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Panel on Quantitative Methods. V.K. Narayanan Stubbs Professor of Strategy & Entrepreneurship Associate Dean for Research Le Bow College of Business Doctoral Symposium British Academy of Management Liverpool, September 2013. Plan of the Session. Introduction Panelists:
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Panel on Quantitative Methods V.K. Narayanan Stubbs Professor of Strategy & Entrepreneurship Associate Dean for Research Le Bow College of Business Doctoral Symposium British Academy of Management Liverpool, September 2013
Plan of the Session Introduction Panelists: YukselEkinci--Research Design Celine Rojon – Choice of Analytical Technique VKN – Nature of the data analysis Chris Chu – Challenges in Publication Questions from the workshop participants and responses from the panel
Mode of Inquiry Discovery Verification • QualitativeStatistical studies inference • Data mining Demonstration via approaches case studies British Academy of Management, 2013
General observations • A field and its customs change as members learn about a specific method, invent new ones and modify its existing ones • “Rules of thumb” are endemic to all fields • It is expected that you keep pace with the field during your career • It is expected that when you read a paper, you take pains to understand the method even if the method wasnot known to you before British Academy of Management, 2013
Research Design British Academy of Management, 2013
Choice of Analytical Technique British Academy of Management, 2013
Nature of Data Analysis British Academy of Management, 2013
Challenges in Publication British Academy of Management, 2013
How do we infer? B. Inferences • State of • Nature C. Research Design Measurement Data collection D. Data “True” State of Nature British Academy of Management, 2013
Mode of Measurement • Discrete Related Nominal Guttman Ordinal Interval Ratio • Nature of variables • Source of data British Academy of Management, 2013
Distribution Assumptions Normal Binomial Poisson Others Transformations British Academy of Management, 2013
Alternative Regression Procedures DependentvariableAnalysis Binary Logit/ Probit Sequential/ Guttman Sequential l/p Ordinal Ordinal l/p Polytomous response Multinomial l/p Event counts Poisson regression