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Secondary Analysis and Official Statistics

Coursework Instructions:

There are two main types of secondary analysis and official statistics discussed in chapter 14. The chapter reviews the secondary analysis of data for commercial or research purposes by others, as well as the use of secondary analysis of official statistics. The advantages and disadvantages of this approach are explored and examples provided.

Read the below article and identify the role of secondary data analysis in this article. What is the approach, and how does it contribute to the findings of the study?

Bottomley, P.A., & Holden, S. J. (2001). Do we really know how consumers evaluate brand extensions? Empirical generalizations based on secondary analysis of eight studies. Journal of Marketing Research, 38(4), 494-500.

Coursework Sample Content Preview:

Week 2 Forum - Secondary Analysis and Official Statistics
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Secondary Data Analysis
The article by Bottomley and Holden (2001) uses secondary data analysis to delve into the evaluation of brand extensions by consumers. The authors adopt a secondary data analysis approach by utilizing a comprehensive dataset that includes the original study's data and data from seven replications conducted globally. This approach enables them to analyze a larger pool of data from multiple studies, exploring how consumers evaluate brand extensions across different contexts. Instead of conducting new experiments, the researchers focused on synthesizing and analyzing data already collected for various purposes.
The role of secondary data analysis in this study holds specific contributions. Firstly, it facilitates empirical generalizations by amalgamating data from the original study and various replications, allowing for broader conclusions regarding consumer evaluation of brand extensions. In this vein, the approach bolsters the findings' reliability by accounting for diverse cultural and market contexts. Secondly, the authors employ secondary data analysis to assess the consistency and robustness of Aaker ...
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