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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 Oklahoma 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 Oklahoma Libraries**.- Label
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- A General Linear Models analysis of sequential developmental designs
- A Guide for selecting statistical techniques for analyzing social science data
- A beginner's guide to structural equation modeling
- A beginner's guide to structural equation modeling
- A first course in Bayesian statistical methods
- A mathematical primer for social statistics
- A primer on regression artifacts
- A primer on regression artifacts
- ANOVA : repeated measures
- ANOVA : repeated measures
- Adaptive survey design
- Advanced quantitative data analysis
- Advanced quantitative data analysis
- Advanced statistical methods in the social sciences
- Advanced structural equation modeling : issues and techniques
- Agent-based models
- Aggregate data : analysis and interpretation
- Algunos problemas de formalización y estimación en modelos de regresión con variables cualitativas, aplicadas a la investigación social
- An easy guide to factor analysis
- An empirical study of two proposed nonparametric tests for main effects and interaction
- An introduction to causal analysis in sociology
- An introduction to multivariate techniques for social and behavioural sciences
- An introduction to statistical techniques for social research
- An introduction to survey research and data analysis
- An introduction to survey research and data analysis
- An introduction to survey research, polling, and data analysis
- Analysing change : measurement and explanation using longitudinal data
- Analysis of covariance
- Analysis of nominal data
- Analysis of nominal data
- Analysis of nominal data
- Analysis of ordinal data
- Analysis of ordinal data
- Analysis of qualitative data
- Analysis of qualitative data
- Analysis of variance
- Analysis of variance
- Analysis with local census data : portraits of change
- Analyzing census microdata
- Analyzing panel data
- Analyzing panel data
- Analyzing qualitative data
- Analyzing single system design data
- Analyzing social science data
- Annali del dipartimento di scienze statistiche
- Applications of data-centric science to social design : qualitative and quantitative understanding of collective human behavior
- Applied data-centric social sciences : concepts, data, computation, and theory
- Applied factor analysis
- Applied missing data analysis
- Applied multivariate statistics for the social sciences
- Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS
- Applied time series analysis for the social sciences
- Applying the Rasch model : fundamental measurement in the human sciences
- Applying the Rasch model : fundamental measurement in the human sciences
- Assessing inequality
- Basic principles of structural equation modeling : an introduction to LISREL and EQS
- Basic statistics : a real world approach
- Basic statistics for social research
- Basics of qualitative research : grounded theory procedures and techniques
- Basics of qualitative research : techniques and procedures for developing grounded theory
- Basics of qualitative research : techniques and procedures for developing grounded theory
- Basics of structural equation modeling
- Bayesian analysis for the social sciences
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods : a social and behavioral sciences approach
- Bootstrapping : a nonparametric approach to statistical inference
- Bootstrapping : a nonparametric approach to statistical inference
- Canonical analysis and factor comparison
- Canonical analysis and factor comparison
- Canonical analysis and factor comparison
- Capture-recapture methods for the social and medical sciences
- Causal analysis
- Causal analysis with panel data
- Causal analysis with panel data
- Causal modeling
- Causal modeling
- Central tendency and variability
- Central tendency and variability
- Cluster analysis
- Cluster analysis
- Cluster analysis
- Cluster analysis for social scientists
- Cohort analysis
- Common problems/proper solutions : avoiding error in quantitative research
- Computer assisted survey information collection
- Computer programming and statistics for basic research
- Concepts and methods for integrating social and economic statistics on health, education, and housing : a technical report
- Conceptualization and measurement in the social sciences
- Confidence intervals
- Confirmatory factor analysis : a preface to LISREL
- Confirmatory factor analysis : a preface to LISREL
- Contextual analysis : concepts and statistical techniques
- Contrast analysis : focused comparisons in the analysis of variance
- Correlation and causality
- Data analysis : an introduction
- Data analysis : an introduction
- Data analysis and the social sciences
- Data analysis for the helping professions : a practical guide
- Data mining for the social sciences : an introduction
- Data theory and dimensional analysis
- Deciphering data : the analysis of social surveys
- Deciphering data : the analysis of social surveys
- Dependent data in social sciences research : forms, issues, and methods of analysis
- Design and analysis : a researcher's handbook
- Design and analysis : a researcher's handbook
- Design and analysis of time series experiments
- Design and analysis: : a researcher's handbook
- Design sensitivity : statistical power for experimental research
- Designing and conducting survey research : a comprehensive guide
- Designing and conducting survey research : a comprehensive guide
- Determining Sample Size. : Balancing Power, Precision, and Practicality.
- Determining sample size : balancing power, precision, and practicality
- Differential item functioning
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discrete statistical models with social science applications
- Discriminant analysis
- Discriminant analysis
- Doing secondary analysis
- Drawing inferences from self-selected samples
- Ecological inference
- Ecological inference
- Ecological inference
- Ecological inference : new methodological strategies
- Elementary statistical methods for students of psychology, education and the social sciences
- Essays on research methodology
- Essentials of social statistics for a diverse society
- Essentials of social statistics for a diverse society
- Essentials of statistics for business and economics
- Essentials of statistics for the behavioral sciences
- Essentials of statistics for the behavioral sciences
- Essentials of statistics for the social and behavioral sciences
- Excel 2013 for social sciences statistics : a guide to solving practical problems
- Excel 2016 for social science statistics : a guide to solving practical problems
- Experimental design and analysis
- Experimental design and analysis
- Exploratory data analysis
- Exploratory data analysis
- Factor analysis : statistical methods and practical issues
- Fractal analysis
- From numbers to words : reporting statistical results for the social sciences
- Fundamentals of behavioral statistics
- 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
- Hierarchical linear models : applications and data analysis methods
- How to think about statistics
- Identification problems in the social sciences
- Improving concepts and methods for statistics and indicators on the situation of women
- Interaction and nonlinear effects in structural equation modeling
- Interaction effects in factorial analysis of variance
- Interaction effects in factorial analysis of variance
- Interaction effects in multiple regression
- Interaction effects in multiple regression
- Interpreting socio-economic data : a foundation of descriptive statistics
- Interrupted time series analysis
- Interrupted time series analysis
- Interrupted time series analysis
- Introduction to applied Bayesian statistics and estimation for social scientists
- Introduction to factor analysis : what it is and how to do it
- Introduction to statistics for the behavioral sciences
- Introduction to survey sampling
- Introduction to survey sampling
- LISREL approaches to interaction effects in multiple regression
- LISREL issues, debates, and strategies
- Latent class and discrete latent trait models : similarities and differences
- Linking and aligning scores and scales
- Little quick fix : choose your statistical test
- Logistic regression models for ordinal response variables
- Logit and probit : ordered and multinomial models
- Making sense of multivariate data analysis
- Marginal models : for dependent, clustered, and longitudinal categorical data
- Marketing research with IBM SPSS statistics : a practical guide
- Markov-switching vector autoregressions : modelling, statistical inference, and application to business cycle analysis
- Mathematical sciences and social sciences.
- Mathematical sciences and social sciences.
- Mathematics for social scientists
- Mathematics for social scientists
- Maximum likelihood estimation : logic and practice
- Maximum likelihood estimation : logic and practice
- Measurement in the social sciences : the link between theory and data
- Measurement in the social sciences : the link between theory and data
- Measuring the Intentional World : Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
- Measuring the intentional world : realism, naturalism, and quantitative methods in the behavioral sciences
- Methods of educational & social science research : an integrated approach
- Methods of meta-analysis : correcting error and bias in research findings
- Misused statistics
- Misused statistics
- 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
- Modelling society : an introduction to loglinear analysis for social researchers
- Models for social networks with statistical applications
- Models in statistical social research
- Modern methods for statistical analysis
- Modern statistics for the social and behavioral sciences : a practical introduction
- Multidimensional scaling
- Multilevel modeling using R
- Multiple and generalized nonparametric regression
- Multiple indicators : an introduction
- Multiple regression in practice
- Multivariate applications in the social sciences
- Multivariate applications in the social sciences
- Multivariate tests for time series models
- Multivariate tests for time series models
- Multiway contingency tables analysis for the social sciences
- New developments and techniques in structural equation modeling
- New statistical procedures for the social sciences : modern solutions to basic problems
- New ways in statistical methodology : from significance tests to Bayesian inference
- No limits to learning : bridging the human gap; a report to the Club of Rome
- Nonparametric measures of association
- Nonparametric measures of association
- Nonparametric statistics for the behavioral sciences
- Notes on social measurement : historical and critical
- Observation oriented modeling : analysis of cause in the behavioral sciences
- Observing interaction : an introduction to sequential analysis
- Observing interaction : an introduction to sequential analysis
- Ordinal data modeling
- Ordinal data modeling
- Ordinal measurement in the behavioral sciences
- Peripheralization : the making of spatial dependencies and social injustice
- Personal construct methodology
- Polytomous item response theory models
- Practical meta-analysis
- Practical scale development issues
- Precision journalism : a reporter's introduction to social science methods
- Precision journalism; : a reporter's introduction to social science methods
- Presenting your data with SPSS explained
- Probability and social science : methodological relationships between the two approaches
- Public program analysis : applied research methods
- Public program analysis : applied research methods
- Q methodology
- Q methodology
- Qualitative analysis for social scientists
- Quantile regression
- Quantitative Methoden in der Geschichtswissenschaft : eine Einfuhrung in die Forschung, Datenverarbeitung und Statistik
- Quantitative ecological analysis in the social sciences,
- Quantitative research for the behavioral sciences
- Quantitative research methods in the social sciences
- Random factors in ANOVA
- Random factors in ANOVA
- Rasch models for measurement
- Rasch models for measurement
- Recent developments on structural equation models : theory and applications
- Regression diagnostics
- Regression with dummy variables
- Relative distribution methods in the social sciences
- Relative distribution methods in the social sciences
- Reliability and validity assessment
- Reliability and validity assessment
- Reliability for the social sciences : theory and applications
- Research and evaluation in education and the social sciences
- Research design : qualitative & quantitative approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- SPSS 14.0 guide to data analysis
- Sampling in education and the social sciences
- Say it with figures
- Science outside the laboratory : measurement in field science and economics
- Secondary analysis of survey data
- Secondary analysis of survey data
- Simple statistics : applications in social research
- Simulation model building : a statistical approach to modelling in the social sciences with the simulation method
- Social choice with partial knowledge of treatment response
- Social measurement
- Social measurement : current issues
- Social measurement and social indicators : issues of policy and theory
- Social measurement and social indicators : issues of policy and theory
- Social statistics
- Social statistics : an introduction using SPSS for Windows
- Social statistics : changes in volume and kinds of services, 1941-44, Oklahoma City Area
- Social statistics : managing data, conducting analyses, presenting results
- Social statistics for a diverse society
- Sorting data : collection and analysis
- Sorting data : collection and analysis
- Spline regression models
- Statistical analysis for the social sciences
- Statistical analysis of longitudinal categorical data in the social and behavioral sciences : an introduction with computer illustrations
- Statistical analysis quick reference guidebook : with SPSS examples
- Statistical games and human affairs : the view from within
- Statistical methods for meta-analysis
- Statistical methods for the social sciences
- Statistical methods for validation of assessment scale data in counseling and related fields
- Statistical methods in the social sciences.
- Statistical modeling and analysis for complex data problems
- Statistical modeling and analysis for complex data problems
- Statistical models for the social and behavioral sciences
- Statistical models for the social and behavioral sciences : multiple regression and limited-dependent variable models
- Statistical power analysis for the behavioral sciences
- Statistical power analysis for the behavioral sciences
- Statistical tables for the social, biological and physical sciences
- Statistical techniques in business & economics
- Statistical test theory for the behavioral sciences
- Statistics : a tool for the social sciences
- Statistics : plain and simple
- Statistics and data interpretation for social work
- Statistics and data interpretation for the helping professions
- Statistics for management
- Statistics for social scientists: : a coordinated learning system
- Statistics for social workers
- Statistics for the behavioral sciences
- Statistics for the helping professions
- Statistics in the social sciences : current methodological developments
- Statistics using ranks : a unified approach
- Statistics, a tool for social research
- Strategies to approximate random sampling and assignment
- Structural equation modeling : foundations and extensions
- Structural equations with latent variables
- Studies in econometrics, time series, and multivariate statistics
- Survey automation : report and workshop proceedings
- Survey measurement and process quality
- Survey sampling and multivariate analysis for social scientists and engineers
- Survey sampling and multivariate analysis for social scientists and engineers
- Survival analysis
- Survival analysis
- Systematic reviews in the social sciences : a practical guide
- Taxonomy and behavioral sciences : comparative performance of grouping methods
- Test anxiety : applied research, assessment, and treatment interventions
- Test item bias
- Test item bias
- Tests of significance
- The Dimensions of quantitative research in history.
- The Dimensions of quantitative research in history.
- The Mahalanobis-Taguchi system
- 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 logic of causal order
- The need of social statistics as an aid to the courts
- The quantitative analysis of social problems.
- The statistical analysis of quasi-experiments
- The statistical approach to social measurement
- The theory and practice of item response theory
- The uncounted
- The uses and misuses of data and models : the mathematization of the human sciences
- Theories of meaningfulness
- Theory-based data analysis for the social sciences
- Time series analysis : regression techniques
- Time series analysis : regression techniques
- Time series analysis : regression techniques
- Time series analysis in the social sciences : the fundamentals
- Time series models for business and economic forecasting
- Técnicas de investigacion social : los indicadores sociales y psicosociales : teoría y práctica
- Understanding and prediction : essays in the methodology of social and behavioral theories
- Understanding and prediction : essays in the methodology of social and behavioral theories
- Understanding regression analysis : an introductory guide
- Understanding regression analysis : an introductory guide
- Understanding regression assumptions
- Understanding regression assumptions
- Understanding statistics : an introduction for the social sciences
- Understanding statistics in the social sciences
- Univariate tests for time series models
- Using IBM SPSS statistics for research methods and social science statistics
- Using SPSS syntax : a beginner's guide
- Using quantitative data to answer critical questions
- Using statistics in the social and health sciences with SPSS and Excel
- Working with statistics : an introduction to quantitative methods for social scientists
- Your statistical consultant : answers to your data analysis questions
- 统计研究/#/統計研究 [[tong ji yan jiu]]

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