Statistical Technique Sample Clauses

Statistical Technique. There were 46 subjects participated in the study. Knowledge, attitude and practice scores (including percent scores) were calculated and treated as continuous variables whilst other variables such as age, gender, pregnant status, education level, duration of employment and the employee’s role in the laboratory were treated as categorical variables. Non- parametric analysis was done because of the small sample size and abnormal distribution of scores. The Analysis of Variance (ANOVA) and Kruskal-Wallis Test were used to examine the association of either the knowledge percent score, practice percent score or attitude percent score of socio-demographic characteristics. The ANOVA and Kruskal-Wallis Test are the standard ways to see the relationships between a continuous variable and a categorical variable. The Xxxxxxxx Correlation Coefficient was estimated to measure the relationship between (a) knowledge percent score and practice percent score, (b) knowledge percent score and attitude percent score and (c) practice percent score and attitude percent score. The level of significance for the p-values were set at (alpha= 0.05) for all tests (Motulsky 1995). The SAS statistical package V9.2 (SAS Institute Inc, Cary North Carolina) was used for data analysis.
Sample 1
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