Table 4.
Variables | Regression coefficient (β) | Std. error | Standardized coefficients | t | p value |
---|---|---|---|---|---|
(Constant) | 17.431 | 0.973 | 17.915 | 0.000 | |
Age in years | 0.084 | 0.031 | 0.225 | 2.726 | 0.007 |
Qualification as MDS | 0.797 | 0.353 | 0.124 | 2.261 | 0.025 |
Private practitioner | −1.362 | 0.378 | −0.19 | −3.606 | 0.000 |
Experience between 5 and 10 yrs | 1.106 | 0.42 | 0.152 | 2.634 | 0.009 |
Experience more than 10 yrs | 1.591 | 0.57 | 0.231 | 2.792 | 0.006 |
Simple linear regression showed a significantrelationship between knowledge with age of dentist (p < 0.001), qualification as MDS (p = 0.025), practice as private (p < 0.001), experience between 5 and 10 years (p = 0.009) and experience more than 10 years (p = 0.006). The slope coefficient for ages was 0.084 so the age of dentist increases by 0.084 unit of knowledge for each extra years of age. The R2 value was 0.311 so 31.1% of the variation in knowledge can beexplained by the model containing age, education, type of practice and years of experience