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. 2016 Feb;51(2):153–161. doi: 10.4085/1062-6050-51.4.02

Table 2. .

Logistic Regression Predicting Return-to-Learn Policy Existence (n = 676)

Variable
Wald Scorea
P
Odds Ratio
95% Confidence Interval for Odds Ratio
Athletic training experienceb 0.0 .92 1.0 0.9, 1.1
Experience at secondary school 1.6 .21 0.9 0.9, 1.0
Experience at current schoolc 1.0 .33 1.0 1.0, 1.1
Employment statusd 2.7 .10 1.4 0.9, 2.0
Salary from school/district 2.2 .14 1.3 0.9, 1.9
Concussions evaluatede 5.4 .02 1.2g 1.0, 1.5
Communication with teachersf 19.4 <.001 1.5h 1.2, 1.7
No. of athletic trainers 6.4 .01 1.4g 1.1, 1.8
Licensure status 2.5 .12 1.8 0.9, 3.7
Constant 24.7 <.001 0.1
a 

Indicates strength of the predictor.

b 

Indicates years as a licensed or credentialed athletic trainer in any employment setting. Sample includes respondents with <21 years of experience.

c 

Indicates years as a licensed or credentialed athletic trainer at the current school of employment. Sample includes respondents with <21 years of experience at the current school.

d 

Includes full-time and half-time status only.

e 

Indicates a scale with increments of 5 concussions evaluated annually.

f 

Includes frequency as never/seldom and often/always. Respondents who answered not applicable were not included.

g 

Indicates difference (P < .05).

h 

Indicates difference (P < .01).