#
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**.

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**Boston University Libraries**.- Label
- Social sciences -- Statistical methods

- Authority link
- http://id.loc.gov/authorities/subjects/sh85124018

- Source
- fast

## Context

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

- A Guide for selecting statistical techniques for analyzing social science data
- A Handbook for data analysis in the behavioral sciences : methodological issues
- A first course in Bayesian statistical methods
- A handbook for data analysis in the behavioral sciences : statistical issues
- A primer of LISREL : basic applications and programming for confirmatory factor analytic models
- Advanced methods of data exploration and modelling
- Advances in factor analysis and structural equation models
- An introduction to multivariate techniques for social and behavioural sciences
- Analysis of nominal data
- Analysis of ordinal data
- Analyzing panel data
- Applied multivariate statistics for the social sciences
- 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
- Bayesian statistics for social scientists
- Causal analysis
- Causal modeling
- Cluster analysis
- Cohort analysis
- Computational handbook of statistics
- Computer assisted survey information collection
- Conceptualization and measurement in the social sciences
- Contrast analysis : focused comparisons in the analysis of variance
- Correlation and causality
- Design and analysis : a researcher's handbook
- Design and analysis : a researcher's handbook
- Designing and conducting survey research : a comprehensive guide
- Discovering whether programs work : a guide to statistical methods for program evaluation
- Discriminant analysis
- Experimental design and analysis
- Exploratory data analysis
- Interaction effects in multiple regression
- Interpreting quantitative data
- Introduction to survey sampling
- Introductory research methodology : East African applications
- Mathematical thinking in the social sciences.
- Methods of educational & social science research : an integrated approach
- Multiple indicators : an introduction
- Multivariate applications in the social sciences
- Nonparametric statistics for the behavioral sciences
- On the theory and practice of obtaining unbiased and efficient samples in social surveys
- Principles and practice of structural equation modeling
- Qualitative analysis for social scientists
- Quantitative ecological analysis in the social sciences
- Reasoning with statistics
- Reliability and validity assessment
- Research design : qualitative & quantitative approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- Research design : qualitative, quantitative, and mixed methods approaches
- Say it with figures.
- Social and economic statistics for Africa : their sources, collection, uses, and reliability
- Social measurement : current issues
- Social statistics
- Statistical and methodological issues in psychology and social sciences research
- Statistical design for research
- Statistical inference : a commentary for the social and behavioural sciences
- Statistical models for the social and behavioral sciences
- Statistical power analysis for the behavioral sciences
- Statistical strategies for small sample research
- Statistical tables for the social, biological and physical sciences
- Statistics for business and economics
- Structural equations with latent variables
- Studies in econometrics, time series, and multivariate statistics
- Tests of significance
- The Dimensions of quantitative research in history.
- The accuracy, robustness and relationships among correlational models : a Monte Carlo simulation
- The robustness of the t test when applied to ordinal scaled data
- The significance test controversy; : a reader,
- The statistical analysis of quasi-experiments

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