Data Analysis: SOC 4002

Seven basic principles -- Causality, statistical significance, and substantive significance -- Five more technical principles -- Basic types of quantitative comparisons -- Creating effective tables -- Creating effective charts -- Choosing effective examples and analogies -- Writing about distributions and associations -- Writing about data and methods -- Writing scientific papers and reports -- Speaking about numbers -- Writing for applied audiences: issue briefs, chartbooks, posters, and general-interest articles.

Seven Basic Principles -- Causality, Statistical Significance, and Substantive Significance -- Five More Technical Principles -- Tools -- Creating Effective Tables -- Creating Effective Charts -- Choosing Effective Examples and Analogies -- Basic Types of Quantitative Comparisons -- Quantitative Comparisons for Multivariate Models -- Choosing How to Present Statistical Test Results -- Pulling it All Together -- Writing Introductions, Conclusions, and Abstracts -- Writing about Data and Methods -- Writing about Distributions and Associations -- Writing about Multivariate Models -- Speaking about Multivariate Analyses -- Writing for Applied Audiences -- Implementing "Generalization, Example, Exceptions" (GEE) -- Translating Statistical Output into Table and Text -- Terminology for Ordinary Least Squares (OLS) and Logistic Models -- Using a Spreadsheet for Calculations.