Personality psychology concerns three questions. First, in what important ways are people all alike? This question involves analyzing the nature of human nature. Second, in what important and systematic ways are people all different? This question concerns individual differences. The third question concerns how to measure, in a reliable and valid manner, important individual differences in personality? These measures can then be used to predict practical outcomes—e.g., job performance, career and financial success. But why are personality data so useful? The reason is simple: (1) The best predictor of future behavior is past behavior; (2) A person’s personality (defined in terms of observer’s ratings) is the summary of that person’s past behavior; so that (3) Personality (defined in terms of observers’ ratings) is the best data source we have regarding a person’s future behavior. Our assessments are keyed into observer ratings and provide an objective way to predict a wide variety of life outcomes, including life expectancy, marital satisfaction , substance abuse, and career and financial success. The principal statistic used in our research (as well as research in economics, sociology, and medicine) is the Pearson correlation coefficient (r). The value of r can range from -1 (a perfect negative association between two variables) to 0 (no relationship between two variables) to +1 (a perfect positive association between two variables). The validity coefficients found in most medical research are below .20. For example, the correlation between smoking and contracting lung cancer within 25 years is .08; the correlation between taking ibuprofen and reduced pain is .14. Typical validities in psychological studies tend to be higher. For example, the correlation between applicants' scores in a personnel selection interview (which is an inefficient form of personality assessment) and subsequent job performance is .30, and the correlation between IQ scores and school grades is .70. Our research over the past 30 years has produced validity coefficients that are significantly higher than those typically found in published medical or economic research. Personality and industrial/organizational psychologists use correlation coefficients to predict individual differences in peoples’ present or future performance. The best way to interpret a correlation is in terms of hits and misses. Imagine we have tested 200 sales candidates on the HPI Ambition scale, and then hired all of them; Figure 1 shows the expected percentages of high and low performers as a function of the validity of the ambition scale, using validities of .00, .20, .30, and .50.
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June 4th, 2010 marked the passing of basketball coaching legend John Wooden. As many people are aware, Wooden was known as the “Wizard of Westwood” for his unmatched success as coach of the UCLA men’s basketball team, leading them to a record 88 consecutive victories and 10 national championships among other accomplishments. What is less widely publicized is the strategy that Wooden designed and deployed in order to recruit, assess, select, develop, and mentor his players into successful individuals on and off the court. This aspect of the coach’s legend interestingly establishes him as not only an innovator in the sport of basketball, but also a pioneer in the realm of talent management.
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