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Mixing Methods in the Discipline of Politics by Renske Doorenspleet

Mixing Methods in the Discipline of Politics by Renske Doorenspleet. (A) Quantitative and Qualitative Methods. Qualitative methods : Words Small-N Cases central Points of view of participants Researcher close Theory development Process Unstructured Contextual understanding

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Mixing Methods in the Discipline of Politics by Renske Doorenspleet

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  1. Mixing Methodsin the Discipline of Politicsby Renske Doorenspleet

  2. (A) Quantitative and Qualitative Methods Qualitative methods: • Words • Small-N • Cases central • Points of view of participants • Researcher close • Theory development • Process • Unstructured • Contextual understanding • Rich, deep data • Micro Quantitative methods: • Numbers • Large-N • Variables central • Point of view of researcher • Researcher distant • Theory testing • Static • Structured • Generalization • Hard, reliable data • Macro see also Bryman(2004: pp.286-288)

  3. (B) Mixing Methods: Lieberman’s framework • How would you investigate the same questions by using mixed methods? • Tarrow (1995): triangulation: use of qualitative and quantitative methods to answer one and the same research question • But how? Read: Lieberman, E.S. (2005). ‘Nested Analysis as a Mixed-Method Strategy for Comparative Research’ in American Political Science Review, vol.99, no. 13, pp. 435-452

  4. (B) Mixing Methods: Lieberman’s framework • Explanation framework Two crucial steps: • large-N quantitative analyses (LNA) • small-N qualitative analyses (SNA) • model testing • model building

  5. (B) Mixing Methods: Lieberman’s framework • Some examples of studies using framework • Relationship economic development and democracy • Relationship civic culture and welfare • Relationship international trade and human rights

  6. (C) Mixing Methods: Strengths and Weaknesses • Strengths: combination of best of both worlds • Better concepts and measurements; caused by more internal validity (SNA) and more external validity (LNA) • Better case selection; clear guidelines and criteria for case selection in SNA • Better contribution to theory development

  7. (C) Mixing Methods: Strengths and Weaknesses • Weaknesses 1. Not always better concepts and measurements 2. SNA is nested within LNA, so in the end LNA determines research agenda 3. Incompatibility thesis

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