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1978. Thus, several cohorts in the WAIS sample are also represented in the WAIS-R sample. For example, adults born in the 1909 1913 cohort were tested at ages 40 44 in 1953 (on the WAIS), and again at ages 65 69 in 1978 (on the WAIS-R). To the degree that the two samples are comparable, a comparison of the test performance of 40- to 44-year-olds on the WAIS with that of the 65- to 69-year-olds 25 years later on the WAIS-R represents a longitudinal comparison of adults from the same cohort. There are four adult cohorts represented within both the WAIS and WAIS-R standardization samples, as shown in Table 5.11. In essence, Kaufman (1990) followed each of four cohorts longitudinally from 1953 to 1978 to see if individuals born in the same era gained or lost IQ points over the course of a generation. Before making the comparisons, he verified empirically that the independent samples were extremely well matched and comparable within each of the four cohorts on the important variables of gender, race (Caucasian non-Caucasian), geographic region, and educational attainment. Then, he had to convert sums of scaled scores on the WAIS and WAIS-R to a common yardstick to permit ageby-age comparisons, and chose to use the norms for ages 25 34 for all adults in the study. Next, he had to control for the fact that different tests (WAIS vs. WAIS-R) were administered at the two points in time. Conceptually, these two adult scales are interchangeable (see 3), but because of the Flynn effect the WAIS-R yields lower IQs. Kaufman added 6 to 61 2 points to each

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WAIS-R IQ (the median IQ differences from 20 studies totaling over 1,300 subjects) (Kaufman, 1990, Table 3.13) to convert these IQs to WAIS IQs. These corrections to the WAIS-R IQs helped answer the crucial question, How many IQ points higher would adults have scored had they been administered the WAIS instead of the WAIS-R in 1978 Finally, he applied a time-lag correction to control for cultural change during the 25-year span, just as Owens (1966) did in his Iowa State study. Adjustment for cultural change requires a comparison of the IQs earned by each cohort in 1953 with the IQs earned by adults of the same age in 1978. The 1909 1913 cohort, for example, was 40 to 44 years old in 1953. This group was compared to adults aged 40 44 in 1978 to determine how cultural changes have affected test scores for this age group. Similar time-lag comparisons were conducted for each of the other three cohorts who, in 1953, were ages 20 29, 30 39, and 45 49. The analyses showed that cultural change affected each of the four cohorts about equally, producing about a 3-point IQ gain on the Verbal and Full Scales and about a 51 2point gain on the Performance Scale, presumably due to some type of culture-related change between 1953 and 1978 that affected all adults who were between the ages of 20 and 49 in 1953. Kaufman (1990) adjusted the estimated WAIS IQs earned by each cohort in 1978 for these time-lag effects to remove the influence of cultural change. KEY FINDINGS. The changes in WAIS IQs over a 25-year period from 1953 to 1978 for four

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and WAIS-R standardization samples Cohort (Year of Birth) 1924 1933 1914 1923 1909 1913 1904 1908 Age in 1953 (WAIS Standardization) 20 29 30 39 40 44 45 49 Age in 1978 (WAIS-R Standardization) 45 54 55 64 65 69 70 74

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174 PART II INDIVIDUAL DIFFERENCES ON AGE, SOCIOECONOMIC STATUS, AND OTHER KEY VARIABLES cohorts tested twice via the cohort-substitution technique are shown in Table 512, along with the effect sizes corresponding to these changes When corrected for time-lag effects, all cohorts earned lower IQs in 1978 than they did in 1953 The most striking finding in the data is the difference between the Verbal and Performance Scales Decrements in V-IQ produced small effect sizes for each cohort, (the average decrease was 24 SD) In contrast, P-IQ decrements produced moderate effect sizes for each cohort, ranging from 116 to 135 IQ points (an average decrease of 126 points or 84 SD) Substantial decreases in P-IQ occurred for each cohort whether they advanced in age from 245 to 495 (on the average) or from 47 to 72.

Observed value Data ( y)

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