Thanks for your input Kunal. I will need to do the SAS Statistics course to gain a better understanding.
Even before going on to the steps you have outlined, what data transformations would I need so that I can perform sound analyses on the data? I had compiled a list of some task sections in SAS Studio that I think are useful in data and statistical analysis generally. In addition, to what you have recommended do you think there are other tasks / analyses from the list below that might be of value:
List Table Attributes, Characterize Data Task, Describe Missing Data, List Data, Transpose Data, Stack/Split Columns, Filter Data, Select Random Sample, Partition Data, Sort Data, Rank Data, Transform Data, Standardise Data
Bar Chart, Bar-Line Chart, Box Plot, Bubble Plot, Histogram, Line Chart, Mosaic Plot, Pie Chart, Scatter Plot, Series Plot, Simple HBar
Data Exploration, Summary Statistics, Distribution Analysis, One-Way Frequencies, Correlation Analysis, Table Analysis, t-Tests, One-Way ANOVA, Nonparametric One-Way ANOVA, N-Way ANOVA, Analysis of Covariance, Linear Regression, Binary Logistic Regression, Predictive Regression Models, Generalised Linear Models, Mixed Models, Partial Least Squares Regression
Power and Sample Size
Pearson Correlation, Multiple Regression, Confidence Intervals, Tests of Proportion, t Tests, Cox Regression
Principal Component Analysis, Factor Analysis, Canonical Correlation, Discriminant Analysis, Correspondence Analysis, Multidimensional Preference Analysis
Time Series Data Preparation, Time Series, Exploration, Modeling and Forecasting
Appreciate your time.