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Political Science

Databases and useful links for research in Political Science.

PLSC 401: Introduction to Research Design & Method

This guide will help you navigate research in political science, with a focus on research design, methodologies, data sources, and citations.

Political science research asks empirical questions—questions that can be answered with evidence. Your project should:

  • Define a clear research question.

  • Review existing literature.

  • Propose a theory or hypothesis.

  • Select appropriate methods and data sources.

  • Explain how evidence will be analyzed.

Searching the Library Catalog

The library catalog is a great place to start your research. Here are some tips to make searching more effective:

Make sure that you sign in. This allows you to see your access options for library materials, save searches, set notifications on saved searches, and save items to your favorites.

Step 1: Define Keywords and Synonyms

Start by identifying the main concepts and any potential synonyms or related terms. For the topic of affordable housing, you might use:

  • Primary Keywords: affordable housing, low-income housing, housing affordability
  • Related Keywords: public housing, housing crisis, rent control, housing policy, urban housing
  • Geographical Focus (if needed): specific cities or regions, e.g., New York, urban, metropolitan

Step 2: Combine Keywords Using Boolean Operators

Use Boolean operators (AND, OR, NOT) to combine keywords effectively:

  • AND to narrow the search (e.g., affordable housing AND policy)
  • OR to expand the search and include synonyms (e.g., affordable housing OR low-income housing)
  • NOT to exclude terms that might clutter your search (e.g., affordable housing NOT rural)

Step 3: Use Advanced Search Techniques

  • Phrase Searching: Use quotation marks to search for exact phrases ("affordable housing").
  • Truncation: Use symbols like asterisks to find multiple forms of a word (hous* to find house, houses, housing).

To get more results, broaden your search.

  • * Use an asterisk to find articles using any of the variants of the same root word.
    • democrac* = democracy, democracies, democratic, etc
  • Use fewer search terms. Look for words not unique to your topic that you could cut from your search string.
  • OR Use OR to link synonyms, so you get articles where the authors used other terms to describe the same concept. 
    • (city OR urban)
    • (participants OR respondents)
  • Use more inclusive search terms.
    • Bigger locations - too few results from los angeles, try california
    • More general terms - too few results from "freedom of assembly", try "first amendment"

To get fewer results, narrow your search.

  • " " Use quotation marks to find exact phrases, when you need words next to each other in precise sequence to have the meaning you intend.
    • "social capital"
    • "civil war"
  • Add more concepts to your search. Consider the who, what, when, where, why, and how.
  • Use narrower, more specific concepts or aspects of your original topic.
    • global climate change => sea level rise
  • Search fewer sources, one top journal at a time.

Scholarly Articles & Books

  • Use Library Catalog and Databases (JSTOR, Project MUSE, Political Science Complete, ProQuest Political Science).

  • Look for literature reviews (e.g., Annual Review of Political Science) to understand existing debates.

Primary Sources

  • Government documents, treaties, constitutions, laws.

  • Speeches, interviews, archival collections.

  • Survey data, polling results, media coverage.

Datasets & Statistics

  • ICPSR (Inter-university Consortium for Political and Social Research) – large archive of political and social data.
  • World Bank Data, UN Data, Pew Research Center, Eurobarometer, ANES (American National Election Studies).

  • Chicago Area Resources: archival methods and special collections UChicago Political Science methods tools

Grey Literature & Policy Sources

  • Think tanks (Brookings, RAND, Cato, Carnegie).

  • NGO reports.

  • White papers and working papers.

 

Databases

Find Data & Statistics

Before you start your search consider:

  • What is your research question? What type of data or statistical information do you need?
  • Who or what organizations are also interested in your research question? Who would create or manage that information? What data sources have been used to answer topics related to the same or similar research questions (for example, those found in literature reviews)
  • What geographical location does your data need to cover? National, state, county, municipality, census tract, etc?
  • How is the data collected? What is the methodology or unit of analysis?
  • When was the data collected? What is the time period you want to investigate? How frequently is the data collected?

Search or browse the USA.gov departments and agency index to identify the department or agency collects data on your topic. Agencies publish data on their websites under pages titled "library," "resources," "our work," or "research."

Browse Census Bureau topics and subtopics to help find the information you need.

**Since January 20, 2025, some federal agency data and reports were removed or altered from government webpages. Please contact a librarian if you cannot find the data you are looking for.*

Research Methodologies

Qualitative approaches focus on depth over breadth. They allow you to uncover processes, meanings, and mechanisms in ways that numbers alone cannot.

  • Case studies & process tracing – Intensive study of one or a few cases (countries, policies, events), often with detailed historical or documentary evidence. Process tracing tracks cause-and-effect sequences within a case.

    • When viable: Useful for “why” and “how” questions—e.g., Why does the UN intervene in some crises but not others?

    • Strengths: Deep contextual knowledge; shows causal mechanisms, not just correlations.

    • Limitations: Hard to generalize widely; depends on rich evidence.

  • Ethnography & participant observation – Immersive fieldwork, where the researcher observes or participates in the daily lives of political actors.

    • When viable: Questions about lived experiences, identities, or practices—e.g., How do NGOs in South Africa protect immigrant children?

    • Strengths: Rich, ground-level insight; uncovers perspectives often missing in surveys.

    • Limitations: Time-intensive; may raise ethical and access challenges.

  • Elite interviews & focus groups – Semi-structured interviews with decision-makers, officials, or citizens; group discussions to explore attitudes.

    • When viable: Studying policy processes, insider decision-making, or public opinion formation—e.g., Do variations in Congressional staff salaries affect casework responsiveness?

    • Strengths: Access to insider knowledge; captures nuance.

    • Limitations: Risk of bias in self-reporting; requires careful design and consent.

Quantitative approaches emphasize breadth and generalization, drawing on large datasets and statistical techniques.

  • Survey design & analysis – Collecting and analyzing responses to structured questions from a sample of people.

    • When viable: Questions about attitudes, behavior, or perceptions—e.g., Does negative advertising increase or decrease voter turnout?

    • Strengths: Standardized, comparable data; can be generalized with proper sampling.

    • Limitations: Expensive; quality depends on question wording and response rates.

  • Statistical models – Using datasets to test hypotheses about correlations or causal relationships.

    • When viable: Macro-level questions with measurable variables

    • Strengths: Can analyze many cases; allows causal inference with controls.

    • Limitations: Risk of poor data quality, assumptions must be transparent.

  • Experiments – field and lab designs, including randomized control trials 

  • Combining case studies with statistical data (Lieberman’s nested analysis).

    • When viable: Research that requires both broad patterns and deep causal explanation—e.g., Does female political representation improve social outcomes? (Quantitative cross-national dataset + qualitative case studies).

    • Strengths: Balances generalizability and depth; identifies patterns and mechanisms.

    • Limitations: Time- and resource-intensive.

  • Sequential designs: using qualitative findings to refine quantitative models.

    • When viable: Questions where one dataset/method cannot fully capture the phenomenon—e.g., How do stereotypes of Appalachia shape policymaking? (Content analysis of media + surveys of policy preferences).

    • Strengths: Triangulation improves credibility; flexible.

    • Limitations: Demands skill in multiple methods.

Books & eBooks