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Research Methodology • 281


        Sixteen Competencies That Best Differentiate
        High- and Low-Performing Leaders (Chapter 4)

        To accomplish this analysis, thirty-two 360-degree feedback data sets were ana-
        lyzed, containing results from more than 100 different companies. Table A-1
        provides a listing of the different data sets used in the analysis.
           The analysis was completed using results from 237,123 survey responses
        on 26,314 leaders. Each of the different data sets represented different cus-
        tomized 360-degree surveys. A total of 1,956 360-degree items were used. Very
        few of the items were repeated in the different surveys. This provided an
        extraordinarily rich data set of competencies and items from a variety of dif-
        ferent organizations.
           Extensive analysis was done on each data set. First, data sets were compiled
        into aggregated format by computing an overall average of all responses (e.g.,
        boss, peers, direct reports, others), with the self-response excluded. This was
        done for each leader in the data set. Next, an overall score was computed by
        averaging all 360-degree items into an overall index. We next determined from
        the overall score the top 10 percent of highest-scoring leaders and the bottom
        10 percent of lowest-scoring leaders. Using these two groups, an independent
        t-test was performed on each item. The t-values from the t-test were then
        sorted for all survey items. The 10 to 15 items with the largest differences were
        then selected from each data analysis and put into a combined set of key dif-
        ferentiating items. Once all of the analysis was completed, the combined list
        was again sorted, selecting only those with the highest t-values. Each item was
        then put on a 3-inch by 5-inch card. The cards were sorted into groups sepa-
        rately by both authors, and after several iterations the items were grouped into
        16 different clusters. Because the survey items crossed over 32 different data
        sets, we were not able to perform a factor analysis on the overall results, but
        we did perform a factor analysis on individual data sets, which helped in
        creating the appropriate clusters.



        Impact of Profound Strengths on Overall
        Leadership Effectiveness (Chapter 6)

        In Chapter 6, a study was presented assessing the impact of profound strengths
        on overall leadership effectiveness. Figure A-2 presents an updated study. The
        data from the study came from the aggregated results of 7,195 leaders from a
        variety of different organizations. The 360-degree assessment was based on the
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