In the article titled “Patterns of Asian Americans’ Partisan choice…” we take a look on how this ethnic group tends to support each political party and how they arrive their choice. The dependent variable in this article is party identification itself, with several different independent variables included in the 2009 National Asian American Survey (NAAS). The data is being interpreted and tested through a referenced two-stage sequential choice model and a multinomial logit regression model.
My next source “Personality and the strength and Direction of Partisan Identification;” utilizes a logit model to conduct its study as well. They are taking a look at various personality types and seeing what statistical significance it plays on partisan choice and strength of loyalty to said party. The independent variable in this model is party identification and strength.
“Does Choice Bring Loyalty? Electoral Participation and the Development of Party identification” poses a question; how and or what makes people remain loyal to a particular party? This article does this by using a series of OLS and logit regression models with the 1973 strength of party identification being its dependent variable.
The article by John Ryan and Caitlin Milzaao describes party identification as it relates to the catholic community. The article follows a similar trend of other articles referenced here having party identification as its dependent variable and also utilizing multinomial logit model to study the correlation of data.
In the article on partisan moods, we have party polarization as our dependent variable with the OLS regression model being a statistical method used to interpret the data. This is one method of identifying polarization of parties.
“The Role of Partisanship in Aggregate Opinion” takes a look on the impact that political identification has on economic perceptions (which is my dependent variable). The data is analyzed through static an time varying error correcting models.
My last article that I choose is studying the impact that parents have on the party identification outcome. With the strength of party identification being the dependent variable the author uses a combination of logit regression models and the ACE model to translate the data.

 
References

Dinas, Ellias. 2014. Does Choice Bring Loyalty? Electoral Participation and the Development of Party Identification. American Journal of Political Science, 58(2), 449-465. Retrieved October 19, 2020, from http://www.jstor.org/stable/24363496

Enns, Peter K. and McAvoy, Gregory E. 2012. The Role of Partisanship in Aggregate Opinion. Political Behavior, 34(4), 627-651. Retrieved October 19, 2020, from http://www.jstor.org/stable/23359651

Gerber, Alan; Huber, Gregory; Doherty, David, and Dowling, Conor. 2012. “Personality and the Strength and Direction of Partisan Identification.” Political Behavior 34(4): 653-688 doi: 10.1007/s11109-011-9178-5

Ryan, John Barry and Milazzo, Caitlin. 2015. The South, the Suburbs, and the Vatican Too: Explaining Partisan Change Among Catholics. Political Behavior, 37(2), 441-463. Retrieved October 19, 2020, from http://www.jstor.org/stable/43653231

Settle, Jaime; Dawes, Christopher; and Fowler, James. 2009. The Heritability of Partisan Attachment. Political Research Quarterly, 62(3), 601-613. Retrieved October 19, 2020, from http://www.jstor.org/stable/40232404

Ura, Joseph Daniel and Ellis, Christopher. 2012. Partisan Moods: Polarization and the Dynamics of Mass Party Preferences. The Journal of Politics, 74(1), 277-291. doi:10.1017/s0022381611001587

Zheng, Bang Quan. 2019. “The Patterns of Asian Americans’ Partisan Choice: Policy Preferences and Racial Consciousness.” Social Science Quarterly (Wiley-Blackwell) 100(5): 1593-1608 doi: 10.1111/ssqu.12652