A Comparison of Parametric and Non-Parametric Methods Applied to a Likert Scale.

Although the interaction “subgroup–competency” is highly significant, this type of analysis does not permit any conclusion as to which specific competencies are significantly different between two given subgroups (this will be dealt with later using the parametric multiple t -test and the non-parametric chi-square test).

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The graphs for means and scores visually suggest that there may be significant differences amongst the other 38 competencies as more discriminant information is gathered by the use of parametric statistics (means) and data transformation (scores).

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