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Table 3 Binary logistic regression analysis for prediction of admission decision

From: Need for cognitive closure, tolerance for ambiguity, and perfectionism in medical school applicants

Parameter

Regression coefficient

Standard error

Wald

df

p

Odds ratio

16-NCCS

-1.09

0.40

7.27

1

.007

.34

Age

0.28

0.10

7.21

1

.007

1.33

AP

0.33

0.20

2.75

1

.097

1.39

TAS

-0.61

0.44

1.91

1

.167

.55

MP

-0.09

0.22

0.17

1

.678

.91

Model fit

Nagelkerke’sR2

χ2

df

p

 
 

.135

17.81

5

.003

 
  1. 16-NCCS 16-item Need for Cognitive Closure Scale, AP Adaptive Perfectionism, TAS Tolerance for Ambiguity Scale, MP Maladaptive Perfectionism