Information collected during the interviews was content analysed. In the content analysis, the attributes and
consequences having the same meaning were grouped
together and each group was labelled. These groupings
formed a scheme that was used to categorise the attributes and consequences. Once the content analysis
had been performed, the laddering data, e.g., the attributes and their consequences, were aggregated and
interpreted through hierarchical value maps (HVM),
which are graphical representations of the most frequently mentioned links summed across all subjects.
These graphic maps were generated using MecAnalyst
software (Skymax Inc., Italy) which is tailored to analysing means-end chains. The number of links between
the concepts reflects the complexity of the map and
the strength of the line illustrates the number of participants that mentioned the link. The software forms individual chains and then analyses the number of links
across the study population. A cut-off level of four
was chosen, except in the case of conventionally produced food, where a cut-off level three was selected. A
cut-off level of four means that a linkis drawn between
two concepts if at least four of the participants mentioned one concept as a direct or indirect linkto another concept.
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