Reference no: EM13348037
Describe about data analysis
• Briefly address the data analysis process.
• Identify and justify the univariate, bivariate or multivariate statistical techniques that were used to describe and analyze your quantitative data.
• Show the connection between your research questions and the analysis that you conducted.
These are the variables:
Dependent variables-
a) BMI
b) personal image described as thoughts and feelings about their body.
Independent variables-
a) sedentary behaviors described as daily average hours on computer/video games and daily average hours on television, (
b) physical activity behaviors described as number of hours of exercise per week,
(c) nutrition patterns described as how often they eat fruits and how often they eat vegetables per week
Generally, you should use at least one bivariate analysis to examine the relationship between your independent variables and dependent variables. The most used statistical method is "chi-square". However, the dependent variable is a continuous variable (BMI) instead of categorical, you should use t-test or ANOVA. It is better that you also use multivariate analysis (to adjust potential confounding effects). Generally, the most used one is logistic analysis
• Briefly address the data analysis process.
• Identify and justify the univariate, bivariate and/or multivariate statistical techniques that were used to describe and analyze your quantitative data.
• Show the connection between your research questions and the analysis that you conducted.
Referencing style: APA format