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. 2022 Jun 9;22:448. doi: 10.1186/s12909-022-03518-0

Table 4.

Multiple regression analysis predicting electrocardiogram interpretation competency

Variables B S. E Beta t Sig
(Constant) 5.153 1.436 3.588 P < 0.0001
Age 0.504 0.280 0.166 1.797 0.073
Gender −0.042 0.242 −0.009 −0.176 0.861
Educational Level 0.554 0.182 0.221 3.043 0.003
Job Title −0.115 0.106 −0.078 −1.086 0.279
Experience −0.085 0.041 −0.195 −2.082 0.038
Has taken an ECG course? −0.335 0.268 −0.071 −1.250 0.212
Last training time Years 0.123 0.070 0.096 1.766 0.078
Type of training −0.198 0.212 −0.048 − 0.930 0.353
Task EKG −0.042 0.248 −0.009 −0.170 0.865
Self-assessment of EKG interpretation competency 0.586 0.170 0.197 3.443 0.001
Experience in CCU −0.443 0.336 −0.079 −1.316 0.189
How Many EKG Record in Shift −0.061 0.060 −0.059 −1.020 0.309
Type of Hospital −0.458 0.186 −0.134 −2.455 0.015

R2 = 0.20, F (6.024), P < 0.001 A Dependent variable: Electrocardiogram interpretation competency