arrudafranco / Measurement

Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.

Measurement

Prof. Yanyan Sheng challenged me to create my own functions, without using established libraries, and perform independent analysis on R for the class "Principles and Methods of Measurement", taught at the University of Chicago in the Spring of 2021.

Functions

• dicht_vars.R contains functions used to analyze dichotomous variables in the context of survey instruments and psychometrics.
• g_d_crossed.R contains functions used to analyze G-Study and D-Study crossed designs.
• g_d_nested.R contains functions used to analyze G-Study and D-Study nested designs.

Independent Analysis Projects

• pentecostal_scale.md shows reliability and criterion validity for a test to predict Pentecostal affiliation using a subset of items from the questionnaire of a large-scale representative survey in Latin America, including the code necessary to perform it.
• rel_participation.md shows an interpretation of a factor analysis including religious and political participation variables from a large-scale representative survey in Latin America, including the code necessary to perform it. This analysis was made applying tools used in "Principles and Methods of Measurement" to the course "Public Opinion", taught by Prof. John Brehm at the University of Chicago in the Spring of 2021.
• Religion in Latin America Dataset.sav is the dataset used.
• Religion in Latin America Codebook.docx is the codebook for the dataset used.