Academic literature on the topic 'Congressional Behavior'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Congressional Behavior.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Congressional Behavior"
Witko, Christopher, and Sally Friedman. "Business Backgrounds and Congressional Behavior." Congress & the Presidency 35, no. 1 (March 2008): 71–86. http://dx.doi.org/10.1080/07343460809507652.
Full textMouw, Calvin J. "MACROPARTY BEHAVIOR IN CONGRESSIONAL ELECTIONS." Southeastern Political Review 22, no. 3 (November 12, 2008): 445–66. http://dx.doi.org/10.1111/j.1747-1346.1994.tb00339.x.
Full textJewitt, Caitlin E., and Sarah A. Treul. "Ideological Primary Competition and Congressional Behavior." Congress & the Presidency 46, no. 3 (May 7, 2019): 471–94. http://dx.doi.org/10.1080/07343469.2019.1600173.
Full textBaik, Chang Jae. "Theorizing Congressional Behavior: Mayhew and Fenno Reconsidered." Journal of Korean Politics 26, no. 3 (October 31, 2017): 277–302. http://dx.doi.org/10.35656/jkp.26.3.10.
Full textClausen, Aage R., and Glenn R. Parker. "Homeward Bound: Explaining Changes in Congressional Behavior." Political Science Quarterly 103, no. 1 (1988): 167. http://dx.doi.org/10.2307/2151156.
Full textde Figueiredo, John M. "Committee jurisdiction, congressional behavior and policy outcomes." Public Choice 154, no. 1-2 (July 23, 2011): 119–37. http://dx.doi.org/10.1007/s11127-011-9813-z.
Full textMartin, Andrew D. "Congressional Decision Making and the Separation of Powers." American Political Science Review 95, no. 2 (June 2001): 361–78. http://dx.doi.org/10.1017/s0003055401002180.
Full textUslaner, Eric M., M. Margaret Conway, Gary C. Jacobson, and Samuel Kernell. "Interpreting the 1974 Congressional Election." American Political Science Review 80, no. 2 (June 1986): 591–95. http://dx.doi.org/10.2307/1958275.
Full textMCDERMOTT, MONIKA L., and DAVID R. JONES. "Congressional Performance, Incumbent Behavior, and Voting in Senate Elections." Legislative Studies Quarterly 30, no. 2 (May 2005): 235–57. http://dx.doi.org/10.3162/036298005x201536.
Full textTaylor, Andrew J. "Strategic Intercameral Behavior and the Sequence of Congressional Lawmaking." American Politics Research 36, no. 3 (October 26, 2007): 451–74. http://dx.doi.org/10.1177/1532673x07308513.
Full textDissertations / Theses on the topic "Congressional Behavior"
Szczublewski, Kenneth J. "The V-22: a turning point in Congressional behavior?" Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/24100.
Full textWhy do legislators vote for some defense programs but against others? This issue is especially important now that Congress faces the need to cut defense programs while preserving U.S. security. The history of the V-22 offers a prime case study for examining congressional voting behavior for the post-Cold War era. This thesis reviews the literature on three possible explanations for congressional voting behavior: parochialism (the desire to benefit constituents), the Military-Industrial Complex or MIC (where votes are "bought" by industry campaigns contributions), and the personal preferences of individual members. The thesis uses logit equation to test and assess the validity of these hypothesis in the case of the V-22. No reliable connection was found between personal preference and voting on the V-22. Liberal Democrats that were assumed to be "dovish" on defense spending were just as likely as "hawkish" conservative Republicans to support this program. Nor was any evidence found to support the MIC hypothesis that voting is driven by PAC dollars. The likelihood of a representative supporting the V-22 actually decreased as PAC contributions increased. The parochial hypothesis was supported in the House but not in the Senate. Further research is required to find alternative explanations for defense voting behavior in the post-Cold War era.
Strizek, Gregory A. "A strategic theory of party behavior in congressional primary campaigns /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487949508370053.
Full textCook, James Matthew. "The social structure of political behavior: Action, interaction and congressional cosponsorship." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/290367.
Full textCohen, Alexander H. "Climate, weather, and political behavior." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1214.
Full textCottrill, James B. "A product of the environment: environmental constraint, candidate behavior and the speed of democracy." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1549.
Full textWriter, Eddie. "A quantitative comparative analysis of voters' economic concern, congressional approval, and voting behavior in 2012." Thesis, University of Phoenix, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3707415.
Full textIn charge of a $15 trillion budget, the U.S. Congress functions as the largest business entity in the world. After the 2008 financial crisis, an increasing number of Americans became concerned about congressional leaders’ ability to handle business-related issues, such as high unemployment, housing foreclosures, declining stock prices, and business bankruptcies. Struggling to recover in a sluggish economy, Americans had the opportunity to communicate their approval or disapproval of congressional leaders’ handling of the U.S. economy in the midterm congressional election of 2012. To investigate how, if at all, Americans’ voting behavior in 2012 may have varied by their economic concern regarding the U.S. economy and approval of congressional leaders, an analysis of the American National Electoral Studies (ANES) survey was conducted. A quantitative study with a descriptive comparative design was conducted to analyze the ANES pre- and post- 2012 election surveys. While no significant differences were detected by gender (H1 - gender), economic concern differed significantly by age (H1 - age), education (H1 - education), political party (H2), state (H3), and congressional district (H4). Similarly, congressional approval varied significantly by all voter background variables (H5 - demographics, H6 - political party, H7 - state, and H8 - congressional district). Data analysis revealed that congressional approval varied significantly by a voter’s level of economic concern (H9). Additionally, frequency of voting differed significantly by participants’ economic concern and congressional approval (H10).
Hussain, Rezwan. "Voting with their Feet: Migration, Partisanship, and Party-Safe Elections in Florida." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/510.
Full textMayer, Eva [Verfasser]. "U.S. Government in Times of Crisis : How Securitization Shaped Congressional Behavior after 9/11 / Eva Mayer." Baden-Baden : Nomos Verlagsgesellschaft mbH & Co. KG, 2018. http://d-nb.info/1175742937/34.
Full textWilson-Hart, Jessica H. "Culture Wars: Explaining Congressional Partisanship and Organizational Dysfunction Through Moral Foundations Theory." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2244.
Full textHarpuder, Brian Eric. "Electoral behavior in U.S. senate elections, a simultaneous choice model." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1069347453.
Full textTitle from first page of PDF file. Document formatted into pages; contains xvi, 209 p. Includes bibliographical references (p. 201-209). Available online via OhioLINK's ETD Center
Books on the topic "Congressional Behavior"
Gertzog, Irwin N. Congressional women: Theirrecruitment, integration, and behavior. 2nd ed. Westport, Conn: Praeger, 1995.
Find full textHomeward bound: Explaining changes in congressional behavior. Pittsburgh, PA: University of Pittsburgh Press, 1986.
Find full textR, Parker Glenn. Characteristics of Congress: Patterns in congressional behavior. Englewood Cliffs, N.J: Prentice Hall, 1989.
Find full textCongressional women: Their recruitment, integration, and behavior. 2nd ed. Westport, Conn: Praeger, 1995.
Find full textSzczublewski, Kenneth J. The V-22: A turning point in Congressional behavior? Monterey, Calif: Naval Postgraduate School, 1992.
Find full textThe color of representation: Congressional behavior and Black interests. Ann Arbor: University of Michigan Press, 1997.
Find full textBernstein, Robert A. Elections, representation, and congressional voting behavior: The myth of constituency control. Englewood Cliffs, N.J: Prentice-Hall, 1989.
Find full textOffice, General Accounting. Mass transit: Effects of tax changes on commuter behavior : report to congressional requesters. Washington, D.C: GAO, 1992.
Find full textUnited States. Congress. House. Committee on Education and Labor. Youth Suicide Prevention Act: Report together with supplemental views (to accompany H.R. 4650) (including cost estimates of the Congressional Budget Office). [Washington, D.C.?: U.S. G.P.O., 1986.
Find full textAnne-Renee, Testa, ed. Glass houses: Shocking profiles of congressional sex scandals and other unofficial misconduct. New York: St. Martin's Press, 1998.
Find full textBook chapters on the topic "Congressional Behavior"
"Congressional Behavior." In Presidential Leadership, 21–45. Routledge, 2017. http://dx.doi.org/10.4324/9781315127347-2.
Full textGrenzke, Janet. "Money and Congressional Behavior." In Money, Elections, and Democracy, 143–64. Routledge, 2019. http://dx.doi.org/10.4324/9780429044229-10.
Full textLotrionte, Catherine B. "Cyber-Search and Cyber-Seizure." In Cyber Behavior, 471–514. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5942-1.ch025.
Full textHENEHAN, MARIE T. "Long-Term Trends in Congressional Foreign Policy Behavior:." In Divided Power, 149–66. University of Arkansas Press, 2005. http://dx.doi.org/10.2307/j.ctv1rm25w4.9.
Full textWineinger, Catherine N. "Conclusion." In Gendering the GOP, 153–68. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197556542.003.0006.
Full textTate, Katherine. "Studying Changes in Black Congressional Behavior from Carter to Obama." In Black Politics in a Time of Transition, 115–16. Routledge, 2017. http://dx.doi.org/10.4324/9781351313728-10.
Full textLatimer, Christopher. "Using Presidential Popularity for Understanding the Relationship between President Bush and Congressional Republicans' Online Campaigning." In Political Campaigning in the Information Age, 197–209. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6062-5.ch011.
Full textLatimer, Christopher. "Using Presidential Popularity for Understanding the Relationship between President Bush and Congressional Republicans' Online Campaigning." In Public Affairs and Administration, 1409–21. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8358-7.ch069.
Full textKriner, Douglas L., and Eric Schickler. "Investigations and Public Opinion." In Investigating the President. Princeton University Press, 2016. http://dx.doi.org/10.23943/princeton/9780691171852.003.0003.
Full textLapinski, John S. "Bringing Policy Issue Substance Back In." In The Substance of Representation. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691137810.003.0002.
Full textConference papers on the topic "Congressional Behavior"
Irfan, Mohammad T., and Tucker Gordon. "The Power of Context in Networks: Ideal Point Models with Social Interactions." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/858.
Full textReports on the topic "Congressional Behavior"
de Figueiredo, John. Committee Jurisdiction, Congressional Behavior and Policy Outcomes. Cambridge, MA: National Bureau of Economic Research, June 2011. http://dx.doi.org/10.3386/w17171.
Full textLalisse, Matthias. Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach. Institute for New Economic Thinking Working Paper Series, February 2022. http://dx.doi.org/10.36687/inetwp178.
Full text