Philip D. Waggoner
Journal of Open Source Software · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Philip D. Waggoner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Philip D. Waggoner overall
Papers from Philip D. Waggoner's perspective
Ordered by how strongly the researchers Philip D. Waggoner trusts endorse each paper. Same corpus, a different order for every researcher.
- An R Companion to Applied Regression
- bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework (Journal of Open Source Software)
- Methods and Algorithms for Correlation Analysis in R (Journal of Open Source Software)
- Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
- Reputation as a sufficient condition for data quality on Amazon Mechanical Turk (Behavior Research Methods)
- Comparing data characteristics and results of an online factorial survey between a population-based and a crowdsource-recruited sample
- The Generalizability of Survey Experiments* (Journal of Experimental Political Science)
- R: A language and environment for statistical computing.
- Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants (Behavior Research Methods)
- Inside the Turk
Their papers
- performance: An R Package for Assessment, Comparison and Testing of Statistical Models (2021) — 4,679 citations
- The shape of and solutions to the MTurk quality crisis (2020) — 541 citations