Thickly Descriptive Quantitative Data: How producing large-n datasets out of primary material can mislead us and what to do about it

• In Event: Measurement Challenges

Brief Overview

This research offers a theoretical framework, highlights pitfalls, and offers strategies for generating large-n observational datasets.

Authors

• Sarah Dreier, University of New Mexico, Main Campus

• Emily Kalah Gade, University of Oregon