistical techniques for analyzing social science data
- A Statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
- A first course in structural equation modeling
- A mixed model for variance of successive difference of stationary time series : modeling temporal instability in intensive longitudinal data
- A note on the decomposition of indexes of dissimilarity
- A primer on regression artifacts
- Advanced quantitative data analysis
- Advanced quantitative data analysis
- Advances in factor analysis and structural equation models
- Advances in sequence analysis : theory, method, applications
- Aggregate data : analysis and interpretation
- Almost all about unit roots : foundations, developments, and applications
- An introduction to causal analysis in sociology
- An introduction to multivariate techniques for social and behavioural sciences
- An introduction to survey research, polling, and data analysis
- Analysing change : measurement and explanation using longitudinal data
- Analysing social and educational research data
- Analysis of nominal data
- Analysis of nominal data
- Analysis of ordinal data
- Analysis of qualitative data
- Analysis of variance
- Analysis with local census data : portraits of change
- Analyzing panel data
- Analyzing qualitative data
- Analyzing qualitative data
- Applied factor analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied regression analysis, linear models, and related methods
- Applied statistics
- Applied time series analysis for the social sciences
- Applying the Rasch model : fundamental measurement in the human sciences
- Arthur L Bowley : a Pioneer in Modern Statistics and Economics
- Arthur L Bowley : a pioneer in modern statistics and economics
- Basic statistics for education and the behavioral sciences
- Basic statistics for social research
- Basic statistics for the behavioral sciences
- Basics of qualitative research : grounded theory procedures and techniques
- Basics of structural equation modeling
- Basics of structural equation modeling
- Basics of structural equation modeling
- Bayesian statistics for social scientists
- Behavioral statistics : logic and methods
- Business statistics : basic concepts and methodology
- Canonical analysis and factor comparison
- Causal modeling
- Causal modeling
- Cluster analysis
- Cluster analysis
- Cohort analysis
- Common problems/proper solutions : avoiding error in quantitative research
- Conceptualization and measurement in the social sciences
- Conceptualizing behavior : a practical guide to data analysis
- Conceptualizing behavior : a practical guide to data analysis
- Contextual analysis : concepts and statistical techniques
- Contrast analysis : focused comparisons in the analysis of variance
- Contrasts and effect sizes in behavioral research : a correlational approach
- Data analysis and the social sciences
- Data analysis for research designs : analysis-of-variance and multiple regression/correlation approaches
- Data analysis for the helping professions : a practical guide
- Data mining for the social sciences : an introduction
- Data mining for the social sciences : an introduction
- Dealing with statistics : what you need to know
- Demystifying social statistics
- Design and analysis : a researcher's handbook
- Design sensitivity : statistical power for experimental research
- Designing general linear models to test research hypotheses
- Determining sample size : balancing power, precision, and practicality
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discrete statistical methods with social science applications
- Dynamic analysis in the social sciences
- Ecological inference
- Ecological inference : new methodological strategies
- Ecological inference : new methodological strategies
- Elementary statistics in social research
- Elements of statistics for the life and social sciences
- Ethnostatistics : qualitative foundations for quantitative research
- Exploratory data analysis
- Factor analysis and related methods
- Fractal analysis
- From numbers to words : reporting statistical results for the social sciences
- Frontiers in massive data analysis
- Frontiers in massive data analysis
- Fuzzy neutrosophic models for social scientists
- Handbook of polytomous item response theory models
- Handbook of statistical modeling for the social and behavioral sciences
- Hierarchical linear models : applications and data analysis methods
- How to think about statistics
- Identification problems in the social sciences
- Informative hypotheses : theory and practice for behavioral and social scientists
- Interaction effects in multiple regression
- Interactive DIF detection by HLM : does interacted DIF matter?
- Interrupted time series analysis
- Introduction to statistics : a nonparametric approach for the social sciences
- Introduction to statistics for the behavioral sciences
- Introduction to survey sampling
- Introduction to time series analysis and forecasting : with applications in SAS and SPSS
- Introduction to time series analysis and forecasting : with applications in SAS and SPSS
- Introductory statistics for business and economics
- Introductory statistics for business and economics
- Introductory statistics for the behavioral sciences
- Invariant measurement : using Rasch models in the social, behavioral, and health sciences
- Just plain data analysis : finding, presenting, and interpreting social science data
- Just plain data analysis : finding, presenting, and interpreting social science data
- Latent class and discrete latent trait models : similarities and differences
- Linking and aligning scores and scales
- Longitudinal and panel data : analysis and applications in the social sciences
- Longitudinal data analysis : designs, models and methods
- Making sense of multivariate data analysis
- Marketing research with IBM SPSS statistics : a practical guide
- Mathematical sciences and social sciences
- Mathematical thinking in the social sciences
- Mathematics for social scientists
- Measurement for the social sciences : the C-OAR-SE method and why it must replace psychometrics
- Measurement in the social sciences : the link between theory and data
- Meta-analysis : a comparison of approaches
- Methods of educational and social science research : an integrated approach
- Methods of educational and social science research : an integrated approach
- Methods of meta-analysis : correcting error and bias in research findings
- Methods of meta-analysis : correcting error and bias in research findings
- Misleading evidence and evidence-led policy : making social science more experimental
- Misused statistics : straight talk for twisted numbers
- Modeling and interpreting interactive hypotheses in regression analysis
- Modeling and interpreting interactive hypotheses in regression analysis
- Modeling data irregularities and structural complexities in data envelopment analysis
- ModÃ¨les de mesure : l'apport de la thÃ©orie des rÃ©ponses aux items
- ModÃ¨les de mesure : l'apport de la thÃ©orie des rÃ©ponses aux items
- Multiple and generalized nonparametric regression
- Multiple indicators : an introduction
- Multiple regression in practice
- Multivariate applications in the social sciences
- Multivariate statistics in the social sciences : a researcher's guide
- Multiway contingency tables analysis for the social sciences
- New developments and techniques in structural equation modeling
- New developments in categorical data analysis for the social and behavioral sciences
- New developments in categorical data analysis for the social and behavioral sciences
- New developments in statistics for psychology and the social sciences
- Nonparametric and distribution-free methods for the social sciences
- Nonresponse in Detroit area study surveys : a ten year analysis
- Observing interaction : an introduction to sequential analysis
- Ordinal data modeling
- Ordinal measurement in the behavioral sciences
- Ordinal measurement in the behavioral sciences
- Ordinal methods for behavioral data analysis
- Precision journalism : a reporter's introduction to social science methods
- Predictions, explanations and causal effects from longitudinal data
- Predictions, explanations and causal effects from longitudinal data
- Principles and practice of structural equation modeling
- Public program analysis : applied research methods
- Q methodology
- Quantile regression
- Quantitative ecological analysis in the social sciences
- Quantitative methods in social science
- Quantitative methods in social science
- Quantitative research methods in the social sciences
- Rasch models for measurement
- Reasoning with statistics : how to read quantitative research
- Recherche sociale : de la problÃ©matique Ã la collecte des donnÃ©es
- Regression analysis and linear models : concepts, applications, and implementation
- Regression analysis for social sciences
- Regression analysis for social sciences
- Regression and linear models
- Regression models for categorical, count, and related variables : an applied approach
- Reliability and validity assessment
- Reliability for the social sciences : theory and applications
- Research design : qualitative, quantitative, and mixed methods approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- Sampling in education and the social sciences
- Science outside the laboratory : measurement in field science and economics
- Secondary analysis of survey data
- Simulation model building : a statistical approach to modelling in the social sciences with the simulation method
- Social and economic statistics for Africa : their sources, collection, uses, and reliability
- Social measurement
- Social measurement : current issues
- Social measurement and social indicators : issues of policy and theory
- Social statistics
- Sorting data : collection and analysis
- Statistical analysis for business decisions
- Statistical analysis for decision making
- Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences
- Statistical concepts for the behavioral sciences
- Statistical concepts with applications to business and economics
- Statistical data editing, Volume no. 3, Impact on data quality
- Statistical decomposition analysis. : With applications in the social and administrative sciences
- Statistical design for research
- Statistical inference : a commentary for the social and behavioural sciences
- Statistical methods for meta-analysis
- Statistical methods for social scientists
- Statistical methods for the social and behavioral sciences
- Statistical methods in the social sciences
- Statistical models and causal inference : a dialogue with the social sciences
- Statistical power analysis for the behavioral sciences
- Statistical strategies for small sample research
- Statistical tables for the social, biological and physical sciences
- Statistics
- Statistics and data interpretation for social work
- Statistics and data interpretation for social work
- Statistics and data interpretation for social work
- Statistics for business and economics : methods and applications
- Statistics for management and economics
- Statistics for social change
- Statistics for social data analysis
- Statistics for social scientists : an introductory text with computer programs in BASIC
- Statistics for social workers
- Statistics for the helping professions
- Statistics for the social sciences
- Statistics for the social sciences
- Statistics for the social scientist
- Statistics in modern research : applications in the social sciences and education
- Statistics in social research : an introduction
- Statistics, a tool for social research
- Structural equation modeling : concepts, issues, and applications
- Structural equation modeling : foundations and extensions
- Structural equations with latent variables
- Studies in econometrics, time series, and multivariate statistics
- Survey measurement and process quality
- Survey sampling and multivariate analysis for social scientists and engineers
- Test anxiety : applied research, assessment, and treatment interventions
- Test item bias
- Test theory : a unified treatment
- Tests of significance
- The Dimensions of quantitative research in history
- The SAGE handbook of measurement
- The SAGE handbook of quantitative methodology for the social sciences
- The analysis of cross-classifications
- The analysis of cross-classified data having ordered categories
- The data game : controversies in social science statistics
- The data game : controversies in social science statistics
- The general linear model : data analysis in the social and behavioral sciences
- The logic of causal order
- The multivariate social scientist : introductory statistics using generalized linear models
- The multivariate social scientist : introductory statistics using generalized linear models
- The quantitative analysis of social problems
- The significance test controversy : a reader
- The statistical analysis of quasi-experiments
- The statistical approach to social measurement
- The tyranny of numbers : mismeasurement and misrule
- Time series analysis : regression techniques
- Time series analysis in the social sciences : the fundamentals
- Understanding and evaluating research in applied clinical settings
- Understanding regression analysis : an introductory guide
- Understanding statistics : an introduction for the social sciences
- Your statistical consultant : answers to your data analysis questions

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