#
Social sciences -- Statistical methods
Resource Information
The concept ** Social sciences -- Statistical methods** represents the subject, aboutness, idea or notion of resources found in **Brigham Young University**.

The Resource
Social sciences -- Statistical methods
Resource Information

The concept

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

#### 100+ Items that share the Concept Social sciences -- Statistical methods

## Context

Context of Social sciences -- Statistical methods#### Subject of

- 100 statistical tests
- 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 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 course in modern business statistics
- A first course in structural equation modeling
- A first course in structural equation modeling
- A mathematical primer for social statistics
- A primer of LISREL : basic applications and programming for confirmatory factor analytic models
- A primer on regression artifacts
- A systems approach to socio-economic planning
- 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
- An easy guide to factor analysis
- 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 nominal data
- Analysis of ordinal data
- Analysis of qualitative data
- Analysis of variance
- Analysis with local census data : portraits of change
- Analytical urban geography : spatial patterns and theories
- Analyzing census microdata
- Analyzing tabular data : loglinear and logistic models for social researchers
- Applied meta-analysis for social science research
- Applied missing data analysis
- Applied multiple regression/correlation analysis for the behavioral 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 regression analysis and generalized linear models
- Applied regression analysis, linear models, and related methods
- Applied statistics for the behavioral sciences
- 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
- 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 social statistics
- Basic statistical analysis
- Basic statistics : a real world approach
- Basic statistics and probability for business and economic decisions
- Basic statistics for business and economics
- Basic statistics for business and economics
- Basic statistics for social research
- Basic statistics for the behavioral sciences
- Basic statistics for the social and behaviorial [sic] sciences
- Basic statistics in business and economics
- 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 structural equation modeling
- Bayesian methods : a social and behavioral sciences approach
- Bayesian statistics for social scientists
- Bayesian statistics for social scientists
- Bayesian statistics for the social sciences
- Business and economic statistics
- Business statistics : basic concepts and methodology
- Canonical analysis and factor comparison
- Categorical data analysis for the behavioral and social sciences
- Causal analysis
- Causal analysis with panel data
- Causal modeling
- Causal theory and causal modeling : beyond description in the social sciences
- Cluster analysis
- Cluster analysis
- Cluster analysis for social scientists
- Cohort analysis
- Common problems/proper solutions : avoiding error in quantitative research
- Comprehending behavioral statistics
- Computational handbook of statistics
- Computer assisted survey information collection
- Computer modeling of social processes
- 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
- Contextual analysis : concepts and statistical techniques
- Contrast analysis : focused comparisons in the analysis of variance
- Correlation and causality
- Correlations between the physical and social sciences
- Data analysis : an introduction
- Data analysis and the social sciences
- Data analysis for politics and policy
- Data analysis for research designs : analysis-of-variance and multiple regression/correlation approaches
- Data envelopment analysis : theory, methodology, and application
- Data mining for the social sciences : an introduction
- Data, models, and statistical analysis
- Demystifying social statistics
- 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 general linear models to test research hypotheses
- Discovering causal structure : artificial intelligence, philosophy of science, and statistical modeling
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discrete statistical methods with social science applications
- Drawing inferences from self-selected samples
- Ecological inference
- Ecological inference : new methodological strategies
- Elementary statistics in behavioral research
- Elementary statistics in social research
- Elements of statistics for the life and social sciences
- Essential statistics for public managers and policy analysts
- Essential statistics for social research
- Essentials of statistics for the social and behavioral sciences
- Examining the effectiveness of document design principles in computer-generated health questionnaires
- Exploratory data analysis
- Exploring data : an introduction to data analysis for social scientists
- Factor analysis and related methods
- Fractal analysis
- Fundamental statistics for the 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 statistical modeling for the social and behavioral sciences
- Hierarchical linear models : applications and data analysis methods
- Historische NationalÃ¶konomie und Sozialstatistik als Gesellschaftswissenschaften. : Forschungen zur Vorgeschichte der theoretischen Soziologie und der empirischen Sozialforschung in Deutschland in der 2. HÃ¤lfte des 19. Jahrhunderts. [Von] Ulla G[ertrud] SchÃ¤fer
- How to think about statistics
- Hypothesis testing and model selection in the social sciences
- Identification problems in the social sciences
- Identification, equivalent models, and computer algebra
- Improving concepts and methods for statistics and indicators on the situation of women
- Indicadores sociais no Brasil : conceitos, fontes de dados e aplicaoÌ§sÌƒ para formulaÃ§Ã£o e avaliaÃ§Ã£o de polÃticas pÃºblicas, elaboraÃ§Ã£o de estudos socioeconÃ´micos
- Interaction and nonlinear effects in structural equation modeling
- Interaction effects in multiple regression
- Interpreting quantitative data
- Introduction to applied statistics : a modelling approach
- Introduction to social statistics
- Introduction to statistical investigations
- Introduction to statistical measures for the social and behavioral sciences
- Introduction to statistics : a nonparametric approach for the social sciences
- Introduction to statistics and data analysis for the behavioral sciences
- Introduction to statistics for the behavioral sciences
- Introduction to statistics for the behavioral sciences
- Introduction to statistics for the social and behavioral sciences
- Introduction to statistics for the social sciences
- Introduction to survey sampling
- Introduction to time series analysis and forecasting : with applications of SAS and SPSS
- Introductory statistics for behavioral research
- Introductory statistics for the behavioral sciences
- Invariant measurement : using Rasch models in the social, behavioral, and health sciences
- LISREL approaches to interaction effects in multiple regression
- LISREL issues, debates, and strategies
- Latent growth curve modeling
- Lehrbuch der Statistik : f ur Sozialwissenschaftler
- 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 structural equation modeling
- Longitudinal structural equation modeling : a comprehensive introduction
- Making sense of multivariate data analysis
- Mathematical sciences and social sciences
- Mathematics for social scientists
- Mathematics for social scientists
- 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
- Methods of meta-analysis : correcting error and bias in research findings
- Methods of meta-analysis : correcting error and bias in research findings
- Misused statistics
- Modeling and interpreting interactive hypotheses in regression analysis
- Modeling experimental and observational data
- Modeling longitudinal and multilevel data : practical issues, applied approaches, and specific examples
- Models for social networks with statistical applications
- Models in statistical social research
- Modern methods for robust regression
- Multilevel analysis : techniques and applications
- Multilevel and longitudinal modeling with IBM SPSS
- Multilevel and longitudinal modeling with IBM SPSS
- Multilevel modeling in plain language
- Multiple and generalized nonparametric regression
- Multivariate analysis for the biobehavioral and social sciences : a graphical approach
- Multivariate analysis of variance and repeated measures : a practical approach for behavioural scientists
- Multivariate applications in the social sciences
- Multivariate statistics in the social sciences : a researcher's guide
- 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 categorical data analysis for the social and behavioral sciences
- New developments in statistics for psychology and the social sciences
- New statistical procedures for the social sciences : modern solutions to basic problems
- New ways in statistical methodology : from significance tests to Bayesian inference
- Nonparametric and distribution-free methods for the social sciences
- Observing interaction : an introduction to sequential analysis
- Odds ratios in the analysis of contingency tables
- Ordinal data modeling
- Ordinal measurement in the behavioral sciences
- Organising quantitative data
- Path analysis : a primer
- Personal construct methodology
- Polytomous item response theory models
- 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
- Probleme internationaler wirtschafts- und sozialstatistischer Vergleiche : Rolf WagenfÃ¼hr zum GedÃ¤chtnis
- Propensity score analysis : fundamentals and developments
- Public program analysis : applied research methods
- Qualitative analysis for social scientists
- Quantile regression
- Quantitative ecological analysis in the social sciences,
- Random factors in ANOVA
- Reasoning with statistics : how to read quantitative research
- Recent developments on structural equation models : theory and applications
- Regression and linear models
- Regression models : censored, sample selected or truncated data
- Regression models for categorical, count, and related variables : an applied approach
- Relative distribution methods in the social sciences
- 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 methods and data analysis in the social sciences
- Sadistic statistics : an introduction to statistics for the behavioral sciences
- Sampling in education and the social sciences
- Say it with figures
- Say it with figures
- 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 science statistics
- Social science statistics, its elements and applications
- Social statistics and social reporting in and for Europe
- Social statistics for a diverse society
- Social statistics without tears
- Sociology and the use of secondary data
- Sorting data : collection and analysis
- Spline regression models
- Statistical analysis for administrative decisions
- Statistical analysis for administrative decisions
- Statistical analysis for business decisions
- Statistical analysis of longitudinal categorical data in the social and behavioral sciences : an introduction with computer illustrations
- Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences
- Statistical concepts for the behavioral sciences
- 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 inquiry : elementary statistics for the political, social, and policy sciences
- 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 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 for the behavioral sciences
- Statistical power analysis for the social and behavioral sciences : basic and advanced techniques
- Statistical reasoning for the behavioral sciences
- Statistical reasoning for the behavioral sciences
- Statistical strategies for small sample research
- Statistical tables for the social, biological and physical sciences
- Statistical techniques in business and economics
- Statistical thinking : a structural approach
- Statistics
- Statistics : a foundation for analysis
- Statistics : a guide to political and social issues
- Statistics : a tool for social research
- Statistics : a tool for the social sciences
- Statistics : a tool for the social sciences
- Statistics : a tool for the social sciences
- Statistics : applications for the behavioral sciences
- Statistics : plain and simple
- Statistics for decision making
- Statistics for economics, business administration, and the social sciences
- Statistics for geographers and social scientists
- Statistics for management
- Statistics for management
- Statistics for management and economics
- Statistics for management and economics
- Statistics for management and economics / : William Mendenhall ; James E. Reinmuth
- Statistics for managers in insurance companies
- Statistics for social data analysis
- Statistics for social scientists: : a coordinated learning system
- Statistics for social workers
- Statistics for sociology
- Statistics for the behavioral and social sciences : a brief course
- Statistics for the behavioral sciences
- 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 sciences : with computer applications
- Statistics for the social scientist
- Statistics in society : the arithmetic of politics
- Statistics in the social sciences : current methodological developments
- Statistics using ranks : a unified approach
- 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 LISREL, PRELIS, and SIMPLIS : basic concepts, applications, and programming
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Structural equation models for nonnormal data
- Structural equations with latent variables
- Studies in econometrics, time series, and multivariate statistics
- Study guide and student solution manual : to accompany Picconi. Romano. Olson. Business statistics: elements and applications
- Survey measurement and process quality
- Survey sampling and multivariate analysis for social scientists and engineers
- Taxonomy and behavioral science : comparative performance of grouping methods
- Test anxiety : applied research, assessment, and treatment intervention
- Tests of significance
- The Data game : controversies in social science statistics
- The Dimensions of quantitative research in history.
- The SAGE handbook of survey methodology
- 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 game : controversies in social science statistics
- The data game : controversies in social science statistics
- 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 quantitative analysis of social problems.
- The reviewer's guide to quantitative methods in the social sciences
- The significance test controversy; : a reader,
- The statistical approach to social measurement
- 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
- Theory-based data analysis for the social sciences
- Time series analysis : regression techniques
- Time series analysis in the social sciences : the fundamentals
- Time series models for business and economic forecasting
- Toward social reporting: next steps
- Understanding and using advanced statistics
- Understanding meta-analyses : a consumer's guide to aims, problems, evaluation and developments
- Understanding quantitative history
- Understanding regression analysis : an introductory guide
- Understanding social statistics
- Understanding statistics : an introduction for the social sciences
- Univariate tests for time series models
- Using SPSS syntax : a beginner's guide
- Working with statistics : an introduction to quantitative methods for social scientists
- Wu chan jie ji wen hua da ge ming yi lai tong ji gong zuo xian jin jing yan xuan bian
- Your statistical consultant : answers to your data analysis questions

## Embed (Experimental)

### Settings

Select options that apply then copy and paste the RDF/HTML data fragment to include in your application

Embed this data in a secure (HTTPS) page:

Layout options:

Include data citation:

<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.lib.byu.edu/resource/tysE5-kD6KA/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/resource/tysE5-kD6KA/">Social sciences -- Statistical methods</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>

Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements

### Preview

## Cite Data - Experimental

### Data Citation of the Concept Social sciences -- Statistical methods

Copy and paste the following RDF/HTML data fragment to cite this resource

`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.lib.byu.edu/resource/tysE5-kD6KA/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/resource/tysE5-kD6KA/">Social sciences -- Statistical methods</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>`