MECAnalysisTool: A method to analyze consumer data
This Excel based tool was developed to analyze means-end chain data. The tool consists of a user manual, a data input file to correctly organise your MEC data, a calculator file to analyse your data, and instructional videos. The purpose of this tool is to aggregate laddering data into hierarchical value maps showing means-end chains. The summarized results consist of (1) a summary overview, (2) a matrix, and (3) output for copy/pasting into NodeXL to generate hierarchal value maps (HVMs). To use this tool, you must have collected data via laddering interviews. Ladders are codes linked together consisting of attributes, consequences and values (ACVs).
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| Main Authors: | , |
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| Format: | Dataset biblioteca |
| Published: |
Wageningen University & Research
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| Subjects: | MEC, consumer behaviour, data aggregation, decision making, hierarchical value map, laddering, means-end chain analysis, product evaluation, product valuation, |
| Online Access: | https://research.wur.nl/en/datasets/mecanalysistool-a-method-to-analyze-consumer-data |
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