#
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 **Boston University Libraries**.

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Social sciences -- Statistical methods
Resource Information

The concept

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

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- (uri) http://id.loc.gov/authorities/subjects/sh85124018

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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 Handbook for data analysis in the behavioral sciences : methodological issues
- A beginner's guide to structural equation modeling
- A beginner's guide to structural equation modeling
- A first course in Bayesian statistical methods
- A handbook for data analysis in the behavioral sciences : statistical issues
- A mathematical primer for social statistics
- A statistical model : Frederick Mosteller's contributions to statistics, science, and public policy
- ANOVA : repeated measures
- Advanced quantitative data analysis
- Advances in factor analysis and structural equation models
- Aggregate data : analysis and interpretation
- Algunos problemas de formalizaciÃ³n y estimaciÃ³n en modelos de regresiÃ³n con variables cualitativas, aplicadas a la investigaciÃ³n social
- An introduction to multivariate techniques for social and behavioural sciences
- Analysis of nominal data
- Analysis of ordinal data
- Analysis of qualitative data
- Analyzing panel data
- Analyzing qualitative data
- Analyzing quantitative data : an introduction for social researchers
- Analyzing quantitative data : from description to explanation
- Analyzing single system design data
- Answering questions with statistics
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics for the social sciences
- Applied regression analysis and generalized linear models
- Arthur L. Bowley : a pioneer in modern statistics and economics
- Assessing the quality of survey data
- Basic statistical analysis
- Basic statistics for social research
- Basics of qualitative research : techniques and procedures for developing grounded theory
- Bayesian inference in the social sciences
- Bayesian methods : a social and behavioral sciences approach
- Cohort analysis
- Conceptualization and measurement in the social sciences
- Conducting a survey : techniques for a term project
- Contrast analysis : focused comparisons in the analysis of variance
- Correlation and causality
- Data analysis and the social sciences
- Data analysis for politics and policy
- Data mining for the social sciences : an introduction
- Dealing with statistics : what you need to know
- Design and analysis : a researcher's handbook
- Determining sample size : balancing power, precision, and practicality
- Discovering causal structure : artificial intelligence, philosophy of science, and statistical modeling
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discriminant analysis
- Dynamic analysis in the social sciences
- Essentials of research methods : a guide to social research
- Estadistica inferencial aplicada;
- Experimental design and analysis
- Exploratory data analysis
- Frontiers in massive data analysis
- Fundamentals of social statistics
- Handbook of polytomous item response theory models
- Indici statistici per analisi economiche e sociali
- Interpreting quantitative data
- Interpreting quantitative data
- IntroducciÃ³n a la estadÃstica con aplicaciones en ciencias sociales
- IntroducciÃ³n a la estadÃstica con aplicaciones en ciencias sociales
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to statistics and data analysis for the behavioral sciences
- Introduction to survey sampling
- 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
- Linking and aligning scores and scales
- Longitudinal and panel data : analysis and applications in the social sciences
- Making sense of multivariate data analysis
- 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
- Meta-analysis for public management and policy
- Modeling and interpreting interactive hypotheses in regression analysis
- 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
- Multiple indicators : an introduction
- Multivariate analysis for the biobehavioral and social sciences
- Multivariate applications in the social sciences
- New developments in categorical data analysis for the social and behavioral sciences
- New developments in statistics for psychology and the social sciences
- Nonparametric statistics for the behavioral sciences
- Policy analysis in social science research
- Practical scale development issues
- Principles and practice of structural equation modeling
- Propensity score analysis : fundamentals and developments
- Q methodology
- Qualitative analysis for social scientists
- Quantile regression
- Quantitative methods in social science
- Quantitative research methods for professionals
- Random factors in ANOVA
- Reliability and validity assessment
- Research design : qualitative & quantitative approaches
- Research design : qualitative, quantitative, and mixed method 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
- Sampling theory : for the ecological and natural resource sciences
- Science outside the laboratory : measurement in field science and economics
- Secondary analysis of survey data
- Social and economic statistics for Africa : their sources, collection, uses, and reliability
- Social measurement : current issues
- Social statistics
- Starting statistics : a short, clear guide
- Statistical and methodological issues in psychology and social sciences research
- Statistical design for research
- Statistical games and human affairs : the view from within
- Statistical methods for validation of assessment scale data in counseling and related fields
- Statistical methods in longitudinal research
- Statistical modeling and analysis for complex data problems
- Statistical models for the social and behavioral sciences
- Statistical persuasion : how to collect, analyze, and present data-- accurately, honestly, and persuasively
- Statistical power analysis with missing data : a structural equation modeling approach
- Statistical strategies for small sample research
- Statistical tables for the social, biological and physical sciences
- Statistics and data interpretation for social work
- Statistics for international social work and other behavioral sciences
- Statistics for international social work and other behavioral sciences
- Statistics for social sciences
- Statistics for social workers
- Statistics for social workers
- Statistics for social workers
- Statistics for the helping professions
- Statistiques en sciences sociales avec R
- 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
- Studies in econometrics, time series, and multivariate statistics
- Subjective probability
- Survival analysis
- Synthetic datasets for statistical disclosure control : theory and implementation
- Systematic reviews in the social sciences : a practical guide
- Test anxiety : applied research, assessment, and treatment interventions
- Tests of significance
- The Dimensions of Quantitative Research in History
- The accuracy, robustness and relationships among correlational models : a Monte Carlo simulation
- The multivariate social scientist : introductory statistics using generalized linear models
- The reviewer's guide to quantitative methods in the social sciences
- The significance test controversy; : a reader,
- The statistical analysis of quasi-experiments
- The theory and practice of item response theory
- Understanding and evaluating research in applied clinical settings
- Understanding and using advanced statistics
- Using R for data analysis in social sciences : a research project-oriented approach
- Using SPSS syntax : a beginner's guide
- Validity and validation
- Validity and validation

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