Skip to main content

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