Publications

Volatile pies: Modeling compositional volatility.
Eastman, Abbie, Andrea Junqueira, Ali Kagalwala, Andrew Q. Philips and Guy D. Whitten. 2024. Social Science Quarterly 105(4): 965-979.

Bad times keep us together: Policy priorities and economic shocks.
Lipsmeyer, Christine S., Andrew Q. Philips, Amanda Rutherford and Guy D. Whitten. 2024. Social Science Quarterly 105(4): 934-947.

Look over there. Where? A compositional approach to the modeling of public opinion on the Most Important Problem.
Jokinsky, Steven, Christine S. Lipsmeyer, Andrew Q. Philips, Laron Williams and Guy D. Whitten. 2024. Social Science Quarterly 105(4): 913-933.

Does job market insecurity shape policy preferences? An experimental manipulation of labor market risk
Compton, Mallory and Andrew Q. Philips. 2024. The Journal of Politics 86(2): 1-6.

How do we know what we know? Learning from Monte Carlo simulations
Hopkins, Vincent, Ali Kagalwala, Mark Pickup, Andrew Q. Philips and Guy D. Whitten. 2024. The Journal of Politics 86(1): 36-53.

Synthesize this: Meta-analysis as a dissertation tool
Jackson, Christopher and Andrew Q. Philips. 2023. PS: Political Science & Politics 48(1): 165-202.

How to cautiously uncover the ‘black box’ of machine learning models for legislative scholars
Jordan, Soren, Hannah L. Paul and Andrew Q. Philips. 2023. Legislative Studies Quarterly 48(1): 165-202.

Improving the interpretation of random effects regression results
Jordan, Soren and Andrew Q. Philips. 2023. Political Studies Review 21(1): 210-220.

A moveable benefit? Spillover efffects of quotas on women's numerical representation
Kaur, Komal Preet and Andrew Q. Philips. 2023. Political Research Quarterly 76(2): 680-696.

What goes up must come down: Theory and model specification of threshold dynamics
Paul, Hannah L. and Andrew Q. Philips. 2022. Social Science Quarterly 103(5): 1273-1289.

Integrating the use of statistical software into undergraduate political methodology courses
Brown, David S., Katherine V. Bryant and Andrew Q. Philips. 2022. PS: Political Science & Politics 55(1): 210-215.

Point break: Using machine learning to uncover a critical mass in women’s representation
Funk, Kendall D., Hannah L. Paul and Andrew Q. Philips. 2022. Political Science Research and Methods 10(2): 372-390.

How to avoid incorrect inferences (while gaining correct ones) in dynamic models
Philips, Andrew Q. 2022. Political Science Research and Methods 10(4): 879-889.

What about the rest of the pie? A dynamic compositional approach to modeling inequality
Kagalwala, Ali, Andrew Q. Philips and Guy D. Whitten. 2021. Social Science Quarterly 102(4): 1534-1552.

Jordan, Soren and Andrew Q. Philips. 2020. The Journal of Open Source Software 5(54): 2528.

Jung, Yoo Sun, Flávio D.S. Souza, Andrew Q. Philips, Amanda Rutherford and Guy D. Whitten. 2020. The Stata Journal 20(3): 584-603.

Benton, Allyson L., and Andrew Q. Philips. 2020. American Journal of Political Science 64(1): 169-190.

Philips, Andrew Q., Flavio D.S. Souza, and Guy D. Whitten. 2020. Political Science Research and Methods 8(3): 509-525.

Lipsmeyer, Christine S., Andrew Q. Philips, Amanda Rutherford, and Guy D. Whitten. 2019. Political Science Research and Methods 7(3): 523-540.

Lipsmeyer, Christine S., Andrew Q. Philips, and Guy D. Whitten. 2017. Journal of European Public Policy 24(6): 912-930.

Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2016. The Stata Journal 16(3): 662-677.

Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2016. American Journal of Political Science 60(1): 268-283.

Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2015. Electoral Studies 39: 264-274.

\