Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS
Sign Up to like & getrecommendations! Published in 2018 at "Political Analysis"
DOI: 10.1017/pan.2018.33
Abstract: Complex models are of increasing interest to social scientists. Researchers interested in prediction generally favor flexible, robust approaches, while those interested in causation are often interested in modeling nuanced treatment structures and confounding relationships. Unfortunately,… read more here.
Keywords: messy data; data robust; robust inference; navigating obstacles ... See more keywords
Disruption Leads to Methodological and Analytic Innovation in Developmental Sciences: Recommendations for Remote Administration and Dealing With Messy Data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.732312
Abstract: The COVID-19 pandemic has impacted data collection for longitudinal studies in developmental sciences to an immeasurable extent. Restrictions on conducting in-person standardized assessments have led to disruptive innovation, in which novel methods are applied to… read more here.
Keywords: disruption leads; innovation; developmental sciences; remote administration ... See more keywords