Social sciences -- Statistical methods
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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 Libraries.
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- 100 statistical tests
- A Guide for selecting statistical techniques for analyzing social science data
- A Guide for selecting statistical techniques for analyzing social science data
- A Handbook for data analysis in the behavioral sciences : statistical issues
- A Statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
- A beginner's guide to structural equation modeling
- A beginner's guide to structural equation modeling
- A beginner's guide to structural equation modeling
- A first course in Bayesian statistical methods
- A first course in structural equation modeling
- A handbook for data analysis in the behavioral sciences : methodological issues
- A mixed model for variance of successive difference of stationary time series : modeling temporal instability in intensive longitudinal data
- A primer in longitudinal data analysis
- A primer on regression artifacts
- A structural equation modeling approach for the analysis of mediated moderation and moderated mediation
- ANOVA : repeated measures
- Advanced and multivariate statistical methods for social science research with a complete SPSS guide
- Advanced methods of data exploration and modelling
- Advanced structural equation modeling : issues and techniques
- Advances in factor analysis and structural equation models
- Agent-based models
- Aggregate data : analysis and interpretation
- Algoritmy analiza dannykh soï¸ t︡sialʹno-Ä—konomicheskikh issledovaniÄ : sbornik nauchnykh trudov
- American Voting Behavior : Presidential Elections from 1952-1980
- An introduction to causal analysis in sociology
- An introduction to multivariate techniques for social and behavioural sciences
- An introduction to survey research and data analysis
- Analysing change : measurement and explanation using longitudinal data
- Analysis of nominal data
- Analysis of ordinal data
- Analysis of qualitative data
- Analysis of variance
- Analysis of variance
- Analysis with local census data : portraits of change
- Analytical urban geography : spatial patterns and theories
- Analyzing panel data
- Analyzing qualitative data
- Analyzing quantitative data : an introduction for social researchers
- Analyzing single system design data
- Analyzing social science data
- Answering questions with statistics
- Applied Bayesian forecasting and times series analysis
- Applied Statistics Problem Sets for Instruction in Statistics in the Social Sciences
- Applied data-centric social sciences : concepts, data, computation, and theory
- Applied factor analysis
- Applied meta-analysis for social science research
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate research : design and interpretation
- Applied multivariate statistics for the social sciences
- Applied multivariate statistics for the social sciences
- Applied multivariate statistics for the social sciences
- Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS
- Applied power analysis for the behavioral sciences
- Applied regression analysis and generalized linear models
- Applied regression analysis, linear models, and related methods
- Applied statistical modeling
- Applied statistics
- Applied statistics : from bivariate through multivariate techniques
- Applied statistics for marine affairs professionals
- Applied statistics for public policy
- 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 the quality of survey data
- Basic principles of structural equation modeling : an introduction to LISREL and EQS
- Basic statistical analysis
- Basic statistical methods
- Basic statistics for business and economics
- Basic statistics for social research
- Basic statistics for the behavioral sciences
- Basic statistics in the human services : an applied approach
- 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
- 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
- Bayesian methods : a social and behavioral sciences approach
- Bayesian methods : a social and behavioral sciences approach
- Bayesian statistics for social scientists
- Bayesian statistics for the social sciences
- Behavioral statistics : an introduction to the basic methods of analysis and persuasion
- Behavioral statistics : logic and methods
- Bootstrapping : a nonparametric approach to statistical inference
- Canonical analysis and factor comparison
- Categorical data analysis for the behavioral and social sciences
- Causal analysis
- Causal analysis with panel data
- Causal modeling
- Causal modeling
- 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
- Comprehending behavioral statistics
- Comprehending behavioral statistics
- Computational handbook of statistics
- Computer assisted survey information collection
- Computer modeling of social processes
- Computing and qualitative 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
- Conceptualizing behaviour in health and social research : a practical guide to data analysis
- Confidence intervals
- Confirmatory factor analysis : a preface to LISREL
- 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
- Correlation and regression analysis
- Critical statistics : seeing beyond the headlines
- Customer surveys for agency managers : what managers need to know
- Data analysis
- Data analysis : a model comparison approach
- Data analysis : an introduction
- Data analysis for politics and policy
- 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 theory and dimensional analysis
- Data, models, and statistical analysis
- Deciphering data : the analysis of social surveys
- Demystifying social statistics
- Design and analysis : a researcher's handbook
- Design and analysis : a researcher's handbook
- Design and analysis : a researcher's handbook
- 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
- Designing and conducting survey research : a comprehensive guide
- Designing general linear models to test research hypotheses
- Differential item functioning
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discriminant analysis
- Doing statistical mediation and moderation
- Drawing inferences from self-selected samples
- Dynamic analysis in the social sciences
- Ecological inference
- Elements of statistics for the life and social sciences
- Essence of statistics
- Essential statistics for social research
- Essentials of research methods : a guide to social research
- Essentials of statistics for the behavioral sciences
- Essentials of statistics for the social and behavioral sciences
- Ethnostatistics : qualitative foundations for quantitative research
- Event history analysis with R
- Exercising essential statistics
- Experiment design and statistical methods for behavioural and social research
- Experimental design and analysis
- Experimental design and the analysis of variance
- Exploratory data analysis
- Extension of data envelopment analysis with preference information : value efficiency
- Factor analysis and related methods
- Foundations for gathering and interpreting behavioral data : an introduction to statistics
- Foundations of mathematical system dynamics : the fundamental theory of causal recursion and its application to social science and economics
- From numbers to words : reporting statistical results for the social sciences
- Fundamental statistics for behavioral sciences
- Fundamental statistics for behavioral sciences
- Fundamental statistics for the social and behavioral sciences
- Fundamentals of behavioral statistics
- Fundamentals of social statistics
- Fundamentals of statistics for the behavioral sciences
- Handbook of advanced multilevel analysis
- Handbook of data analysis
- 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
- How to think about statistics
- IBM SPSS Statistics 19 statistical procedures companion
- Identification problems in the social sciences
- Improving concepts and methods for statistics and indicators on the situation of women
- Integrating qualitative and quantitative methods : a pragmatic approach
- Interaction and nonlinear effects in structural equation modeling
- Interaction effects in factorial analysis of variance
- Interaction effects in multiple regression
- Interactive DIF detection by HLM : does interacted DIF matter?
- Interpreting data : a guide to understanding research
- Interpreting economic and social data : a foundation of descriptive statistics
- Interpreting quantitative data
- Interpreting quantitative data
- Interpreting socio-economic data : a foundation of descriptive statistics
- Interrupted time series analysis
- Introducing statistics for social research : step-by-step calculations and computer techniques using SPSS
- Introduction to applied Bayesian statistics and estimation for social scientists
- Introduction to applied statistics : a modelling approach
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to quantitative research methods : an investigative approach
- Introduction to social statistics : the logic of statistical reasoning
- Introduction to statistical measures for the social and behavioral sciences
- Introduction to statistics : a nonparametric approach for the social sciences
- Introduction to statistics for the behavioral sciences
- Introduction to statistics for the social and behavioral sciences
- Introduction to survey sampling
- Introductory statistics for business and economics
- Introductory statistics for the behavioral sciences
- Introductory statistics for the behavioral sciences
- L'analyse des données : leçons sur l'analyse factorielle et la reconnaissance des formes, et travaux du Laboratoire de statistique de l'Université de Paris VI
- LISREL issues, debates, and strategies
- La mathématique sociale du marquis de Condorcet
- Latent Markov Models for Longitudinal Data
- Latent class and discrete latent trait models : similarities and differences
- Latent variables in socio-economic models
- Leslie Kish : selected papers
- Linear statistical models and related methods : with applications to social research
- Linking and aligning scores and scales
- Logistic regression models for ordinal response variables
- Logit and probit : ordered and multinomial models
- Longitudinal and panel data : analysis and applications in the social sciences
- Longitudinal structural equation modeling
- Longitudinal structural equation modeling : a comprehensive introduction
- Making sense of multivariate data analysis
- Marginal models : for dependent, clustered, and longitudinal categorical data
- Markov-switching vector autoregressions : modelling, statistical inference, and application to business cycle analysis
- Mathematical sciences and social sciences
- Mathematical sciences and social sciences
- Maximum likelihood estimation : logic and practice
- Measurement in the social sciences : the link between theory and data
- Measurement, design, and analysis : an integrated approach
- Measuring the intentional world : realism, naturalism, and quantitative methods in the behavioral sciences
- Meta-analysis : a comparison of approaches
- Meta-analysis : new developments and applications in medical and social sciences
- Meta-analysis for public management and policy
- Methods for quantitative macro-comparative research
- Methods of educational and social science research : an integrated approach
- Methods of educational and social science research : the logic of methods
- Methods of meta-analysis : correcting error and bias in research findings
- Misleading evidence and evidence-led policy : making social science more experimental
- Misleading evidence and evidence-led policy : making social science more experimental
- Misused statistics
- Misused statistics : straight talk for twisted numbers
- Mixed method design : principles and procedures
- Modeling longitudinal and multilevel data : practical issues, applied approaches, and specific examples
- Models for social networks with statistical applications
- Monte Carlo simulation and resampling : methods for social science
- Multilevel analysis : techniques and applications
- Multilevel and longitudinal modeling with IBM SPSS
- Multilevel modeling using R
- Multilevel modelling
- Multiple and generalized nonparametric regression
- Multiple indicators : an introduction
- Multiple regression in practice
- Multivariate analysis for the biobehavioral and social sciences
- Multivariate analysis of variance and repeated measures : a practical approach for behavioural scientists
- Multivariate applications in the social sciences
- Multivariate tests for time series models
- Multiway contingency tables analysis for the social sciences
- New developments and techniques in structural equation modeling
- New developments in statistics for psychology and the social sciences
- New statistical procedures for the social sciences : modern solutions to basic problems
- Nonparametric and distribution-free methods for the social sciences
- Nonparametric measures of association
- Nonparametric statistics for social and behavioral sciences
- Nonparametric statistics for the behavioral sciences
- Nonsampling error in social surveys
- Observing interaction : an introduction to sequential analysis
- Odds ratios in the analysis of contingency tables
- Ordinal measurement in the behavioral sciences
- Ordinal methods for behavioral data analysis
- Osnovy teorii dostovernosti statisticheskikh pokazateleÄ
- Practical meta-analysis
- Precision journalism : a reporter's introduction to social science methods
- Precision journalism : a reporter's introduction to social science methods
- Principles and practice of structural equation modeling
- Probability in social science
- Propensity score analysis : fundamentals and developments
- Propensity score analysis : statistical methods and applications
- Public Reactions to Civil Disobedience, 1968
- Public program analysis : applied research methods
- Q methodology
- Qualitative analysis for social scientists
- Qualitative data analysis : practical strategies
- Qualitative research
- Quantifizierung in der Geschichtswissenschaft : Probleme u. Möglichkeiten
- Quantitative data analysis with Minitab : a guide to social scientists
- Quantitative ecological analysis in the social sciences
- Quantitative methods in social science
- Quantitative research methods for professionals
- Quantitative research methods in the social sciences
- Random factors in ANOVA
- Rasch models for measurement
- Reasoning with statistics
- Reasoning with statistics : how to read quantitative research
- Reasoning with statistics : how to read quantitative research
- Regression diagnostics
- Regression models : censored, sample selected or truncated data
- Regression with dummy variables
- 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
- Research design : qualitative, quantitative, and mixed methods approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- SAGE secondary data analysis
- SPSS 11.0 guide to data analysis
- SPSS 12.0 guide to data analysis
- SPSS 13.0 guide to data analysis
- SPSS 15.0 guide to data analysis
- SPSS 15.0 statistical procedures companion
- Sampling in education and the social sciences
- Sampling theory for the ecological and natural resource sciences
- Say it with figures
- Schaum's outline of theory and problems of statistics and econometrics
- Secondary analysis of survey data
- Simulation model building : a statistical approach to modelling in the social sciences with the simulation method
- Slippery math in public affairs : price tag and defense
- Social choice with partial knowledge of treatment response
- Social measurement
- Social measurement : current issues
- Social science statistics : its elements and applications
- Social statistics
- Social statistics : an introduction using SPSS for Windows
- Social statistics : an introduction using SPSS for Windows
- Social statistics for a diverse society
- Social statistics for a diverse society
- Social statistics without tears
- Some British empiricists in the social sciences, 1650-1900
- Sorting data : collection and analysis
- Spline regression models
- Statistical analysis for administrative decisions
- Statistical analysis for business decisions
- Statistical analysis for decision making
- Statistical analysis of continuous data
- 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 analysis quick reference guidebook : with SPSS examples
- 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
- Statistical deception at work
- Statistical decomposition analysis. : With applications in the social and administrative sciences
- Statistical design for research
- Statistical games and human affairs : the view from within
- Statistical inference : a commentary for the social and behavioural sciences
- Statistical inference for management and economics
- Statistical methods for business and economics
- Statistical methods for meta-analysis
- Statistical methods for social scientists
- Statistical methods for the social and behavioral sciences
- Statistical methods for the social sciences
- Statistical methods for the social sciences
- Statistical methods for the social sciences
- Statistical methods in longitudinal research
- Statistical modeling and analysis for complex data problems
- Statistical modeling and inference for social science
- Statistical modelling for social researchers : principles and practice
- Statistical models and causal inference : a dialogue with the social sciences
- Statistical models for the social and behavioral sciences
- Statistical models for the social and behavioral sciences : multiple regression and limited-dependent variable models
- Statistical persuasion : how to collect, analyze, and present data-- accurately, honestly, and persuasively
- Statistical power analysis for the behavioral sciences
- Statistical power analysis for the behavioral sciences
- Statistical power analysis for the behavioral sciences
- Statistical power analysis for the social and behavioral sciences : basic and advanced techniques
- Statistical power analysis with missing data : a structural equation modeling approach
- Statistical reasoning in the behavioral sciences
- Statistical tables for the social, biological and physical sciences
- Statistical thinking : a structural approach
- Statisticheskie algoritmy v soï¸ t︡siologicheskikh issledovaniï¸ ia︡kh
- Statistics
- Statistics : a foundation for analysis
- Statistics : a tool for social research
- Statistics : a tool for the social sciences
- Statistics : the essentials for research
- Statistics and data interpretation for social work
- Statistics and data interpretation for the helping professions
- Statistics for business and economics : methods and applications
- Statistics for social data analysis
- Statistics for social workers
- Statistics for the behavioral and social sciences : a brief course
- Statistics for the behavioral sciences
- Statistics for the behavioral sciences
- Statistics for the behavioral sciences : a short course and student manual
- Statistics for the helping professions
- Statistics for the social and behavioral sciences
- Statistics for the social sciences
- 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 studies
- Statistics, a tool for social research
- Statistik für Sozialwissenschaftler
- Structural equation modeling : concepts, issues, and applications
- Structural equation modeling : foundations and extensions
- Structural equation modeling with LISREL : essentials and advances
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Structural equations with latent variables
- Studies in econometrics, time series, and multivariate statistics
- Subjective probability
- Survey and statistical computing : proceedings of an international conference organised by the Study Group on Computers in Survey Analysis, Bristol, UK, September 24-26, 1992
- Survey sampling and multivariate analysis for social scientists and engineers
- Systematic reviews in the social sciences : a practical guide
- Test anxiety : applied research, assessment, and treatment intervention
- Test anxiety : applied research, assessment, and treatment interventions
- 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 Mahalanobis-Taguchi system
- The SAGE handbook of measurement
- The SAGE handbook of quantitative methodology for the social sciences
- The SPSS guide to data analysis for SPSS with additional instructions for SPSS/PC
- The analysis and interpretation of multivariate data for social scientists
- The analysis of cross-classifications
- The analysis of cross-classified data having ordered categories
- The beginning social and political scientist's statistics book
- The data detective : ten easy rules to make sense of statistics
- The data game : controversies in social science statistics
- The data game : controversies in social science statistics
- The data game : controversies in social science statistics
- The dimensions of quantitative research in history
- The elements of cluster and regional analysis : with application to the natural and social sciences
- The essentials of statistics : a tool for social research
- The explanatory power of models : bridging the gap between empirical and theoretical research in the social sciences
- The general linear model : data analysis in the social and behavioral sciences
- The logic of causal order
- The need of social statistics as an aid to the courts
- The quantitative analysis of social problems
- The reviewer's guide to quantitative methods in the social sciences
- The reviewer's guide to quantitative methods in the social sciences
- The secondary analysis of survey data
- The significance test controversy : a reader
- The statistical analysis of categorical data
- The statistical analysis of quasi-experiments
- The statistical imagination : elementary statistics for the social sciences
- The theory and practice of item response theory
- The tyranny of numbers : mismeasurement and misrule
- The uses and misuses of data and models : the mathematization of the human sciences
- Theories of meaningfulness
- Time series analysis : regression techniques
- Time series analysis : regression techniques
- Time series models for business and economic forecasting
- Tools and techniques for social science simulation
- Understanding and prediction : essays in the methodology of social and behavioral theories
- Understanding and using advanced statistics
- Understanding quantitative history
- Understanding regression analysis : an introductory guide
- Understanding social statistics
- Understanding statistics : an introduction for the social sciences
- Understanding statistics in the behavioral sciences
- Univariate tests for time series models
- Using IBM SPSS statistics for research methods and social statistics
- Using LISREL for structural equation modeling : a researcher's guide
- Using SPSS for social statistics and research methods
- Using SPSS for social statistics and research methods
- Using quantitative data to answer critical questions
- Using statistics in social research : a concise approach
- Validity and validation
- Your statistical consultant : answers to your data analysis questions
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