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IQ and Personality Assessment

IQ and Personality Assessment. Psychology 631 William P. Wattles, Ph. D. Exam One. Why is the mean or average alone not enough information to describe a distribution? The mean doesn’t tell us about the variability, that is how spread out the data are. Exam One Make-up.

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IQ and Personality Assessment

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  1. IQ and Personality Assessment Psychology 631 William P. Wattles, Ph. D.

  2. Exam One • Why is the mean or average alone not enough information to describe a distribution? • The mean doesn’t tell us about the variability, that is how spread out the data are.

  3. Exam One Make-up • Why do we need to calculate the standard deviation? • It tells us about the variability, that is how spread out the data are.

  4. Exam Two • Jen reports means for different groups in her research. Should she also report the standard deviation? If so why? • Yes, It tells us about the variability, that is how spread out the data are.

  5. Intelligence is a very difficult concept to define. Intellect is described as “the power of the mind to think in a logical manner and acquire knowledge”

  6. Sound psychometrics Long and extensive history of continued evaluation Produce relevant information Wechsler Scales

  7. Assess individual’s relative strengths and weaknesses Compare with peers IQ tests

  8. Accuracy of Prediction • One of the main assets of intelligence tests is their accuracy in predicting future behavior. • Academic achievement • Occupational performance • Neuropsychology deficits

  9. Success for Managers .53 Salespersons .61 Clerks .54 For intellectually demanding jobs nearly half the variance can be explained by IQ Correlation with IQ

  10. Poor scores on digit span, arithmetic and digit symbol suggest anxiety or ADHD. High on Comprehension and Picture arrangement suggests good social judgment Personality variables and IQ

  11. Does not measure fixed innate ability Does not measure all cognitive abilities Easily misused Highly personal Problems with IQ

  12. Creativity WAIS-3 Emphasizes • Convergent • Analytical • Scientific modes of thought

  13. Prediction • Base line rates

  14. Predictor variable

  15. Probabilistic Reasoning • “The Achilles’ heel of human cognition.”

  16. Probabilistic Reasoning • “Men are taller than women” • “All men are taller than all women”

  17. Probabilistic Reasoning • A probabilistic trend means that it is more likely than not but does not always hold true.

  18. Probabilistic Reasoning • “The Land of sometimes and perhaps”

  19. Knowledge does not have to be certain to be useful. Individual cases cannot be predicted but trends can Probabilistic Reasoning

  20. Intelligence exists Can improve understanding It is part of the person. Intelligence in assessment

  21. Interpreting the WAIS-III • Full Scale IQ, the single most valid and reliable scale. • Percentile scores or intelligence classification may be harder to misuse.

  22. Intelligence Classifications

  23. Percentile Rank examples

  24. Work Satisfaction • Fit between ability and job

  25. Compatibility in relationships

  26. Leisure time pursuits

  27. Example of behavior when person is distracted from being conscious of being watched.

  28. The End

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