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Empirical Generalizations and Meta-Analysis
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The "Great Thinkers in Marketing" series highlights the significant contributions of the most influential scholars to marketing research, theory, and practice. The series and volume editors organize each legend's most impactful articles into several volumes as an anthology set. Volume editors also seek commentaries from other scholars familiar with the legend's work on the articles included in that volume.
This set, comprising six volumes of contributions of Donald Lehmann, covers a broad spectrum of topics relating to customer behavior and decision-making processes, the estimation of stochastic models, empirical replication for theoretical generalization, advertising and branding, new product and innovation diffusion, and performance outcomes of marketing strategy.
This volume, edited by Lohn Lynch, synthesizes Lehmann's work on meta-analysis and empirical generalization. Along with a collection of his related articles, it features an interview with Lehmann himself and three insightful commentaries from frequent co-authors. Showing how Lehmann's research has theoretical and practical relevance, this work outlines his impact on the marketing field to assess better the generalizability and robustness of their published empirical findings.
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John G. Lynch, Jr. is Distinguished Professor in the Leeds School of Business at the University of Colorado-Boulder, USA. He is a Fellow of the American Marketing Association, the Association for Consumer Research, the American Psychological Association/Society for Consumer Psychology, and one of five Fellows of all three organizations worldwide. Since coming to the University of Colorado, John Lynch has focused on studying cognitive psychology in consumer financial decision-making.
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