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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.
Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)
Shiny app to compute the sample size for optimal designs for multivariate norming based on the methods developed in Innocenti et al. (2024, Journal of Educational and Behavioral Statistics, 49(5), 817-847)
📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.
Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.
This R package visualizes a correlation matrix as a Venn diagram. The overlap of circles represents the shared variance between variables, and (optionally) the distance between circles is equivalent to the correlation between variables.
The project uncovers distinct groups of voter profiles utilizing COVID-19 orientations in a representative sample of German voters. The distinct groups in the population differ in their beliefs towards the effectiveness of government measures, compliance with a possible curfew, and trust in various institutions.