Quantitative Data Analysis
Means, percentages, frequency distributions, and standard
deviations were analyzed for demographics and categorical
variables. Chi square tests were used to assess the relationships
between the categorical variables and mother’s
advice and BSE practice. t tests were used with continuous
variables to assess the differences between levels of breast
cancer prevention knowledge, attitude, and BSE practice.
Logistic regression was used to determine the extent to
which factors predicted the dependent variables, receiving
mother’s advice and conducting BSE. The .05 p value was
Quantitative Data AnalysisMeans, percentages, frequency distributions, and standarddeviations were analyzed for demographics and categoricalvariables. Chi square tests were used to assess the relationshipsbetween the categorical variables and mother’sadvice and BSE practice. t tests were used with continuousvariables to assess the differences between levels of breastcancer prevention knowledge, attitude, and BSE practice.Logistic regression was used to determine the extent towhich factors predicted the dependent variables, receivingmother’s advice and conducting BSE. The .05 p value was
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