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Table 5 Regression models testing the moderation effects of teachers’ age on the relation between TEDDICS and CSE

From: The relation between teachers’ emphasis on the development of students’ digital information and communication skills and computer self-efficacy: the moderating roles of age and gender

  TEDDICS factors (dependent variables)
Predictors Accessing digital information Evaluating digital information Sharing & communicating digital information
Estimate and 95 % CI
 Computer self-efficacy: basic operational skills
  Age −.034 [−.240, .172] −.167 [−.407, .073] −.147 [−.377, .084]
  CSE .342 [−.704, 1.387] .220 [−.385, .825] .287 [−.005, .578]
  Age × CSE .270 [−.825, 1.365] .196 [−.274, .665] .038 [−.217, .294]
 Computer self-efficacy: advanced operational and collaboration skills
  Age .044 [−.180, .268] −.078 [−.363, .207] −.036 [−.253, .182]
  CSE .244 [.115, .372] .313 [.113, .513] .397 [.249, .544]
  Age × CSE .167 [.037, .296] .169 [−.099, .437] .191 [.026, .356]
 Computer self-efficacy: instructional purposes
  Age .012 [−.188, .211] −.100 [−.353, .153] −.105 [−.310, .100]
  CSE .273 [.146, .399] .352 [.136, .568] .360 [.255, .465]
  Age × CSE .101 [−.025, .227] .065 [−.074, .205] .082 [−.005, .168]
  1. The table shows the unstandardized regression coefficients and their 95 % confidence intervals. Statistically significant coefficients are written in italics figures