794498

Course
Cancelled - Qualitative methods for quantitative researchers 2016

Faculty

Peter Abell,Professor Emeritus, London School of Economics, P.Abell@lse.ac.uk

Torsten Ringberg, Professor, Copenhagen Business School, tri.marktg@cbs.dk

Course Coordinator
Torsten Ringberg

Prerequisites

Basic knowledge of statistical analysis.

Aim

The course attempts to demarcate those investigative situations where large n (i.e. statistical analyses) prove inappropriate or impossible. It will assume some familiarity with statistical analysis. The course will also provide an overview of qualitative analytical techniques better described as small n analysis. It will not center much attention upon data gathering but rather upon analytical techniques-particularly the problem of causal/explanatory analysis where limited comparison rules out large n statistical methods. The course will attempt to justify small n studies as not merely an ex-ante or ex-post adjunct to large n studies.

Course content

First block 12 - 14 October, 2016

Day 1: Lecture 1

Introduction to the concepts of “qualitative” and “quantitative”:

  • Analysis of measurement, identity (equivalence) and similarity.
  • Description and explanation
  • Matching quantitative versus qualitative data to research problem

Some basic philosophical distinctions:

  • Induction , deduction , abduction.
  • Simplification and in depth description
    • The “positivism debate”
    • Explanation, causal and intentional (the logical connection argument and the practical syllogism)
  • Subjective causality
  • Reduction, individualism and emergence.
  • Small N versus “qualitative” as basic distinction (?)- case-studies, longitudinal perspective not caught by time series /panel analysis.

 

Day 1: Lecture 2

Introduction to “qualitative” approaches:

  • The primacy of text
  • Grounded Theory
  • Social construction
    • Ethnography
    • Symbolic interaction (discourse analysis)
    • Qualitative networks and Bayesian networks
    • Multi-level analysis
  • Cross -section vs longitudinal analysis (history)

Day 1: Lecture 3

Nature of causal and intentional analysis in Statistical studies (large N).

  • Limitations of statistical approach to causality
  • Qualitative Networks

Day 2: Lecture 1

A critical review of quantitative approaches:

  • The theoretical anchoring of qualitative vis-à-vis the positivistic research.

 Day 2: Lecture 2

Introduction to the in-depth semi-structured qualitative eliciting and analysis method based on ZMET.

  • Mind mapping
  • Emotive drivers underlying rational decisions
  • The capturing of the semi-conscious
  • Observation of behaviour vis-a-vis understanding the mind

Day 3:  Lecture 1

Discussions and brief presentations by students of their projects

Second block 31 October - 2 November, 2016

Day 1: Lecture 1

  • Boolean analysis of case studies (RAGIN)
  • Fuzzy and crisp versions
  • Networks and interaction (Possibly basic homology depending on student interest)
  • Conclusion : should we use large n, small n or a mixture

Day 1: Lecture 2

  • Introduction to chronologies and narratives
  • Assembling text (grounded theory, event structure analysis
  • Sequence analysis
  • Constructing chronologies
  • Moving from chronologies to narratives
  • Comparative narratives (abstraction and generalisation)
  • Multi –level analysis.

Day 2: Lecture 1

  • Bayesian Inference and grounded theory
  • Bayesian narratives
  • Boolean analysis of Narrative paths

Day 2: Lecture 2

Combining quantitative and qualitative approaches (mixed-method, inductive-deductive).

Mind mapping, generalization, start of student presentations (depending on numbers)

Day 3: Lecture 1

  • Student presentations and discussion/defence (examined)

Teaching style

Lectures, discussions and students presentations. The students will prepare brief presentations  of their research focus (the end of the first block) which will lay the foundation for their final presentations during (the end of the  last block).  The course will take include lectures as well as discussions. “Qualitative” analysis is a strongly contested by some scholars, yet has many merits which will hopefully be reflected in the course. Students will be encouraged not to adopt a position as either a quantitative or qualitative researcher but rather ask what are the appropriate method/s for their chosen research problem. 

Lecture plan

Please see course content

Learning objectives

N/A

Exam

Presentations (last day of course) by students on how they envision applying course insights into their research projects.

Other

N/A

Start date
12/10/2016

End date
02/11/2016

Level
PhD

ECTS
4

Language
English

Course Literature
SECTION 1Aisenberg,S. A.E. Fasang (2010) New life for old Ideas; The Second Wave of Sequence Analysis. Sociology Methods and Research ,28, 420-462.Brady H. E. and D. Collier (2010) Rethinking Social Inquiry, Rowan and Littlefield (Chap 1-6)Bryne, D. and C. Ragin (eds) Sage Handbook of Case Based Methods(2009) Sage.Christensen and Olson (2002) Mapping consumers’ mental models with ZMET, Psychology & Marketing, Special Issue: Consumer Knowledge Structures Volume 19, Issue 6, pages 477–501.Denzin, N.K. and Lincoln, Y.S.(2011) The Sage Handbook of Qualitative Research, Sage Savin – Baden, M. and Major, C. (2013) Qualitative Research: the essential guide to theory and practice. Routledge.Zaltman and Coulter (1994) Using the Zaltman Metaphor Elicitation Technique to Understand Brand Images, http://www.acrwebsite.org/search/view-conference-proceedings.aspx?Id=7644SECTION 2Abbott, A (1995) Sequence Analysis: New Methods for Old Ideas Amer . Rev . Sociology. 21,93-113.Abell, P. (1988) The Syntax of Social Life, Comparative Narratives. OUP.Abell, P. (2009.) A Case for Cases. Comparative Narratives in Sociological Explanation. Social. Methods and Research, 32, 1-33.Gubriam, J.F. and Holstein, J.A. eds (2009) Analysing Narrative Reality. SageSpecial issue of Social Research Methods (2000) social sequence analysis.Heise, D . Event structure Analysis (google).Luna, David, Torsten Ringberg, and Laura Peracchio (2008), “One Individual, Two Identities: Frame Switching Among Biculturals,” in Journal of Consumer Research 35, No 2, p. 279-293.Newman, M.E.J. (2013) Networks an Introduction . Oxford , OUP.Ragin, C.C. (1987) The Comparative Method. Moving Beyond Qualitative and Quantitative Strategies. Univ. California.Ragin, C.C. (2008) Redesigning Social Inquiry. Fuzzy sets and Beyond. Univ. Chicago.Ragin, C.C. Griffin, L. (eds) (1994) Formal Methods of Qualitative Analysis. Special issue of Social Research Methods.Ringberg, Torsten, Gaby Odekerken-Schröder and Glenn L. Christensen, (2007) “A cultural models approach to segmenting consumer recovery expectations.” in Journal of Marketing,71 (July), p. 194-214.Ringberg, Torsten and Markus Reihlen, (Sept 2008). “Toward a Socio-Cognitive Approach to Knowledge Transfer,” in Journal of Management Studies 45 No 5, p. 912-935.Ryden, Ringberg and Wilke (2015) How Managers' Shared Mental Models of Business–Customer Interactions Create Different Sensemaking of Social Media, in Journal of Interactive Marketing 31 p. 1–16

Fee
DKK 5,200

Minimum number of participants
14

Maximum number of participants
20

Location

TBA

Contact information

Bente S. Ramovic
bsr.research@cbs.dk
Tel.: +45 3815 3138

Registration deadline
31/08/2016

Please note that your registration is binding after the registration deadline.


The course is divided into two blocks of 2,5 days each. The two blocks are three weeks apart.

1st  part - 12 - 14 October,  9-17, 9-17, 9-12.30

2nd part - 31 October - 2 November 9-17, 9-17, 9-12.30
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