The usage of logistic regression for analyzing market research data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F11%3A10229137" target="_blank" >RIV/61989100:27510/11:10229137 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The usage of logistic regression for analyzing market research data
Original language description
This paper deals with the assessment of competitive position of a manufacturer directly in retail outlets using a method named Total Shopscore Index (abbr. TSI). This index consists of three particular indices - inventory, position and presentation index. Input data for calculating can be gained by observation, most commonly directly in retail outlets. This tool is used also to assess sales representatives of the specific manufacturer who are responsible for certain product or all merchandise in retailoutlet. Therefore it is important to set reasonable level of TSI that has to be reached by sales reps in different regions, retail outlet types, retailers, etc. The calculated values of TSI can be analyzed and compared, e.g. using logistic regression models with intention to describe the relation between attained values of TSI (or also of partial indices) and specific identification factors like region, retail type or retailer.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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