Andrew Q. Philips
University of Colorado Boulder
H-index: 12
North America-United States
Top articles of Andrew Q. Philips
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Look over there. Where? A compositional approach to the modeling of public opinion on the most important problem | Social Science Quarterly | Steven Jokinsky Christine S Lipsmeyer Andrew Q Philips Laron K Williams Guy D Whitten | 2024/4/2 |
Does job insecurity shape policy preferences? An experimental manipulation of labor market risk | The Journal of Politics | Mallory E Compton Andrew Q Philips | 2024/4/1 |
How Do We Know What We Know? Learning from Monte Carlo Simulations | The Journal of Politics | Vincent Hopkins Ali Kagalwala Andrew Q Philips Mark Pickup Guy D Whitten | 2024/1/1 |
Synthesize This: Meta-Analysis as a Dissertation Tool | PS: Political Science & Politics | Christopher Jackson Andrew Q Philips | 2024/1 |
Supplementary information for:“Synthesize this: Meta-analysis as a dissertation tool” | Christopher Jackson Andrew Q Philips | 2023/5/24 | |
The politics of budgets: Getting a piece of the pie | Christine S Lipsmeyer Andrew Q Philips Guy D Whitten | 2023/3/23 | |
How to cautiously uncover the “Black Box” of machine learning models for legislative scholars | Legislative Studies Quarterly | Soren Jordan Hannah L Paul Andrew Q Philips | 2023/2 |
Improving the interpretation of random effects regression results | Political Studies Review | Soren Jordan Andrew Q Philips | 2023/2 |
A moveable benefit? Spillover effects of quotas on women’s numerical representation | Political Research Quarterly | Komal Preet Kaur Andrew Q Philips | 2023/6 |
What goes up must come down: Theory and model specification of threshold dynamics | Social Science Quarterly | Hannah L Paul Andrew Q Philips | 2022/9 |
Point break: using machine learning to uncover a critical mass in women's representation | Political Science Research and Methods | Kendall D Funk Hannah L Paul Andrew Q Philips | 2022/4 |
Online Appendix for How to Cautiously Uncover the ‘Black Box’of Machine Learning Models for Legislative Scholars | Soren Jordan Hannah L Paul Andrew Q Philips | 2022 | |
Integrating the Use of Statistical Software into Undergraduate Political Methodology Courses | PS: Political Science & Politics | David S Brown Katherine V Bryant Andrew Q Philips | 2022/1 |
How to avoid incorrect inferences (while gaining correct ones) in dynamic models | Political Science Research and Methods | Andrew Q Philips | 2022/10 |
Supplemental Information to:“How to Avoid Incorrect Inferences (While Gaining Correct Ones) in Dynamic Models” | Andrew Q Philips | 2021/5/15 | |
What about the rest of the pie? A dynamic compositional approach to modeling inequality | Social Science Quarterly | Ali Kagalwala Andrew Q Philips Guy D Whitten | 2021/7 |
Does the@ realDonaldTrump really matter to financial markets? | American Journal of Political Science | Allyson L Benton Andrew Q Philips | 2020/1 |
An easy way to create duration variables in binary cross-sectional time-series data | The Stata Journal | Andrew Q Philips | 2020/12 |
Exploring meaningful visual effects and quantities of interest from dynamic models through dynamac | Journal of Open Source Software | Soren Jordan Andrew Q Philips | 2020/10/10 |
A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie | The Stata Journal | Yoo Sun Jung Flávio DS Souza Andrew Q Philips Amanda Rutherford Guy D Whitten | 2020/9 |
Co-Authors
