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Philip D. Waggoner
Philip D. Waggoner
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
performance: An R package for assessment, comparison and testing of statistical models
D Lüdecke, MS Ben-Shachar, I Patil, P Waggoner, D Makowski
Journal of Open Source Software 6 (60), 2021
17452021
Are samples drawn from Mechanical Turk valid for research on political ideology?
S Clifford, RM Jewell, PD Waggoner
Research & Politics 2 (4), 2053168015622072, 2015
8182015
The shape of and solutions to the MTurk quality crisis
R Kennedy, S Clifford, T Burleigh, PD Waggoner, R Jewell, NJG Winter
Political Science Research and Methods 8 (4), 614-629, 2020
6332020
Performance: assessment of regression models performance
D Lüdecke, D Makowski, P Waggoner, I Patil
R package version 0.4 5, 2020
625*2020
Package ‘effectsize’
MMS Ben-Shachar, D Makowski, D Lüdecke, I Patil, BM Wiernik, K Kelley
Retrieved June, 2023
120*2023
Insight: A unified interface to access information from model objects in R
D Lüdecke, PD Waggoner, D Makowski
Journal of Open Source Software 4 (38), 1412, 2019
972019
Detecting fraud in online surveys by tracing, scoring, and visualizing IP addresses
PD Waggoner, R Kennedy, S Clifford
Journal of Open Source Software 4 (37), 1285, 2019
512019
see: an R package for visualizing statistical models
D Lüdecke, I Patil, MS Ben-Shachar, BM Wiernik, P Waggoner, ...
Journal of Open Source Software 6 (64), 3393, 2021
442021
Easystats: Framework for easy statistical modeling, visualization, and reporting [R package]. CRAN
D Lüdecke, MS Ben-Shachar, I Patil, BM Wiernik, E Bacher, R Thériault, ...
42*2022
Package ‘performance’: assessment of Regression Models performance. R package version 0.4. 4
D Lüdecke, D Makowski, P Waggoner
41*2020
Assessment, testing and comparison of statistical models using R
D Lüdecke, MS Ben-Shachar, I Patil, P Waggoner, D Makowski
Journal of Open Source Software 6 (59), 3112, 2021
382021
Assessment of regression models performance. CRAN
D Lüdecke, D Makowski, P Waggoner, I Patil, MS Ben-Shachar
CRAN, 2020
372020
Trust in public policy algorithms
RP Kennedy, PD Waggoner, MM Ward
The Journal of Politics 84 (2), 1132-1148, 2022
342022
Unsupervised machine learning for clustering in political and social research
PD Waggoner
Elements in Quantitative and Computational Methods for the Social Sciences, 2020
212020
Measuring media freedom: An Item Response Theory analysis of existing indicators
JA Solis, PD Waggoner
British Journal of Political Science 51 (4), 1685-1704, 2021
192021
See: Visualisation toolbox for’easystats’ and extra geoms, themes and color palettes for’ggplot2’
D Lüdecke, MS Ben-Shachar, P Waggoner, D Makowski
R package version 0.5 1, 2020
182020
Uncovering the online social structure surrounding COVID-19
PD Waggoner, RY Shapiro, S Frederick, M Gong
Journal of Social Computing 2 (2), 157-165, 2021
162021
Do constituents influence issue-specific bill sponsorship?
PD Waggoner
American Politics Research 47 (4), 709-738, 2019
162019
How Venezuela’s economic crisis is undermining social science research—about everything
R Kennedy, S Clifford, T Burleigh, P Waggoner, R Jewell
Washington Post, 2018
13*2018
The shape of and solutions to the MTurk quality crisis (SSRN Scholarly Paper No. ID 3272468)
R Kennedy, S Clifford, T Burleigh, R Jewell, P Waggoner
Retrieved from Social Science Research Network website: https://papers. ssrn …, 2018
132018
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