MECAnalysisTool: A method to analyze consumer data

doi: 10.4121/19786900.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19786900
Datacite citation style:
Kirstin Foolen-Torgerson; Fleur Kilwinger (2022): MECAnalysisTool: A method to analyze consumer data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19786900.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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).

history
  • 2022-07-06 first online, published, posted
publisher
4TU.ResearchData
format
docx xlsx pptx
organizations
Business Economics, Wageningen University & Research
Knowledge Technology and Innovation, Wageningen University & Research