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Schmidt & Hunter Approach to d

Schmidt & Hunter Approach to d. Statistical Artifacts. Extraneous factors that influence observed effect Sampling error Reliability-note applications to experiments Range restriction-note effect on d Computational error Dichotomization of variables. Effect sizes d and r pb.

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Schmidt & Hunter Approach to d

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  1. Schmidt & Hunter Approach to d

  2. Statistical Artifacts • Extraneous factors that influence observed effect • Sampling error • Reliability-note applications to experiments • Range restriction-note effect on d • Computational error • Dichotomization of variables

  3. Effect sizes d and rpb

  4. ES d and rpb (2) N=6 Note rpbis computed as an ordinary Pearson correlation. Note SDY not SDpooled. If sample sizes are unequal, replace ‘2’ with ‘1/sqrt(pq)’.

  5. Estimated Sampling Error Variance • The variance of d Estimated variance for a study. Bias adjustment

  6. Bare-Bones Analysis (1) One approach is to convert d to r and analyze r. You can convert back to d at the end. Suppose you find that:

  7. Bare-Bones (2) For bare-bones: For bare-bones, a simpler formula is used for the variance of error.

  8. Example (1)

  9. Example (2)

  10. Example (3)

  11. Example (4)

  12. Example Psychometric M-A Sum Mean

  13. Example (2)

  14. Example (3)

  15. k=4 dbaro=.28 M-A Summary

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