TY - DATA T1 - MECAnalysisTool: A method to analyze consumer data PY - 2022/07/06 AU - Kirstin Foolen-Torgerson AU - Fleur Kilwinger UR - https://data.4tu.nl/articles/dataset/MECAnalysisTool_A_method_to_analyze_consumer_data/19786900/1 DO - 10.4121/19786900.v1 KW - Means-end chain analysis KW - Laddering KW - Hierarchical value map KW - product evaluation KW - product valuation KW - data aggregation KW - MEC KW - consumer behaviour KW - decision making N2 -

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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