Skip to main content

Table 2 Multivariable analysis of the association of student characteristics with cybervictimization

From: Cybervictimization among secondary students: social networking time, personality traits and parental education

 Model 1a)
aOR (95% CI)
Model 2b)
aOR (95% CI)
Model 3c)
aOR (95% CI)
Age1.305 (1.010–1.687)1.197 (0.947–1.513)1.276 (.985–1.653)
Female1.268 (0.882–1.822)1.331 (0.980–1.809)1.231 (0.854–1.774)
Parental education
 Mother education (secondary or more)1.060 (0.695–1.617)1.010 (.693–1.474)1.080 (0.707–1.651)
 Father education (secondary or more)1.023 (0.693–1.509)1.098 (0.772–1.562)0.990 (0.669–1.465)
Personality traits, z-score
 Openness1.070 (0.901–1.271)_1.074 (0.903–1.279)
 Conscientiousness0.730 (0.599–0.888)_0.742 (0.606–0.908)
 Extraversion1.454 (1.190–1.778)_1.418 (1.154–1.742)
 Agreeableness1.035 (0.835–1.284)_1.037 (0.834–1.289)
 Emotional Instability1.575 (1.318–1.881)_1.566 (1.307–1.877)
Social network use
 Daily social network use 1.211 (1.042–1.407)1.109 (.938–1.311)
  1. Logistic regression analysis; a) Model 1: X2 = 57.70; p > 0.001; −2loglikelihood = 845.51; Nagelkerke R2 = 0.08 b) Model 2: X2 = 14.40; p = 0.006; −2loglikelihood = 978.58; Nagelkerke R2 = 0.03; c) Model 3: X2 = 60.53; p > 0.001; −2loglikelihood = 849.41; Nagelkerke R2 = 0.12