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FLAME Free-List Analysis under Microsoft Excel

Main features

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Items’ saliency

Based upon items’ frequency of mention across lists and order of mention within lists, FLAME computes, for each item, a series of relative cultural importance indices (Frequency of mention ; mean order of mention ; Smith and Sutrop indices). Those indices are automatically represented with Excel Column Charts in order to swiftly identify the core items of a domain.




Structure of a Cultural Domain

Using order of mention within lists, FLAME generates an item-by-item proximity matrix (several computational methods are offered) to identify items that appear to be cognitively close. The matrix is exportable as a spreadsheet or text document in order to carry on more elaborate statistical analysis with other software (i.e. correspondence analysis).




Respondent-by-Respondent analysis

FLAME also displays results concerning respondents. A respondent-by-respondent matrix enables researchers to identify the respondents whose response patterns are the most similar. In addition, survey sample may be clustered in different sub-categories allowing for compared analysis between clusters of respondents.




Data Saturation

FLAME, allows to estimate the levels of saturation of your dataset, in other words, to detect whether the number of collected lists is sufficient for reliable analysis. Saturation can be considered as the point in data collection when no new information is added.




Mis à jour le 21 January 2013