Keyword searches may also use the operators Causality and Causal Infaerence, Chapter 4
Verba, Sidney. 1994. In a 2010 review by James Mahoney of prominent methods books, he writes that critics of KKV has characterized the book's claims as "often simplistic, misleading and inappropriate as a guide for designing social inquiry. Descriptive Inference, Chapter 3 ", According to KKV, the rules for good causal theories are that they need to be falsifiable, have internal consistency (generate hypotheses that do not contradict each other), have variation (explanatory variables should be exogenous and dependent variables should be endogenous), have "concrete" concepts (concepts should be observable), and have "leverage" (the theory should explain much by little). In terms of case selection, KKV warn against "selecting on the dependent variable". Designing social inquiry : scientific inference in qualitiative research / Gary King, Robert O. Keohane, Sidney Verba. Gary King, Robert O Keohane, and Sidney Verba.  KKV criticize Harry H. Eckstein's notion of "crucial case studies", warning that a single observation makes it harder to estimate multiple causal effects, more likely that there is measurement error, and risks that an event in a single case was caused by random error..
The seminar has been very lively, and it often has spilled into the halls and onto the pages of lengthy memos passed among ourselves and our students. But the relationship between description and explanation is interactive.
While qualitative methods cannot produce precise measurements of uncertainty about the conclusions (unlike quantitative methods), qualitative scholars should give indications about the uncertainty of their inferences. Copyright © 2020 The President and Fellows of Harvard College, Designing Social Inquiry: Scientific Inference in Qualitative Research, The Importance of Research Design in Political Science, A Digital Library for the Dissemination and Replication of Quantitative Social Science Research, Good Research and Bad Research: Extending Zimile’s Criticism, An Overview of the Virtual Data Center Project and Software, An Introduction to the Virtual Data Center Project and Software, Statistically Valid Inferences from Privacy Protected Data.
King, Gary/ Keohane, Robert O./ Verba, Sidney: CS1 maint: multiple names: authors list (, "After KKV: The New Methodology of Qualitative Research", "The Role of Theory and Anomaly in Social-Scientific Inference", https://en.wikipedia.org/w/index.php?title=Designing_Social_Inquiry&oldid=976583767, Creative Commons Attribution-ShareAlike License, This page was last edited on 3 September 2020, at 19:46. This book attests to the synchronous nature of these activities. 1994. Understanding What to Avoid, Chapter 6
For the same reason, the reasoning process behind the analysis needs to be explicit. 6 Increasing the Number of Observations 208 6.1 Single-Observation Designs for Causal Inference 209 6.1.1 "Crucial" Case Studies 209 6.1.2 Reasoning by Analogy 212 6.2 How Many Observations Are Enough?
Title: Designing Social Inquiry, Chapters 1-3 Author: Gary King, Robert Keohane, and Sidney Verba (notes by 1999er) Created Date: 5/22/2001 2:24:46 PM
This chapter focuses on how we should select cases, or observations, for our analysis.
In chapter 4, we discussed how to construct a study with a determinate research design in which observation selection procedures make valid inferences possible.
Many students of social and political phenomena would stop at this point, eschewing causal statements and asking their selected and well-ordered facts to “speak for themselves.”. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Descriptive Inference, Chapter 3 For example, researchers cannot make valid causal inferences about wars outbreak by only looking at instances where war did happen (the researcher should also look at cases where war did not happen). Sidney Verba ... We now proceed to consider specific practical problems of qualitative research design. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. Sometimes our explanations lead us to look for descriptions of... We have discussed two stages of social science research: summarizing historical detail (section 2.5) and making descriptive inferences by partitioning the world into systematic and nonsystematic components (section 2.6). , Mahoney also writes that KKV give insufficient attention to concept formation, which is an essential aspect of theory construction and measurement, and one of the important ways that qualitative research can play a key role. Read the full-text online edition of Designing Social Inquiry: Scientific Inference in Qualitative Research (1994). Formalizing a process for feedback and revision during a project makes learning meaningful because it emphasizes that creating high-quality products and performances is part of the endeavor. - ψg������J���f:QZ�?Q"��+'��ApX��+���g���B=�ZpC+��gx5����2���S^����b�*����Σ^L����@Q�-�|���'gS�~C��(�N�� ��H��f�.I�;�+��ڱ����1F�;V�Z�2N�������=�SX��UH��4xZ�1r,�@˕b)��TP3:Q����6�'��7�^U��[M�^�1�. Book Summary – Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation Posted: January 29, 2014 by Todd in Books , Culture Tags: brainstorming , creativity , David Kelley , design , design thinking , IDEO , Tim Brown 1994. paper) 1. Determining What to Observe, Chapter 5 " Quantitative scholars such as Henry E. Brady, Larry M. Bartels and David A. Freedman have argued that KKV overstate the strengths of quantitative research vis-a-vis qualitative research. KKV argue that "the single most serious problem with qualitative research in political science is the pervasive failure to provide reasonable estimates of the uncertainty of the investigator’s inferences.
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