Repository for a small package for joint calibration of totals, quantiles and other metrics
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Updated
Apr 3, 2025 - R
Repository for a small package for joint calibration of totals, quantiles and other metrics
R/tidyverse pipeline for attributing single, holistic satisfaction ratings across multiple public services — solving the 100-service survey dilemma while staying compliant with Indonesia's Permenpan RB 14/2017. Presented as a Lightning Talk at useR! 2026 (Virtual Presentation Room).
Survey methodology project evaluating ASHA response behavior, postcard reminder effects, and postal mail vs. web survey mode differences using R, bootstrap inference, and logistic regression.
End-to-end pipeline for collecting, labeling, and analyzing metaphor framing and stance in Reddit and news discourse using LLMs.
LLM-vs-digital-trace sentiment analysis project comparing electric vehicle public opinion across Reddit, news, and model-generated sentiment; selected for AAPOR 2025.
Personal website showcasing my work in survey methodology, machine learning, and computational social science.
Statistically defensible stratified sampling for an employee engagement survey: sample-size calc (95% CI + finite-population correction), proportional allocation, and representativeness validation in Python.
Canadian Health Outcomes Analytics: A Python-based data science project exploring correlations between physical activity levels and health outcomes (BMI/Obesity) using the StatCan CCHS dataset.
Open-source harmonization of U.S. higher-education survey data into reproducible analytical panels, using Reconstructive Harmonization across methodological discontinuities. Integrates NSF/NCSES surveys: HERD (R&D expenditure) and Federal S&E Support (federal funding).
autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.
This repository contains the data, code, and supplementary material for the paper "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion" by Leah von der Heyde, Anna-Carolina Haensch, and Alexander Wenz, available at https://doi.org/10.1177/08944393251337014
Replication code for Gieng (2026), "Measurement Is Not Passive: Identification of Treatment Effects When Outcomes Are Elicited Rather Than Observed."
Analysis code for the reconstruction and validation of the ENAFyD 2024 physical activity index.
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