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Table 4 Logistic regression results (RN and AHP)

From: The early retiree divests the health workforce: a quantitative analysis of early retirement among Canadian Registered Nurses and allied health professionals

 

RN model

AHP model

Odds ratio

Bootstrap standard error

z

95% CI lower

95% CI upper

Odds ratio

Bootstrap standard error

z

95% CI lower

95% CI upper

Constant

35 176.77

57 963.31

6.35*

1 392.08

888 884.70

10 156.86

22 202.72

4.22*

139.97

737 006.90

Age (at time of data collection)

.86

.02

− 6.44*

.82

.90

.89

.02

− 4.64*

.85

.94

Household income

1.61

.35

2.20*

1.05

2.47

1.00

.23

.01

.65

1.56

Factors contributing to retirement decision

 Financial possibility

2.49

.84

2.71*

1.29

4.82

2.35

1.24

1.61

.83

6.63

 Pension eligibility

.68

.35

− .75

.25

1.87

.72

.32

− .073

.30

1.73

 “Tired of work”

.49

.17

− 2.04*

.25

.97

.54

.38

− .88

.14

2.12

 Pursuit of hobbies

1.05

.54

.10

.38

2.85

.64

.39

− .73

.19

2.13

 Retirement (dis)incentives

1.40

.88

.54

.41

4.82

1.79

1.15

.91

.51

6.29

 Organizational restructuring

3.94

2.68

2.02*

1.04

14.96

5.59

3.85

2.50*

1.45

21.58

 Agreement with spouse

2.15

1.18

1.40

.74

6.28

1.85

1.30

.87

.46

7.34

 Caregiving responsibilities

7.60

6.05

2.55*

1.59

36.17

2.68

2.75

.96

.36

20.03

  1. RN model Log likelihood: − 137.91, Wald chi-square (10) = (p < .001), 43 replications, pseudo-R2 = .25
  2. AHP model Log likelihood: − 71.71, Wald chi-square (10) = (p < .001), 26 replications, pseudo-R2 = .19
  3. *p < .05
  4. The italicized entries are the Odds Ratios associated with significant z scores