PIAAC Data Analyses: Examples using R
Video 1 - PIAAC Data Analyses: An Introduction using the R EdSurvey Package (Dokumentation hier verfügbar)
This online tutorial gives an introduction to using R and the EdSurvey package to analyze PIAAC data. Our example is a regression analysis to investigate predictors of literacy in adults with low formal qualification. The tutorial covers subsetting data, recoding variables, computing descriptive statistics (frequencies, means), and conducting a linear regression. It is meant for beginners with PIAAC data, however, a basic command of R and RStudio is recommended.
Zitation: Gorges, J. & Hollricher, L. (2023). PIAAC Data Analyses: An Introduction using the R EdSurvey Package. Online Tutorial. GESIS –Leibniz Institute for the Social Sciences, Mannheim. Available at https://www.gesis.org/piaac/fdz/workshops.
Video 2a - PIAAC Data Analyses: Examples using R (Dokumentation hier verfügbar)
PIAAC makes use of (a) item-response theory (IRT) as a statistical framework to score and track adult literacy, and (b) complex sampling designs with, for example, groups of participants sampled from geographic localities, and individual participants sampled from households in those pooled localities. Therefore, the use of descriptive and multivariate statistics to analyze PIAAC data should account for both the use of IRT and the application of the complex sampling design.
This introductory online tutorial and related R-script is dedicated to guiding analysts to undertake descriptive statistics for IRT-derived plausible values, and other non-IRT-derived variables in PIAAC.
Zitation: Courtney, M.G.R & Nurumov, K. (2023). PIAAC Data Analyses: Examples using R. Online Tutorial, Video 2a - Descriptive Analyses. GESIS –Leibniz Institute for the Social Sciences, Mannheim. Available at https://www.gesis.org/piaac/fdz/workshops.
Video 2b - PIAAC Data Analyses: Regression-based Analysis using R – Plausible Values as Dependent Variable (Dokumentation hier verfügbar)
This online tutorial and associated R script is dedicated to guiding analysts to undertake regression-based multivariate analysis for predicting adult literacy as measured by the IRT-derived plausible values in PIAAC.
Zitation: Courtney, M.G.R & Nurumov, K. (2023). PIAAC Data Analyses: Examples using R. Online Tutorial, Video 2b - Regression-based Analysis using R: Plausible Values as Dependent Variable. GESIS –Leibniz Institute for the Social Sciences, Mannheim. Available at https://www.gesis.org/piaac/fdz/workshops.
Video 2c - PIAAC Data Analyses: Regression-based Analysis using R – Plausible Values as Independent Variable (Dokumentation hier verfügbar)
This online tutorial and associated R script is dedicated to guiding analysts to undertake regression-based multivariate analysis using adult literacy (IRT-derived plausible values in PIAAC) as independent variable.
Zitation: Courtney, M.G.R & Nurumov, K. (2023). PIAAC Data Analyses: Examples using R. Online Tutorial, Video 2c - Regression-based Analysis using R: Plausible Values as Independent Variable. GESIS –Leibniz Institute for the Social Sciences, Mannheim. Available at https://www.gesis.org/piaac/fdz/workshops.
