Skip to main content

Table 4 Factors affecting latent profile types

From: Analysis of latent profiles and affected factors according to the implementation of a protection system against customer bullying in Korea

Characteristics Categories Comparison group (Ref= Lagging type (Type 1))
Medium type (Type 2) Relative preventive type (Type 3) Excellent type (Type 4)
OR p 95% CI OR p 95% CI OR p 95% CI
Age 0.972 0.022 0.948-0.996 0.998 0.823 0.976-1.019 0.972 0.150 0.936-1.010
Gender (ref= male) 6.507 < 0.001 4.069-10.405 2.757 < 0.001 1.923-3.953 3.207 < 0.001 1.723-5.966
Service period 1.005 0.001 1.002-1.007 1.001 0.541 0.998-1.003 1.002 0.258 0.998-1.006
Position (ref= Staff) 2.677 < 0.001 1.592-4.501 2.174 0.003 1.314-3.596 4.680 < 0.001 2.402-9.118
Occupational category
(ref=other)
Sales 2.038 0.102 0.868-4.783 2.219 0.034 1.060-4.645 1.361 0.604 0.425-4.363
Health and social welfare 1.966 0.199 0.701-5.518 1.138 0.798 0.422-3.071 2.019 0.326 0.497-8.208
Call center 4.289 0.008 1.466-12.542 2.449 0.079 0.902-6.650 1.398 0.728 0.212-9.232
Visiting service 0.403 0.108 0.134-1.219 0.580 0.230 0.238-1.413 0.201 0.090 0.031-1.285
Worker monitoring scope 1.071 0.387 0.917-1.251 0.974 0.718 0.843-1.124 1.391 0.001 1.138-1.702
Decrease in the number of customers causing problems 0.666 0.009 0.491-0.903 0.781 0.083 0.590-1.033 0.876 0.596 0.537-1.430
Decrease in disputes with customers 1.379 0.047 1.005-1.893 1.310 0.067 0.981-1.751 2.177 0.004 1.275-3.718
Worker satisfaction 2.049 < 0.001 1.664-2.524 1.419 < 0.001 1.176-1.711 2.234 < 0.001 1.577-3.165
  1. -2 Log Likelihood = 2558.639, df=36, p= <.001
  2. Cox and Snell R2 = .251, Nagelkerke R2 = .292