Social Science Research Approaches: A Toolbox for Empirical Designs - (runs anually) - Tenders Global

Social Science Research Approaches: A Toolbox for Empirical Designs – (runs anually)

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Copenhagen Business School , CBS

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Social science research approaches: A toolbox for empirical designs – Offerede Anually
1198099
Course
Social Science Research Approaches: A Toolbox for Empirical Designs – (runs anually)
Faculty

Manuele Citi and Janine Leschke, Department of Management, Society and Communication, CBS

Jasper Hotho and Caroline de la Porte, Department of International Economics, Government and Business, CBS

Christoph Houman Ellersgaard, Department of Organisation, CBS

Rasmus Brun, Department of Political Science, Aarhus University

Anne-Karen Hüske, Department of Management, Society and Communication, CBS

Rasmus Tue Pedersen, VIVE – The Danish Center for Social Science Research

Course coordinator
Manuele Citi, Department of Management, Society and Communication, Copenhagen Business School (CBS), Janine Leschke, Department of Management, Society and Communication
Prerequisites

This course is for PhD students only. It is most suitable for PhD students in the first half of their PhD studies. The PhD students must hand in a five pages (maximum) written presentation on the research question, theories and method(s) of their project, in which they select one or two topics of the curriculum and explain how they can be applied to their project. The short paper should include specific references to the literature of the course and discuss the strengths and weaknesses of their chosen approach in comparison to other relevant approaches.

Students will have the opportunity to revise this based on the lectures and group discussions during the course and to present their ideas for additional feedback at the end of the course.

Deadline for submission of short papers is 10 days before the beginning of the course.
The short papers provide material for discussion during the course, and the students must be willing to participate in discussions of other papers and presentations.
It is a precondition for receiving the course diploma that the student attends the whole course.

Aim

The interlinkage between theory and research design is in focus when this course introduces PhD students to the core approaches constituting social science research approaches. We will focus in particular on conceptual analysis and case-selection, process tracing and comparative qualitative studies, survey, experimental and mixed methods approaches, network analysis and elite interviews as well as textual analysis.

The aim of the course is to develop the awareness of different designs applied in social science research. This will allow the course participant to reflect critically upon their own projects and to discuss the strengths and weaknesses in comparison to other relevant approaches.

Course content

You find the content and required readings for each session below. Book chapters of the core readings will be provided by the course faculty on CANVAS; it will be the students’ responsibility to obtain the journal articles if these are not uploaded on CANVAS. All core texts should be read prior to the start of the course. For most sessions you have at least one text which is a more general description of the theory or method and at least one text which is an application.

Teaching style

Dialogue lectures, group discussions, feedback on student presentations.

Lecture plan

Day 1
27.3. Conceptual analysis and the logic of case studies
 

9.00-9.45  Welcome and students’ introduction  
 -Manuele Citi and Janine Leschke  
9.45-12.15  Conceptual analysis
– Manuele Citi 
12.15-13.15 Lunch break
13.15-15.45 Comparative qualitative research
– Jasper Hotho  
Homework Prepare a short power point/white board drawing based on your course paper   
Day 2
28.3. Small-N designs   
9:00-11:00  Systematic literature review
– Anne-Karen Hüske 
11:15-12:00 Feed-back on student projects (part I) 
12:00-12.45 Lunch break
12.45-16:15 Process tracing
– Rasmus Brun Pedersen, Aarhus University 
Day 3
29.3. 9.00-10.45 Feed-back on student projects (part II)
based on short student presentations with reflections on the course material and focus on methods
– Janine Leschke & Manuele Citi 
Large-N designs (Surveys, experiments and and survey experiments) 

11.00-12.30 The logic and design of surveys
– Rasmus Tue Pedersen 

12:30-13:30 Lunch break

13.30-15.45 Experiments and survey experiments
– Rasmus Tue Pedersen  

Dinner 18.00 (PLACE TBC)
Day 4
30.3. Hybrid quant-qual methods (I) 

9.00-11.00 Mixed methods approaches
– Janine Leschke  

11.15-12.30 Feed-back on student project (part III)  
– Manuele & Janine

12:30-13:30 Lunch    

13.30-16.00 Social network analysis
– Christoph Houman Ellersgaard 
Day 5
31.3. Feedback on and elite interviews  
09.00-10.00 Feed-back on student projects (part IV)
based on short student presentations with reflections on the course material and focus on methods
– Janine Leschke & Manuele Citi 
10.15-12:00 Elite interviews
– Caroline de la Porte 

12:00-13:00 Lunch   

13:00-16:00 Feed-back on student projects (part V)
based on short student presentations with reflections on the course material and focus on methods  
– Janine Leschke & Manuele Citi 

Learning objectives
  • Describe and justify the research design of the PhD project
  • Compare and contrast how methodological approaches interlink in different research designs
  • Discuss strengths and weaknesses of the theoretical and methodological choices made in the PhD project
  • Apply the knowledge and insights from the course in a critical reflection on their own project
Exam
Other
Start date
27/03/2023
End date
31/03/2023
Level
PhD
ECTS
5
Language
English
Course Literature

You find the content and required readings for each session below. Book chapters of the core readings will be provided by the course faculty on CANVAS; it will be the students’ responsibility to obtain the journal articles if these are not uploaded on CANVAS. All core texts should be read prior to the start of the course. For most sessions you have at least one text which is a more general description of the theory or method and at least one text which is an application.

Day 1 – Conceptual analysis and case studies 

Conceptual analysis (Manuele Citi)

In this session we will introduce concepts as essential tools for theoretical and empirical analysis. We will focus on issues of conceptualization, such as conceptual stretching, the link between conceptual intension and extension, the relationship between conceptual definition and empirical measurement, and the levels and rules of aggregation for multi-dimensional concepts.

Readings

Goertz, G. (2006) Concept Intension and Extension, in Goertz, G., Social Science Concepts: A User’s Guide, Princeton: Princeton University Press, Ch.2 (pp. 69-94).

Munck, G. L. and Verkuilen, J. (2002) Conceptualizing and measuring democracy: Evaluating alternative indices, Comparative Political Studies 35(1): 5-34.

Supplementary Readings

Adcock, Robert, and David Collier. 2001. “Measurement Validity: A Shared Standard for Qualitative and Quantitative Research.” American Political Sciences Review 95(3): 529–546.

Coppedge, Michael et al. 2011. “Conceptualizing and Measuring Democracy: A New Approach.” Perspectives on Politics 9(02): 247–67.

Comparative qualitative analysis  (Jasper Hotho, Copenhagen Business School)

This session provides an introduction to the value and logic of comparative research designs in the social sciences. Key issues that will be discussed are the different rationales for adopting comparative research designs, the design choices this involves, and the challenges and pitfalls involved in doing comparative research and getting it published. With the help of two exercises, this session aims to equip PhD students with the ability to evaluate the quality and appropriateness of comparative research designs, the ability to articulate both the merits and limitations of such research designs, and the ability to offer constructive suggestions for improvement.

Readings

Ragin, C.C. (1987) Case-oriented comparative methods. In: C.C. Ragin, The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press, Berkeley, CA (pp. 34-52).

Locke, R. M., & Thelen, K. (1995). Apples and oranges revisited: Contextualized comparisons and the study of comparative labor politics. Politics & Society, 23(3), 337-367. [Please read pp. 337-344; rest optional]

Battilana, J., & Dorado, S. (2010). Building sustainable hybrid organizations: The case of commercial microfinance organizations. Academy of Management Journal, 53(6), 1419-1440. 

Day 2 – Small-N designs (I)

Systematic literature review (Anne-Karen Hüske)

To be completed

Process tracing (Rasmus Brun Pedersen)

Process-tracing in social science is a method for studying causal mechanisms linking causes with outcomes. This enables the researcher to make strong inferences about how a cause (or set of causes) contributes to producing an outcome. Derek Beach introduces a refined definition of process-tracing, differentiating it into three distinct variants and explaining the applications and limitations of each.

Readings

Beach (2017) ‘Process-tracing methods.’ Oxford Research Encyclopedia. http://politics.oxfordre.com/view/10.1093/acrefore/9780190228637.001.0001/acrefore-9780190228637-e-176

O’Mahoney, J. (2017). Making the Real: Rhetorical Adduction and the Bangladesh Liberation War. International Organization, 71(2), 317-348. doi:10.1017/S0020818317000054

Supplementary Readings

Beach and Pedersen (2016) Causal Case Study Methods. Ann Arbor: University of Michigan Press. (Especially chapters 2 – 5, 9)

Day 3 Large-N designs (Surveys, experiments and and survey experiments)

The logic and design of surveys (Rasmus Tue Pedersen)

In this session, we will briefly discuss the use of surveys in social science research, and the remainder of the section will primarily focus on possible ways of handling potential challenges when doing survey research. We will discuss challenges related to, e.g., low response rates, respondent satisficing and social desirability, question wording effects, context effects and non-attitudes. We will also address some of the practicalities of survey research.

Readings

Krosnick, Jon A. (1999). Survey Research, Annual Review of Psychology. 50: 537-67 (31 pages).

Kennedy, C. et al. (2018). An Evaluation of the 2016 Election Polls in the United States. Public Opinion Quarterly. 82(1): 1-33 (33 pages)

Supplementary readings

Tourangeau, R., Rips, L. J., & Rasinski, K. (2000). The psychology of survey response. Cambridge University Press.

Groves, R. M., Fowler Jr, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2011). Survey methodology (Vol. 561). John Wiley & Sons.

Dillman, D. A. (2011). Mail and Internet surveys: The tailored design method. John Wiley & Sons.

Stern, M. J., Bilgen, I., & Dillman, D. A. (2014). The state of survey methodology: Challenges, dilemmas, and new frontiers in the era of the tailored design. Field Methods, 26(3), 284-301.

Experiments and survey experiments (Rasmus Tue Pedersen)

Experiments are key tools in the methodological toolbox for anyone interested in causal inference, and the use of experiments in social science has increased dramatically. This session cover the logic of randomized experiments, different types of experiments (lab, field, and survey) and the key considerations when designing, analyzing and interpreting experiments. As a part of this, we will also discuss ethical considerations for researchers using experimental methods.

Readings

Druckman, J. et al. (2011). Cambridge handbook of experimental political science. Cambridge, New York: Cambridge University Press. Chapters 2 and 3 (26 pages)

Mutz, Diana C. (2011). Population-Based Survey Experiments. Princeton, New Jersey: Princeton University Press. Chapter 1 (23 pages)

Bertrand, M., & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American economic review, 94(4), 991-1013. (23 pages)

Pedersen, RT, JO Dahlgaard & M Citi (2019). Voter Reactions to Candidate Background Characteristics Depend on Candidate Policy Positions. Electoral Studies, 61. (10 pages)

Supplementary readings 

Druckman, J. et al. (2011). Cambridge handbook of experimental political science. Cambridge, New York: Cambridge University Press. (Remaining chapters)

Mutz, Diana C. (2011). Population-Based Survey Experiments. Princeton, New Jersey: Princeton University Press. (Remaining chapters)

McDermott, R. (2002). Experimental methods in political science. Annual Review of Political Science, 5(1): 31-61.

Day 4 – Hybrid quant-qual methods (I)

Mixed-method approaches (Janine Leschke)

Mixed or multi-methods approaches combining and integrating qualitative and quantitative social sciences tools have become popular in recent years. Rather than seeing methods as mutually exclusive alternatives, such approaches exploit the fact that multiple measurement offers the chance to assess each method’s validity in the light of other methods and thereby come to more sound conclusions. This session will discuss the advantages and drawbacks of mixed-methods approaches in PhD projects. We will in particular consider the combination of indepths case-study analysis with statistical analysis.

Readings

Creswell, J. and Plano Clark, V. (2018) Designing and Conducting Mixed Methods Research, Third Edition, London: Sage, ch. 3 (Core mixed methods designs)

Lieberman, E. (2005) Nested Analysis as a Mixed-Method Strategy for Comparative Research, The American Political Science Review 99(3), 435-452.


Supplementary Readings

Casal Bértoa, F. (2017) It’s been mostly about money! A Multi-method research approach to the sources of institutionalization, Sociological Methods & Research 46(4): 683-714.

Fearon, J. and Laitin, D. (2008) Integrating Qualitative and Quantitative Methods, in: Box-Steffensmeier, J., Brady, H. and Collier D. (eds.) The Oxford Handbook of Political Methodology, Oxford: Oxford University Press: 756-776.

Becker, R. and Teney, C. (2020) Understanding high-skilled intra-European migration patterns: the case of European physicians in Germany, Journal of Ethnic and Migration Studies, 46:9, 1737-1755.

Applied Network Analysis (Christoph Houman Ellersgaard)

Empirically and theoretically, the session will focus on elites and decision-makers in a policy-making setting and provide examples that cut across the national, European and global levels. In a first part we cover how to identify the most powerful individuals in different societies, the elites, using social network analysis.


Readings

Larsen, Anton Grau, and Christoph Houman Ellersgaard. “A Scandinavian Variety of Power Elites? – Key Institutional Orders in the Danish Elite Networks.” In New Directions in Elite Research, edited by Olav Korsnes, Johan Heilbron, Johannes Hjellbrekke, Felix Bühlmann, and Mike Savage. Routledge, forthcoming.

Larsen, Anton Grau, and Christoph Houman Ellersgaard. “Identifying Power Elites—k-Cores in Heterogeneous Affiliation Networks.” Social Networks 50 (July 2017): 55–69.

Ellersgaard, Christoph Houmann, Lasse Folke Henriksen, Peter Marcus Kristensen, and Anton Grau Larsen. 2016. “Social Spaces.” In Routledge Handbook of International Political Sociology. Routledge. http://www.forskningsdatabasen.dk/en/catalog/2305208216 .

Supplementary Readings

Khan, Shamus Rahman (2012) The Sociology of Elites. Annual Review of Sociology 38(1): 361–77. doi:10.1146/annurev-soc-071811-145542.

Bühlmann, Felix, Thomas David, and André Mach (2012) The Swiss Business Elite (1980–2000): How the Changing Composition of the Elite Explains the Decline of the Swiss Company Network. Economy and Society 41(2), pp 199–226. doi:10.1080/03085147.2011.602542.

Afternoon Session – Feedback to students (I) (Janine Leschke & Manuele Citi)

In this session we will draw on the various elements of the course providing indepths feedback to the student’s projects.

 
Day 5 – Feeback to students and elite interviews

Morning Session – Feedback to students (II) (Janine Leschke & Manuele Citi)

In this session we will draw on the various elements of the course providing indepths feedback to the student’s projects.

Elite interviews (Caroline de la Porte)

Elite interviews are often central sources of data for small-n analyses (case studies and comparative analyses). This session addresses various issues with elite interviews, from practical tricks of interviewing, to ethical dilemmas, as well as how to use elite interviews in your research and how to code them. 

Readings
Symposium consisting of seven short articles in Political Science and Politics on Interview techniques in social sciences, 35(4): 2002. Access the articles here: https://www.cambridge.org/core/journals/ps-political-science-and-politics/issue/E30FCCB00ED41AA25653C84094851A72


Afternoon Session – Feedback to students (III) (Janine
Leschke & Manuele Citi)

In this session we will draw on the various elements of the course providing indepths feedback to the student’s projects.

Fee
DKK 6,500
Minimum number of participants
Maximum number of participants
0
Location
Copenhagen Business School
Dalgas Have 
2000 Frederiksberg
Room: DHV 2.69, 2.70 and 2.71 (second flor, west wing)
Contact information
CBS PhD Support
Nina Iversen
[email protected]
Registration deadline
12/02/2023
Please note that your registration is binding after the registration deadline. 

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