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You just became the head of staffing for BabyBots, a manufacturer of small robot

ID: 3204545 • Letter: Y

Question

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 administer 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.

[[The data file required for this exercise is located at: http://www.pearsonhighered.com/phillips]]

Table 8-4 Validation Data for the Manual Dexterity Test

1

Employee

Sex

Race

Age

Test Score

Performance Rating

0

0

35

36

90

2

0

1

32

44

95

3

1

0

44

50

95

4

0

2

42

49

93

5

1

2

36

46

89

6

0

1

33

52

94

7

0

1

45

50

92

8

0

0

48

50

93

9

1

2

34

42

83

10

1

2

46

44

89

11

1

0

30

40

87

12

1

0

39

48

95

13

1

2

31

47

90

14

0

1

49

39

80

15

1

0

47

48

92

16

1

1

40

38

79

17

0

0

44

38

80

18

0

1

33

36

72

19

1

0

43

46

89

20

1

0

36

48

92

21

1

1

22

46

89

22

0

2

28

32

70

23

1

2

19

48

94

24

0

2

23

48

94

25

0

2

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

30

1

1

28

44

83

Mean

34.07

43.97

86.73

SD

9.33

5.54

7.91

Min

18.00

32.00

70.00

Max

49.00

52.00

95.00

Range

31.00

20.00

25.00

Performance rating: 0 = 0% efficiency, 100 = 100% efficiency

Sex: 0 = male; 1 = female

Race: 0 = Hispanic; 1 = White; 2 = Black

Table 8-5 Correlation Table

Age

Sex

Males (0)

Race

Hispanic (0)

Age

Test

Job Performance

1.00

Test

0.12

1.00

Job Performance

0.18

0.86

1.00

Note: Correlations underlined and in bold indicate statistical significance at a level of p < .05.

Table 8-6

Above a Cutoff of 43

Above 43

Total Count

Percent

7 7

14

50.00 .

Females (1)

13

16

81.25

Total

20

30

66.67

Above a Cutoff of 43

Above 43

Total Count

Percent

6 6

9

66.67

White (1)

8

11

72.73

Black (2)

6

10

60.00

Total

20

30

66.67

Questions:

1. What kind of relationship exists between employees’ scores on the manual dexterity test and their performance ratings?

2. Suppose a candidate scored 44 on the manual dexterity test. The regression equation predicting job performance using the manual dexterity test is:

32.465 + (1.234 ´ Manual dexterity test score)

What is the candidate’s predicted job performance?

3. Assume that only candidates with predicted performance above 85 are to be hired. This translates to a score of at least 43 on the manual dexterity test. Assume only those with scores above 43 were hired (20 of the 30 people in this sample). Would the use of this test have led to evidence of adverse impact based on sex or race? The relevant data on the 20 people exceeding the cutoff are above in Table 8-6. Show your computations for adverse impact and then explain why adverse impact exists or not.

Hired

Total

Percentage

Males

Females

80% rule

Adverse impact for gender? Yes or no?

Hired

Total

Percentage

Hispanic

White

Black

80% rule

Adverse impact for race? Yes or No?

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

Employee

Sex

Race

Age

Test Score

Performance Rating

0

0

35

36

90

2

0

1

32

44

95

3

1

0

44

50

95

4

0

2

42

49

93

5

1

2

36

46

89

6

0

1

33

52

94

7

0

1

45

50

92

8

0

0

48

50

93

9

1

2

34

42

83

10

1

2

46

44

89

11

1

0

30

40

87

12

1

0

39

48

95

13

1

2

31

47

90

14

0

1

49

39

80

15

1

0

47

48

92

16

1

1

40

38

79

17

0

0

44

38

80

18

0

1

33

36

72

19

1

0

43

46

89

20

1

0

36

48

92

21

1

1

22

46

89

22

0

2

28

32

70

23

1

2

19

48

94

24

0

2

23

48

94

25

0

2

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

30

1

1

28

44

83

Mean

34.07

43.97

86.73

SD

9.33

5.54

7.91

Min

18.00

32.00

70.00

Max

49.00

52.00

95.00

Range

31.00

20.00

25.00

Performance rating: 0 = 0% efficiency, 100 = 100% efficiency

Sex: 0 = male; 1 = female

Race: 0 = Hispanic; 1 = White; 2 = Black

Explanation / Answer

I suppose the tables are as shown above. Please note the answers to questions below: -

1)

The correlation between the test scores and job performance is 0.86 which means that there is positive correlation between the two.

2)

32.465 + (1.234 * Manual dexterity test score)

32.465 + (1.234 * 44)

32.465 + 54.296

86.761

3)

It would have adverse impact for the gender as per the 4/5th rule. Females being hired are (>80%). However, the males that can be hired are only 50% and should be hired are (80*80%)=64% to cancel out adverse effects. Hence, that condition is not being met. This rule wont have any adverse impact on the race.

4)

This test is valid and can be used. However, this should be used very carefully because the test can cause adverse impact on males.

Age Test Job Performance Age 1 Test 0.12 1 Job Performance 0.18 0.86 1 Above 43 Total Count Percent Males (0) 7 14 50 Females (1) 13 16 81.25 Total 20 30 66.67 Above 43 Total Count Percent Hispanic (0) 6 9 66.67 White (1) 8 11 72.73 Black (2) 6 10 60.00 Total 20 30 66.67
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