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SB108 - Introduction to Interpretive Research Designs

Instructor Details

Instructor Photo

Peregrine (Peri) Schwartz-Shea

Institution:
University of Utah

Instructor Bio

Peregrine Schwartz-Shea is professor of political science at the University of Utah where she teaches courses in Qualitative-Interpretive Research Methods, Research Design, Public Administration, and Gender and Politics.

She conducts research on interpretive methods and human subjects protection policy.

With Dvora Yanow, she co-authored Interpretive Research Design: Concepts and Processes (Routledge 2012), the first volume in the Routledge Series on Interpretive Methods that they co-edit. 

As part of a new podcast series, New Books in Interpretive Social Science, hosted by Nick Cheesman (Australian National University), Peri and Dvora talk about their book and discuss what interpretive methods are and why they matter. Listen to the podcast here

Course Dates and Times

Monday 8 to Friday 12 August 2016
Generally classes are either 09:00-12:30 or 14:00-17:30
15 hours over 5 days

Prerequisite Knowledge

No prerequisite knowledge is required to take this introductory course. Those who will benefit most from the course are those currently planning research (i.e., working on a research proposal) or who will do so in the future; those who have completed field research and are in the “writing up” stage will also benefit from several parts of the course, such as understanding and communicating (e.g., to reviewers) what the appropriate quality standards are for assessing interpretive work. (Note that the pre-course assignments, given below, include basic introductions to the nature of interpretive research. For those who wish to deepen their background in this area, see: the supplementary readings section below for additional recommended readings on philosophy of social science; the sources listed on p. 44 of the required text, Interpretive Research Design.)

Short Outline

Interpretive research puts the meaning-making of those studied at the center of a research project. Guided often by an abductive logic of inquiry, such research is commonly not driven by formal hypotheses or variables. Based on a constructivist ontology and an intersubjectivist (or constructivist) epistemology, interpretive research generates data through talk, observation, and/or document selection and analyzes them through a wide array of methods, including category analysis, discourse analysis, genealogy, metaphor analysis, story-telling analysis, etc. This course in interpretive research design explains the vocabulary, processes, and quality (evaluative) standards consistent with the interpretive emphasis on meaning-making. It will enable researchers using such designs to explain its logic of inquiry to key decision makers, i.e., funding agencies, supervisors and other evaluators, as well as journal editors and peer reviewers. The course is appropriate for those doing ethnographic/participant observer, interviewing, case study, narrative, historical, and other forms of research in such fields as political science, international relations, public policy, public administration, urban studies, political sociology, organizational studies, and the like.

Long Course Outline

Research proposals are increasingly a part of scholarly life. The topics for theses and dissertations require prior approval; funding support usually depends on a committee’s assessment of competing research proposals. Funding committees tasked with assessing proposals ask: Is the proposed topic significant? Will the proposed research address a recognized problem, solve a theoretical puzzle, or shed light on a heretofore unexamined area? Will this researcher bring the needed background, skills, and substantive knowledge to complete the proposed research? And most pertinent to this course: Does the design of the research—its methodology, methods, data and analytic techniques—address the research question in a convincing, coherent manner?

 

The expectations associated with the term “research design” vary. In some disciplines and/or research communities, the common approach to research design assumes variables-based research (and may even presume that randomized, control experiments are the “best” designs). Other disciplines and research communities are much more eclectic in their approaches to research and embrace methodological pluralism. Still, even in more pluralistic settings, research proposals may be scrutinized by those who have very particular conceptualizations of design and of research. Those conducting interpretive research need to be able to communicate their research purposes, design logics, and evaluative standards to such reviewers.

 

Research design, then, is a social endeavor. Articulating one’s research question, project and approach to a variety of audiences in a variety of settings is essential to learning what one wants to do. Moreover, if others cannot understand what your project is about that may indicate a lack of clarity in what you are attempting or, at least, that you are not clearly communicating your research goals. From brief oral descriptions of your project over coffee to a more formal written proposal, convincing one’s audience(s) is key. Wherever you are in the research process, this course will enable you to deepen your understanding of your topic, familiarize yourself with the key elements of interpretive research design, and practice articulating (and perhaps even defending) the approach you have chosen to your research question.

 

In addition to lecture and class discussion, students will work together in ‘lab sessions’ during the afternoons and/or evenings (Days 1-4). Detailed instructions will be given for these sessions, but the general approach is that students will draft and share sections of a research proposal with members of their research groups. Re-writing will occur over the four days to produce a short, written proposal as a record of learning from the course. On Day 5, participants will orally present their research proposals to the class. For those who already have written proposals, there are two options: (1) Revising the proposal with a particular funding agency in mind. (2) Drafting a related or new proposal as part of an imagined (or actual) research agenda. (Note that assignment details for all labs will be made available to registered participants.)

 

  • Lab 1. One-page draft – research question and significance in the context of identified literature.
  • Lab 2. Edit, refine research question and literature; draft discussion and justification for anticipated data generation.
  • Lab 3. Draft discussion of choice of analytic methods.
  • Lab 4. Revise to produce proposal coherence across questions, data, analysis, anticipated contributions.

 

A caveat. Effective research design is highly contextual. Effectiveness depends on: the state of knowledge on a particular topic including areas of consensus and debate; the interests, talents, and methodological predispositions brought to that topic by the researcher; disciplinary conventions as well as the scholarly conversations and research communities engaged by the research; access to sites and data and ethical contingencies and constraints that may limit designs; and the funding priorities of governmental and private sources. In short, there is no universal template for achieving appealing, convincing, and fundable research proposals. An advantage of class members coming from a number of disciplines is that discussions and lab exercises should raise everyone’s awareness of these contextual factors (which may be tacitly known within disciplines and, thus, not actively discussed or analyzed).

 

Course objectives

  • To learn to recognize and to formulate interpretive research questions;
  • To understand and acquire the vocabulary appropriate to interpretive research design;
  • To recognize and add to one’s research capacity an abductive logic of inquiry;
  • To practice assessing the connections between research questions, forms of data, and implied contributions;
  • To be able to articulate the rationale for interpretive research including its approach to design, access, selection, and evaluative criteria.
  • To produce a brief research proposal as a record of course learning.

 

What this course will not cover

  • Although any research proposal must include its choice of and justification for its particular approaches to data analysis, the specifics of particular interpretive analytic techniques will not be covered in this course.
  • Although the basic philosophical presuppositions of interpretive research will be introduced (i.e., its constructivist ontology and intersubjectivist epistemology), in-depth consideration and discussion of philosophy of social science is beyond the purview of this course.
  • Although the course interrogates the meaning of the term “mixed methods,” it does not take up the approach to design envisioned by, e.g., the Journal of Mixed Methods Research.

 

Required texts

Schwartz-Shea, Peregrine, and Yanow, Dvora. 2012. Interpretive Research Design: Concepts and Processes. New York and London: Routledge. [SS&Y in the daily list]

 

Yanow, Dvora, and Schwartz-Shea, Peregrine, eds. 2014. Interpretation and Method: Empirical Research Methods and the Interpretive Turn. 2nd ed. Armonk, NY: M.E. Sharpe. [Y&SS2 in the daily list]

 

Additional articles:  Please see detailed day-to-day schedule below.

 

Pre-course assignments

 

#1 Background reading assignments to be completed before the course begins:

Schwartz-Shea, Peregrine. 2015. “Interpretive Social Science.” Encyclopedia of Political Thought. Edited by Michael T. Gibbons, Diana H. Coole, Elisabeth Ellis, and Kennan Ferguson. Wiley-Blackwell Publishers.

 

From the required text Interpretation and Method, 2014:

  • Wherefore “Interpretive?” An introduction, pp. xiii-xxii.
  • Chapter 1, Yanow, Dvora, Thinking Interpretively: Philosophical Propositions in the Social Sciences,” pp. 5-26.

 

 

#2 Introductions:

Once the course is confirmed, I will be asking you to briefly introduce yourself via email to all those registered. In particular, I would appreciate your answering the following questions:

  • Are you currently working on a research proposal?
  • What are the primary methods of data generation that you plan to use or have used?
  • What specific questions or concerns, if any, are you bringing with you to the course?

 

If I receive your introductions by 20 July, I will try to plan to address the mentioned questions/concerns during the course.

Day-to-Day Schedule

Day-to-Day Reading List

Software Requirements

None.

Hardware Requirements

None.

Literature

There will not be time to read all of the chapters from the required text: Yanow, Dvora, and Schwartz-Shea, Peregrine, eds. 2014. Interpretation and Method: Empirical Research Methods and the Interpretive Turn. 2nd ed. Armonk, NY: M.E. Sharpe.  Below I indicate chapters that may be of particular interest, depending on student background.

 

Those new to interpretive research may especially benefit from chapters that provide more depth on philosophy of social science:

 

2.            Contending Conceptions of Science and Politics: Methodology and the Constitution of the Political

                Mary Hawkesworth

 

4.            Working with Concepts: Challenging the Language–Reality Dichotomy

                Douglas C. Dow

 

6.            Neither Rigorous nor Objective? Interrogating Criteria for Knowledge Claims in Interpretive Science

                Dvora Yanow

 

Those interested in thinking critically and interpretively about statistics should consult:

 

3.            Figuring Authority, Authorizing Statistics

                Kirstie M. McClure

 

13.          The Numeration of Events: Studying Political Protest in India

                Dean E. McHenry, Jr.

 

Those with an historical and archival interest would enjoy:

 

14.          Making Sense of Making Sense: Configurational Analysis and the Double Hermeneutic

                Patrick Thaddeus Jackson

 

15.          Studying the Careers of Knowledge Claims: A Guide

                Pamela Brandwein

 

16.          Critical Interpretation and Interwar Peace Movements: Challenging Dominant Narratives

                Cecelia Lynch

 

17.          Political Science as History: A Reflexive Approach

                Ido Oren

 

There are a variety of additional chapters on particular methods:

 

9.            Ordinary Language Interviewing

                Frederic Charles Schaffer

 

10.          Seeing with an Ethnographic Sensibility: Explorations beneath the Surface of Public Policies

                Ellen Pader

 

18.          Value-Critical Policy Analysis: The Case of Language Policy in the United States

                Ronald Schmidt, Sr.

 

19.          Stories for Research

                Steven Maynard-Moody and Michael Musheno

 

21.          How Built Spaces Mean: A Semiotics of Space

                Dvora Yanow

 

And chapters that engage the sociology and politics of research:

 

23.          “May I See Your Color-Coded Badge?” Reflections on Research with “Vulnerable” Communities

                Michael Orsini

 

24.          We Call It a Grain of Sand: The Interpretive Orientation and a Human Social Science

                Timothy Pachirat

 

25.          Doing Social Science in a Humanistic Manner

                Dvora Yanow and Peregrine Schwartz-Shea

The following other ECPR Methods School courses could be useful in combination with this one in a ‘training track .
Recommended Courses After

Introduction to Qualitative Interpretive Methods

Knowing and the Known: The Philosophy and Methodology of the Social Sciences

Expert Interviews for Qualitative Data Generation

Field Research II: Issues in Political, Policy, and Organizational Ethnography

Interpretative Interviewing

Additional Information

Disclaimer

This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc). Registered participants will be informed in due time.

Note from the Academic Convenors

By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, contact the instructor before registering.


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