the effect of interviewer on rank list: an imperfect science becomes more imperfect

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The Effect of Interviewer on Rank List: An Imperfect Science Becomes More Imperfect Daniel Vargo, MD Program Director, General Surgery Associate Professor, Dept. of Surgery University of Utah School of Medicine

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The Effect of Interviewer on Rank List: An Imperfect Science Becomes More Imperfect. Daniel Vargo, MD Program Director, General Surgery Associate Professor, Dept. of Surgery University of Utah School of Medicine. Disclosures. None. Background. Applicant Selection: Surgery Job Description - PowerPoint PPT Presentation

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The Effect of Interviewer on Rank List: An Imperfect Science Becomes More

Imperfect

Daniel Vargo, MDProgram Director, General Surgery

Associate Professor, Dept. of SurgeryUniversity of Utah School of Medicine

Disclosures

• None

Background

• Applicant Selection: Surgery– Job Description

• Website• “Red Book”

– Applications• 526 last year

– Nebulous scoring system– Interviews

Background

• Interviews– Interviewers not HR trained– Go on “gut feeling”

• “I wanted to like/not like this candidate”

– Spend interview trying to validate feelings or impressions• Trip up questions

– Base opinion on “unusual” things…..

His socks didn’tmatch his pants

Who wears a pants suitto an interview

He had this weirdlook in his eyes

PGY-1 Summative Meeting

• Interview Comments vs. Performance– No correlation– Lowest scored intern last two years highest

performance

“Six Sigma” Evaluation

• Took process apart• Biggest perceived variable

– Interviews

Question

• How variable are the interviews?• What effect does this variability have on

process?

Methods

• 5 years data• Interviewers and scores

– “Easy Scorers”– “Hard Scorers”

• Applicants– Strong– Average– Weak

Methods

• Applicant group ranking– Compared with interview panel composition

Results

• 30 Interviewers• 303 applicants

– 909 interviews

Applicant Distribution

Strong Average Weak0

50

100

150

200

250

70(23%)

200(66%)

33(11%)

Top 10Appl.

>40Or NR

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 3050

55

60

65

70

75

80

85

90

95

100

Interview Score

“ES”

“HS”

Interview Scores:All Candidates

303 Appl Strong(70)

Average(200)

Weak(33)

ES(20) 95 91 82

HS(10) 91 81 71

ES= Easy ScorerHS= Hard Scorer

Scoring: Strong Applicants

HS=Hard ScorerP= NS

70 Appl 0-1 HS(44)

2-3 HS(26)

Ave. Int. Score 95 92

Ave. Rank Position 6 7

Scoring: Average Applicants

200 Appl. 0 HS(34)

1 HS(85)

2 HS(60)

3 HS(21)

Ave Int Score 91 89 82 76

Ave Composite

Score830 817 789 740

Rank ListPosition 22 24 26 31

Scoring: Average Applicants

200 Appl. 0 HS(34)

3 HS(21)

Ave Int Score 91 76*

Ave Composite Score 830 740*

Rank ListPosition 22 31

* p<0.05

200 Appl

134 Discussed

66 Not Discussed

200 Appl

134 Discussed

24 No HS

106 ≥ 1 HS

66 Not Discussed

200 Appl

134 Discussed

24 No HS

106 ≥ 1 HS

66 Not Discussed

6 No HS

60 ≥ 1 HS

200 Appl

134 Discussed

24 No HS

106 ≥ 1 HS

66 Not Discussed

6 No HS

60 ≥ 1 HS

Results

• ≥ 1 HS– Lower interview scores– Lower composite scores– Lower position on rank list– Less likely to be discussed at rank meeting

Assumptions

• Candidate pools are equally distributed• Interviewer “toughness” did not vary• Other variables in score calculation

consistent

Conclusions

• Interviewers do vary in type• Scores effect applicants• Another area of variability to be addressed

in the interview process