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Objetivos
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This course offers an introduction to statistical regression modeling, focusing on various regression techniques widely used in the social sciences. Key topics include linear regression, binary logistic regression for dichotomous outcomes, and multinomial and ordinal logistic regression for categorical outcomes. Illustrative examples are drawn from a range of social science disciplines. The course also features computer lab sessions utilizing the R software for data analysis, with no prior experience in R required. |
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Competências do curso
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The main objectives are as follows: (i) Understand the fundamentals of statistical regression modeling relevant to the social sciences. (ii) Gain knowledge of key regression techniques, including: Linear regression; Binary logistic regression for dichotomous outcomes; Multinomial and ordinal logistic regression for categorical outcomes. (iii)Apply regression models to real-world data from various social science disciplines. (iv) Develop practical skills in using R software for statistical analysis, regardless of prior experience. (v) Interpret and evaluate regression outputs to inform research conclusions in social science contexts. |