Titlebook: Handbook of Market Research; Christian Homburg,Martin Klarmann,Arnd Vomberg Reference work 2022 Springer Nature Switzerland AG 2022 Data A

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Dealing with Endogeneity: A Nontechnical Guide for Marketing Researcherss want to make causal inference of a marketing variable (e.g., price) on an outcome variable (e.g., sales), using observational data and a regression approach, they need the marketing variable to be exogenous. If the marketing variable is driven by factors unobserved by the researcher, such as the w

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micronized

Finite Mixture Models Finite Mixture models can be used in conjunction with multivariate methods of analysis. Unlike approaches combining multivariate methods of analysis and cluster analysis, which require a two-step approach, the parameters are then directly estimated at the segment level. This also allows for inferen

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Analysis of Variance be used in the future. An experiment in which three groups of participants rate their liking of one of the logos would provide the necessary information to make this decision. The statistical challenge is to determine which (if any) of the three logos is liked significantly more than the others. Th

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Logistic Regression and Discriminant Analysis default) are typical in business practice and research. From a statistical perspective, these questions are characterized by a dichotomous dependent variable. Traditional regression analyses are not suitable for analyzing these types of problems, because the results that such models produce are gen

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Prologue

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Applied Time-Series Analysis in Marketingrs traditional and modern time-series models with applications in extant marketing research. We first introduce basic concepts and diagnostics including stationarity test (the augmented Dicky-Fuller test of unit roots), and autocorrelation plots via autocorrelation function (ACF) and partial autocor

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