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The Q-Sort:
» Why Q-sort?
» InvestmentQ ™ Background
» Practical Application
» Research Findings
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Conducting
a Q-Sort:
» How to Q-sort
» Interpreting your Results
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» Perform a Q-Sort
The InvestmentQ ™ Team:
» Academic Team
» FS Associates, Inc.
» Watson Wyatt
» Brandes Institute

Interpreting Your Results

There are three, primary components of Q-Sort results:

  1. Process Indicator Scales

    Process indicator scales summarize how a manager scores on each of eight different measures of decision process.
    What are Process Indicator Scales? -- Process Indicator Scales Summary

  2. Correlation with Ideal Types

    Academic research has identified 17 organizational "types." This measure identifies how well the Q-sort subject matches each of these "Ideal Types."
    What is an Ideal Type? -- Ideal Type Definitions -- Ideal Type Resources

  3. Correlation or Cronbach Alpha

    Correlation and Cronbach Alpha measure how strongly responses agree among the various users inputting a Q-sort for a particular manager.
    What are Correlation and Cronbach Alpha?

InvestmentQ ™ may publish periodic data that shows the average Q-Sort results for managers that share a particular characteristic, for example, all large managers with assets over $100 billion, all U.S. based managers, and so on. This approach will be used eventually to provide appropriate benchmarking when enough data is available.

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