|Appears in Collections:||Marketing and Retail Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Rethinking data analysis (1): The limitations of frequentist approaches|
|Keywords:||Marketing research Statistical methods|
Marketing research Data processing
Error analysis (Mathematics)
|Citation:||Kent R (2009) Rethinking data analysis (1): The limitations of frequentist approaches. International Journal of Market Research, 51 (1), pp. 51-69. https://doi.org/10.2501/S1470785308200304|
|Abstract:||The analysis of data from market research has, until fairly recently, been reliant upon statistical techniques that were developed during the nineteenth and early twentieth century for uses entirely other than the analysis of survey and other types of observational, non-experimental data. Such techniques rely on reviewing and relating the frequency distributions of variables that have been concocted and measured by researchers. This article argues that key features of such ‘frequentist’ statistics are also limitations that need to be recognized by academics, market research practitioners and the managers to whom they report findings. By focusing on variable distributions across cases, they overlook patterns of within-case configuration; they seek out only symmetrical, linear patterns by reviewing the ‘net effects’ of individual variables; they rely on a very circumscribed view of statistical inference from samples to populations; they are not good at demonstrating causal connections between variable or at handling system complexity. A follow-up article, ‘Rethinking data analysis (2) Some alternatives to frequentist approaches’ examines ways of approaching datasets that can be seen as viable alternatives.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.|
|Rethinking data analysis1.pdf||Fulltext - Accepted Version||130.84 kB||Adobe PDF||Under Embargo until 3000-12-01 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.