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 San Diego Libraries.
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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 San Diego Libraries.
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- Social sciences -- Statistical methods
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- A Guide for selecting statistical techniques for analyzing social science data
- A Handbook for data analysis in the behavioral sciences : methodological issues
- A Handbook for data analysis in the behavioral sciences : statistical issues
- A beginner's guide to structural equation modeling
- A beginner's guide to structural equation modeling
- A first course in structural equation modeling
- A first course in structural equation modeling
- ANOVA : repeated measures
- Advanced quantitative data analysis
- Advanced structural equation modeling : issues and techniques
- Advances in factor analysis and structural equation models
- Aggregate data : analysis and interpretation
- An introduction to survey research, polling, and data analysis
- Analysis of nominal data
- Analysis of nominal data
- Analysis of ordinal data
- Analysis of variance
- Analyzing panel data
- Analyzing qualitative data
- Analyzing quantitative data : an introduction for social researchers
- Analyzing quantitative data : from description to explanation
- Applied Bayesian forecasting and times series analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics for the social sciences
- Applied power analysis for the behavioral sciences
- Applied regression analysis, linear models, and related methods
- Applied statistics
- Applied statistics for marine affairs professionals
- Applied statistics for the social and health sciences
- 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
- Assessing the quality of survey data
- Basic business statistics
- Basic statistics and probability for business and economic decisions
- Basic statistics for business and economics
- Basic statistics for social research
- Basic statistics for social research
- Basic statistics in business and economics
- Basics of qualitative research : techniques and procedures for developing grounded theory
- Bayesian inference in the social sciences
- Big data and social science : a practical guide to methods and tools
- Business statistics : elements and applications
- Canonical analysis and factor comparison
- Categorical data analysis for the behavioral and social sciences
- Causal modeling
- Causal modeling
- Central tendency and variability
- Cluster analysis
- Cluster analysis for social scientists
- Conceptualization and measurement in the social sciences
- Conducting a survey : techniques for a term project
- Confirmatory factor analysis : a preface to LISREL
- Correlation and causality
- Data analysis : an introduction
- Data analysis and the social sciences
- Data analysis for politics and policy
- Data mining for the social sciences : an introduction
- Data mining for the social sciences : an introduction
- Data theory and dimensional analysis
- Data, models, and statistical analysis
- Dealing with statistics : what you need to know
- 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
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discriminant analysis
- Ecological inference
- Ecological inference : new methodological strategies
- Elementary statistical methods in psychology and education
- Elementary statistics in social research
- Essentials of social statistics for a diverse society
- Ethnostatistics : qualitative bases of quantitative research
- Experimental design and analysis
- Exploratory data analysis
- Factor analysis : statistical methods and practical issues
- Factor analysis and related methods
- Fixed effects regression models
- From numbers to words : reporting statistical results for the social sciences
- Frontiers in massive data analysis
- Fundamental statistics for the behavioral sciences
- Fundamentals of behavioral statistics
- Handbook of data 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
- Hierarchical linear models : applications and data analysis methods
- How to think about statistics
- Identification problems in the social sciences
- Indici statistici per analisi economiche e sociali
- Inferential stats
- Interaction effects in multiple regression
- Interpreting quantitative data
- Interrupted time series analysis
- Introduction to business and economic statistics
- Introduction to business and economic statistics
- Introduction to factor analysis : what it is and how to do it
- Introduction to survey sampling
- Introductory statistics for business and economics
- Introductory statistics for the behavioral sciences
- 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
- Linear probability, logit and probit models
- Longitudinal and panel data : analysis and applications in the social sciences
- 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
- 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
- Meta-analysis : quantitative methods for research synthesis
- Meta-analysis for public management and policy
- Methods of meta-analysis : correcting error and bias in research findings
- Misused statistics : straight talk for twisted numbers
- Modeling and interpreting interactive hypotheses in regression analysis
- Modeling and interpreting interactive hypotheses in regression analysis
- Modeling longitudinal multilevel data : practical issues, applied approaches, and specific examples
- Modern regression techniques using R : a practical guide for students and researchers
- Modern statistics for the social and behavioral sciences : a practical introduction
- Multilevel analysis : techniques and applications
- Multilevel analysis : techniques and applications
- Multilevel and longitudinal modeling with IBM SPSS
- Multiple indicators : an introduction
- Multiple regression in practice
- Multivariate analysis for the biobehavioral and social sciences
- Multivariate applications in 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
- Nonparametric statistics for the behavioral sciences
- Notes on social measurement : historical and critical
- Observing interaction : an introduction to sequential analysis
- Ordinal measurement in the behavioral sciences
- Policy analysis in social science research
- Predictions, explanations and causal effects from longitudinal data
- Probability in social science
- Q methodology
- Qualitative methods
- Quantitative ecological analysis in the social sciences,
- Quantitative methods
- Quantitative methods in social science
- Quantitative methods in social science
- Quantitative research for the behavioral sciences
- Rasch models for measurement
- Real life statistics : regression analysis and quality control in manufacturing
- Regression diagnostics
- Regression models for categorical, count, and related variables : an applied approach
- Regression with dummy variables
- Reliability and validity assessment
- Research and evaluation in education and the social sciences
- 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
- Researching developing countries : a data resource guide for social scientists
- SPSS 13.0 guide to data analysis
- SPSS 15.0 guide to data analysis
- Sadistic statistics : an introduction to statistics for the social and behavioral sciences
- Sampling in education and the social sciences
- Say it with figures.
- Schaum's outline of theory and problems of statistics and econometrics
- Secondary analysis of survey data
- Serious stats : a guide to advanced statistics for the behavioral sciences
- Social measurement : current issues
- Social measurement and social indicators : issues of policy and theory
- Social statistics : an introduction using SPSS for Windows
- Social statistics for a diverse society
- Statistical analysis for administrative decisions
- Statistical analysis for administrative decisions
- 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 geography : problems in analyzing areal data
- Statistical inference : a commentary for the social and behavioural sciences
- Statistical methods for business and economics
- Statistical methods for meta-analysis
- Statistical methods for validation of assessment scale data in counseling and related fields
- 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 with missing data : a structural equation modeling approach
- Statistical tables for the social, biological and physical sciences
- Statistical techniques in business and economics
- Statistics and data interpretation for social work
- Statistics for business and economics : methods and applications
- Statistics for international social work and other behavioral sciences
- Statistics for management
- Statistics for modern business decisions
- Statistics for social sciences
- Statistics for sociology
- Statistics for the behavioral sciences
- Statistics for the behavioral sciences
- Statistics for the social sciences
- Statistics in Social Studies
- Statistics, a tool for social research
- Structural equation modeling : concepts, issues, and applications
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Structural equations with latent variables
- Structural equations with latent variables
- Survey sampling and multivariate analysis for social scientists and engineers
- Test anxiety : applied research, assessment, and treatment interventions
- Test item bias
- Tests of significance
- The analysis of cross-classifications
- The analysis of cross-classified data having ordered categories
- The data game : controversies in social science statistics
- The dimensions of quantitative research in history
- The logic of causal order
- The multivariate social scientist : introductory statistics using generalized linear models
- The need of social statistics as an aid to the courts
- The reviewer's guide to quantitative methods in the social sciences
- The reviewer's guide to quantitative methods in the social sciences
- The statistical imagination : elementary statistics for the social sciences
- The tyranny of numbers : mismeasurement and misrule
- Theories of meaningfulness
- Time series analysis : regression techniques
- Understanding & conducting qualitative research
- Understanding and evaluating research in applied clinical settings
- Understanding and using advanced statistics
- Understanding regression analysis : an introductory guide
- Using SPSS syntax : a beginner's guide
- Using SPSS syntax : a beginner's guide
- Using and interpreting statistics in the social, behavioral, and health sciences
- Validity and validation
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