Academic Writing in Political Science: Advice from a Recent Graduate Student. Jeffrey A. Taylor University of Maryland Writing Fellow

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Academic Writing in Political Science: Advice from a Recent Graduate Student Jeffrey A. Taylor University of Maryland Writing Fellow 2013

This guide is designed to serve as a reference for political science graduate students. The following pages include advice tailored to writing a research article or dissertation chapter fit for publication. I have also included instructions and examples for producing high-quality tables in Excel (see the associated Examples Excel file for further formatting information). Although many guidelines apply to academic writing in general, this guide is not meant to serve as a comprehensive resource, and I encourage students to also read the publications listed under Further Reading. The guide proceeds as follows: first is a list of best practices designed to help students develop their writing skills. I found many of these suggestions helpful during my time in graduate school, and I carry with me many of the good habits I developed. Second is a detailed description of the sections of a typical research paper / journal article, with examples included. The final section provides examples of tables. General Best Practices Most writing guides will tell you that no two writers are the same. Like painters or sculptors, each writer has developed his or her approach to the creative process. Despite their differences, great writers tend to have two things in common. First, they have spent countless hours practicing writing, and second, they have sought out and listened to constructive criticism. Here are some tips to help you practice and improve your academic writing skills: Build writing into your daily routine. Pick a time during the day when you are best able to write. For example, I write best first thing in the morning. There are fewer distractions early in the day. What is more, getting something on paper first thing provides me with a great sense of accomplishment. This isn t to say everyone should write first thing in the morning; others write better in the middle of the day, or the middle of the night. Pick the time that works for you, and try to maintain the routine. Use outlines. Take a look at any published article in a widely-read political science journal; you ll notice that they all follow a logical, well-thought-out structure. Sections flow logically from one to the next, paragraphs flow logically by subject within sections, and sentences are organized within paragraphs. One strategy to build a well-organized paper is to start with an outline in a word document, and then write in paragraphs under each heading. Once you are finished, simply remove the numbers or bullets. This approach also makes it easier to rearrange sections later on. Seek out opportunities to get feedback. Comments are valuable, particularly when they come from a reader who takes the time to read your work closely and critically. When an opportunity comes along to get meaningful feedback, don t let it pass you by, and don t be afraid to show others your work! The Department of Government and Politics provides excellent opportunities to receive meaningful feedback through on campus workshops (e.g., the American Politics Workshop, IR Workshop, Comparative Politics Workshop). Edit and revise your own work. Even experienced writers go through multiple drafts. Before you show you work to anyone (or send it out for review), you should be absolutely sure that it is clean, well-organized, and free of serious errors. Make sure that you are giving your best work (i.e., not an early draft) to those who read and provide

comments for you. The more polished your work, the better the comments you will receive (this applies particularly to conference presentations). Use the computer to your advantage. By this I mean take advantage of the many tools of modern word processors. For example, if you find yourself using the same word over and over again, highlight the word and pull up the Thesaurus to find alternatives. If you think you are repeating yourself, use the Find function in Word to search for similar text. If you change the name of a variable, use the Find and Replace function to change it throughout the text. The more you take advantage of these time saving features, the more time you have to focus on the craft of writing. The Research Paper and the Journal Article As a political scientist, every research paper you write should be designed with an eye towards eventually submitting the work for publication. Journal articles all follow a similar structure: 1. Introduction 2. Literature Review 3. Hypotheses (often come at the end of the literature review) 4. Data and Methods 5. Results 6. Discussion / Conclusion Introductions The first paragraph should draw readers in and place your work within the broader literature. These few sentences are among the most important in the paper because they influence how closely a reviewer or editor will read your work. A compelling introduction inspires a close read, whereas a lackluster one may encourage a reader to lose interest by the second page. One approach is to go from general to specific : start by stating the broad importance of the topic under discussion, then describe the narrower question addressed by your study. This strategy draws in a broader audience and indicates that your research has broader implications. Look to articles in some of the top journals for examples; while there is no best way to start a manuscript, many take this approach. Here s an example of an opening paragraph that starts the paper off with general statements: One of the key decisions legislators face when crafting a legislative agenda is how much time and energy to devote to the needs of the local interests in their district. Some devote significant effort, whereas others spend more time building a career on broader issues that affect the entire state or nation. Whether a legislator chooses to devote limited time to local concerns or focus on more broad issues has important implications for the character and quality of representation his or her constituents receive. Readers should always find your research question (clearly stated) in the third or fourth paragraph. This question should follow logically from your opening paragraphs. Here s an example:

The results of some studies call the traditional perspective into question and suggest the opposite: that MMD legislators are in fact more likely than those elected in SMDs to advocate for local interests, and are in many cases able to direct more state funding to their home district (Dauer 1966; Snyder and Ueda 2007). To address this debate, I examine one question: how does district magnitude (the number of legislators elected from a district) influence local attention? The final paragraph of your introduction typically gives the reader a brief preview of how you will address the research question (i.e., what data you will use, how you will code it, etc.). Some articles also give readers a preview of the results, particularly if the findings are surprising or unexpected. Literature Reviews It is important that your literature is well organized and follows a logical structure. Too often literature reviews seek to cover the bases by citing everything that could possibly be relevant. It is typically best to organize the paragraphs within your literature review by subject rather than by author or chronologically. For example, you might structure a literature review of research on the structure of legislative districts and the representation of racial and ethnic minorities as follows, with sentences within each paragraph describing the relevant literature: 1. Paragraph 1: General explanations for the relationship between districting and minority representation. 2. Paragraph 2: Research on the effects of district structure on minority s willingness to enter politics. 3. Paragraph 3: Research on the effects of district structure on minority candidates electoral success. Here s a more detailed example. The following paragraph describes the motivations that drive legislators to respond to local interests. The next paragraph segues into the effects of electoral structures on these incentives, followed by relevant literature related to that subject. Legislators respond to the concerns of the district constituency in part because these efforts generate electoral benefits (Arnold 1990; Fenno 1978; Mayhew 1974b). They introduce legislation pertaining to local interests and issues to claim credit for accomplishments that many of the voters in their district consider to be important (Ferejohn 1974; Mayhew 1974b). Electoral structures influence these incentives and the behavior of elected officials. Recognizing this, scholars have long thought that district magnitude influences attention to the needs of the district. However, the current scholarship offers two contradictory perspectives. The first predicts that multimember as opposed to single member districts discourage legislators from working for local interests because MMD legislators have weaker ties to district constituents, reducing the incentive to work with local interests and secure pork (Jewell 1982b; Lancaster 1986). Legislators who are the sole representatives of a district are expected to have stronger ties to local constituents because they are exclusively reliant on the district voters for reelection (Dahl and Lindblom 1953). Also in

support of the first perspective, some have argued that local representation may be more difficult for MMD representatives because of the incentive to free ride on the efforts of ones district mates. Because legislators in MMDs share a constituency, credit for locally oriented legislative achievements may be shared among the members of the delegation, reducing the benefit each legislator receives (Ashworth and Bueno De Mesquita 2006; Hamilton 1967; Klain 1955). Hypotheses are typically stated at the end of the literature review and follow from the discussion. They should be stated clearly as a prediction of a relationship, and they should be in the present tense. Here is an example of a hypothesis predicting that one group of legislators will behave differently from another (a comparison). H1: Legislators elected in MMDs sponsor more legislation pertaining to local constituent concerns than those elected in SMDs. Hypotheses may also predict the direction of a relationship between two variables. Typically, the best way to format these is to state: As X increases / decreases, Y will also increase / decrease. For example: H2: As competition increases, a candidate s likelihood of joining a district-specific joint campaign committee also will increase. Data and Methods This section should convince the reader that the data you have chosen the appropriate data and methods to evaluate your hypotheses. You should spend adequate time explaining why these data are appropriate. Are you evaluating only one specific case? Why is this a good example of the phenomenon you re studying? Is it possible that scholars using different data could come to different conclusions? Note that while no data set is perfect, you need to convince readers that yours provides at least an accurate (i.e., unbiased) picture of what you re studying. For example, the following paragraph is from a study that relies on data from only a few states, but makes the case that these states are generally representative of many states: The laws that govern campaigns and elections in these states are also representative of many states in the U.S. They are similar to most states in that they limit contributions to candidates for the state legislature. Maryland, Vermont and New Jersey each place limits on the total contributions from individual contributors, businesses, and political action committees (PAC) to candidates that are close to the national average for all states. Arizona s campaign finance regulations are more strict than most; contributions limits for individuals, businesses, and PACs are much lower in Arizona than other states, and contributions from unions and corporations to candidates for the state legislature are prohibited entirely.

The length of the methods section will depend on the type of paper and the audience. If you are replicating previous studies using the same methods but with new data, for example, it may be sufficient to explain in one sentence that you adopt the same approach as those authors and cite their studies. More creative and new methods or measures always require more explanation. Regardless of the method you use, always describe the variables you use in your analyses individually, and take care to explain why they belong in your models. Results This section walks the reader through your findings. A good way to start is to revisit your research question to remind readers of what you are looking for, and then give a brief general summary of what you found. Here s an example: Do representatives elected in MMDs produce more legislation than others? The results suggest that the answer is more complex than previously thought. Serving in an MMD reduces productivity, holding all else constant; however, MMD legislators are often able to take advantage of influential district mates to draft more legislation than others. This general discussion is then followed by a more detailed description of your findings, including any tables and figures you have (see the Tables: Formatting Guidelines and Examples section for advice on presenting findings in formal tables). You should always reference the table in the text before including it. Here s an example: Table 3 shows the results the negative binomial regressions for the Maryland House of Delegates. In Maryland, legislators in two and three member districts sponsored and signed into law significantly fewer bills, on average, than those in SMDs, holding all else constant. The characteristics of one s district mates, however, were also important to legislative production. Delegates serving in MMDs with one or more majority party member district mates were able to sponsor and pass significantly more legislation than others. Those serving with party leader district mates did not sponsor more legislation than others, but they did pass more legislation than others on average, suggesting that party leaders may help their district mates move legislation through the process. [Insert Table 3 about here] Always include a discussion of both the statistical and substantive impact of each variable in the text. In most circumstances, you need to put the size of the effect into context for the reader. Here s an example: In Maryland, candidates who spend an additional $100,000 through their localized joint fundraising committee receive an average vote share increase of 0.018. Although the effect appears to be small, by this measure, in Maryland state legislative contests, more than 4 percent of contests were decided by margins smaller than 0.018.

The above paragraph is important to include because the scale of the dependent variable results in seemingly small effects. Therefore, it is incumbent upon you, as the author, to put those effects into context. Discussions and Conclusions The final sections are the discussion and conclusions. Sometimes these sections are combined (i.e. Discussion and Conclusions ), and some authors choose to include only a Conclusion. These are matters of preference. Regardless of the heading, these final paragraphs always follow a similar format. The final paragraphs do not simply repeat the findings of the study. Rather, they place the findings in a broader context, describe their implications, and make suggestions for future studies. An excerpt from a concluding section illustrates the point: Notably, the results call into question the premise of one of the most common arguments against electing officials in MMDs: that they result in representatives who are less attentive to the needs of the home district. Politicians such as Senator Manchin, in the quote that leads this chapter, have invoked this argument in an effort to convince others to eliminate MMDs, saying that SMD representatives tend to be more attentive to their constituents. The argument is in need of revision. The findings instead support the latter perspective, that district magnitude encourages local attention, at least among legislators elected in the MMD plurality elections currently used to elect some state legislators in the United States. MMD legislators also indicated that sharing a constituency with another representative allowed them to divide up the task of responding to local concerns, giving them the opportunity to work with a broader range of interests than they would have without a district mate. Furthermore, sharing a district with a legislator from the same party has been shown to discourage local attention, suggesting that party affiliation may play a more complex role in the way MMD legislators represent their constituents. More broadly, the results also indicate that district magnitude and the presence of copartisan district-mates influence how legislators craft a legislative agenda and build a political career. Future research should evaluate the relationship between local attention and district magnitude in different contexts. For example, a multitude of local and special governments in the U.S. utilize MMDs to elect at least some representatives

Tables: Formatting Guidelines and Examples General guidelines for tables: 1. Include a descriptive title. 2. Use double horizontal lines indicating the boundaries of the table. Feel free to borrow formatting from this guide or tables from a published article. 3. Include both a source and a notes section below the table. The notes should be descriptive, and should provide enough information so that the table could stand alone without further in-text description. In general, Excel provides the most versatile platform for formatting tables. See the associated Excel document (TableExamples) for copies of all tables in this guide in Excel format. Once formatted in Excel, tables can be pasted directly into a Word document. TIP: When pasting into Word, use the Autofit command (located under Table Tools Layout ) to help distribute the table contents correctly.

Table Examples Descriptive Table Table 1: Geographic Codes for Maryland General Assembly Legislation Bill Number Session Title Affected Constituents Geographic Code HB 1328 2008 Criminal Law - Death State State Penalty - Repeal HB 525 2009 State Government - State State Commemorative Months - Black History Months HB 1207 2010 Deer Hunting on Calvert County County Private Property on Sundays* HB 914 2010 Cecil County Property Tax Rate - Constant Yield Tax Rate Cecil County County HB 1334 2009 Baltimore City Charter - East Baltimore Community Benefits District Baltimore / East Baltimore Municipal HB 1383 2009 Town of University Park Employees - Participation in the Employees' Pension System University Park Municipal Source: Compiled using data provided by the Maryland General Assembly and the Sunlight Foundation. *Although the title of HB 1207 does not mention a specific county, the text of the bill states that the provisions of the law would only apply to residents of Calvert County.

Cross Tabulation Table 4-2: Geographic Scope of Legislation by State Maryland Vermont Arizona State 73.19% 86.65% 86.31% County 12.33 0.5 0.53 Municipal 3.34 4.53 0.8 Specific Group 9.19 2.02 1.27 General Local 1.6 5.04 10.82 Other/Combination 0.35 1.26 0.27 N 2,000 794 1,500 Source: Compiled using data provided by the Maryland General Assembly, the Vermont Legislature, the Arizona State Legislature, and the Sunlight Foundation. Notes: Legislative actions include bills sponsored and cosponsored by lower-chamber legislators. The sample is drawn from the 2007 through 2010 sessions of the Maryland General Assembly, the 2009-2010 session of the Vermont House of Representatives, and the 2009, 2010, and 2011 sessions of the Arizona House of Representatives. χ 2 =753.71, p<.001. Tables: Regression Results A multivariate regression shows the relationships between multiple explanatory variables and a dependent variable. Tables displaying regression output should follow a number of specific guidelines: 1. The title should indicate what you are examining: i.e., the relationship between a dependent variable of interest and one or more key explanatory variables. 2. The title should also indicate the data that make up your sample. This is particularly important if the regression only includes a subset of a larger data set. 3. Include both the coefficient and the standard error. When displaying multiple regressions on the same dependent variable, it is permissible to include standard errors in parentheses below coefficient estimates. 4. Group explanatory variables by subject matter. Typically, control variables fall into a number of categories, and many models include multiple measures of a similar concept (e.g., legislator characteristics, district demographics, etc.). Grouping these by subject helps communicate the overall effects of each class of control variable, and makes it easier for the reader to understand and compare the importance of your key independent variables in relation to the controls. 5. Include a source and notes section. The notes section should indicate the type of regression (e.g., OLS, Poisson, Logistic), as well as the procedure used to estimate the standard errors (e.g., robust, clustered, bootstrapped, etc.). When using stars to indicate statistical significance, include the legend for the star levels in the notes section. 6. Include the R-squared or Adjusted R-squared when reporting OLS regression coefficients. When reporting the results of a Logistic regression, it is customary to include the Log-likelihood.

Regression Output Example Table 4: The Impact of District Magnitude on the Percentage of Local Legislative Action of Maryland Delegates Standard Coefficient Error District Magnitude Two member district 0.060* (0.045) Three member district 0.070* (0.043) Shared Party Affiliation Shared Party Affiliation -0.045 (0.040) Shared Party Affiliation x Democrat -0.004 (0.030) Demand for Local Legislation Number of Counties Represented 0.036** (0.012) Number of Municipalities Represented -0.001 (0.003) Area -0.000 (0.000) Legislator Characteristics Total Bills Sponsored -0.001** (0.000) Leadership 0.047* (0.029) Committee Chair 0.061** (0.025) Appropriations Committee 0.007 (0.014) Democrat 0.035* (0.027) Tenure <0.001 (0.001) Served Partial -0.036** (0.012) Legislative Sessions Session 2008-0.081** (0.007) Session 2009-0.069** (0.008) Session 2010-0.087** (0.008) Constant 0.137** (0.028) Adjusted R-squared 0.282 N 565 Source: Compiled using data provided by the Maryland General Assembly, the Vermont Legislature, the Arizona State Legislature, the Sunlight Foundation, and the United States Census Bureau. Notes: Coefficients are ordinary least squares regression coefficients. Standard errors are corrected for clustering. **p<0.05 *p<0.10, one tailed tests.

Further Reading Bolker, Joan. 1998. Writing Your Dissertation in Fifteen Minutes a Day: A Guide to Starting, Revising, and Finishing your Doctoral Thesis. Owl Books: New York. Harman, Eleanor et al. The Thesis and the Book: A Guide for First-Time Academic Authors. University of Toronto Press. Miller, Jane E. 2005. The Chicago Guide to Writing about Multivariate Analysis. Chicago: University of Chicago Press. Swales, John M. and Christine B. Feak. 2012 Academic Writing for Graduate Students: Essential Tasks and Skills. Ann Arbor: University of Michigan Press.