How and Why 1 Year Differs from 365 Days: A Conversational Logic Analysis of Inferences from the Granularity of Quantitative Expressions

This is the article website page we are analysis. How and Why 1 Year Differs from 365 Days: A Conversational Logic Analysis of Inferences from the Granularity of Quantitative Expressions Y. Charles Zhang and Norbert Schwarz http://www(dot)jstor(dot)org/stable/full/10.1086/662612 The analysis itself should be a comparative assessment of how well the author (or authors) of the selected research have fulfilled (or not) each of the steps and sub-steps presented in figure 4.1 of the textbook (please note: it is highly recommended to review Chapters 4 through 6 in the Sekaran & Bougie book for a refresher on the earlier research processes that have been covered in this course). The focus of the analysis should be on the research process, not as much on the research content itself. Be careful not to paraphrase what the author(s) has already stated in the published research. Again the analysis should be on assessing the adherence to the research process. Look at not only each step (and sub steps) but also how each step serves as a "stepping stone" for the next step. The interrelationships among the steps are also relevant to the analysis. I only have to do Step 7 Step 8 step 7 Scientific Research Design Collect data Analysis and Interpretation Deduction Step 8 Is hypothesis substantiated?

Journal of Consumer Research, 2012, vol. 39, issue 2, pages 248 - 259

Abstract: The same quantity can be expressed at different levels of granularity, for example, “1 year,” “12 months,” or “365 days.” Consumers attend to the granularity chosen by a communicator and draw pragmatic inferences that influence judgment and choice. They consider estimates expressed in finer granularity more precise and have more confidence in their accuracy (studies 1–4). This effect is eliminated when consumers doubt that the communicator complies with Gricean norms of cooperative conversational conduct (studies 2–3). Based on their pragmatic inferences, consumers perceive products as more likely to deliver on their promises when the promise is described in fine-grained rather than coarse terms and choose accordingly (study 4). These findings highlight the role of pragmatic inferences in consumer judgment and have important implications for the design of marketing communications.

Date: 2012
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