Data analysis

Data were analyzed using Statistical Package for Social Sciences (SPSS) software version 20 to calculate means (M), standard deviation (SD), frequencies and percentages. Mean and standard deviation were calculated from the scores of the subscales to determine the respondent's level of agreement based on items on the CPEET and were ranked based on the highest mean score. Frequency tabulations and percentages were followed when analyzing the demographic data of the respondents. On each subscale, the scores ranged from 7 (the highest possible average) to 0 (the lowest possible average). Analysis of variance (ANOVA) was used to determine if differences between preceptor scores on the Role domain and Experience and education domain sub scales were due to sex, educational qualification, years of post-registration experience, preceptorship training institution and post preceptorship training experience. Post-hoc analyses were conducted using Tukey's HSD to test the differences in scores.