Given the validity results you found, would you recommend use of this test as a selection device? If so, how would you use it?

You just became the head of staffing for BabyBots, a manufacturer of small robots. You were surprised to learn that the company had never validated the manual dexterity test it uses to assess job candidates for its manufacturing jobs.
You decided to do a concurrent validation study and administered the test to thirty manufacturing workers. Their scores are reported in Table 8-4, along with their ages, sex, race, and job performance ratings. You also calculated the correlation between the manual dexterity test and job performance to assess the test’s validity. You then examined the relationship between employees’ test scores and their performance ratings. The results of this analysis are shown in Tables 8-5 and 8-6.

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TABLE 8-4 Validation Data for the Manual Dexterity Test Employee Sex Race Age Test Performance Score Rating 1 0 0 35 36 90 2 1 32 44 95 3 1 0 44 50 95 2222222 23 1 2 24 0 2 25 0 2 132 19 48 94 23 48 94 27 36 74 26 1 1 18 46 85 27 1 1 26 44 79 28 0 1 21 50 95 29 0 2 23 34 70 4 0 2 42 49 93 30 1 1 28 44 83 5 1 2 36 46 89 Mean 34.07 43.97 86.73 6 1 33 52 94 SD 9.33 5.54 7.91 7 0 1 45 50 92 Min 18.00 32.00 70.00 8 0 0 48 50 93 Max 49.00 52.00 95.00 9 1 2 34 42 83 10 1 2 46 44 89 Range 31.00 20.00 25.00 11 1 0 30 40 87 12 1 0 39 48 13 1 2 31 47 14 0 1 49 39 5678922 15 1 0 47 48 16 1 40 38 17 0 0 44 38 18 0 1 33 19 1 0 43 46 20 1 0 36 48 21 1 1 22 0 2 28 w & 2 w w w to w 20 95 Race: 0 Performance rating: 0 = 0% efficiency, 100 = 100% efficiency Sex: 0 = male; 1= female Hispanic; 1 = White; 2 = Black 90 80 TABLE 8-5 Correlation Table 92 Job 79 Age Test Performance 80 Age 1.00 36 72 Test 0.12 1.00 89 Job 0.18 0.86 1.00 92 Performance 46 89 32 70 Note: Correlations underlined and in bold indicate statistical significance at a level of p < .05.