We followed a 3-step data analysis procedure: 1.
We used a two-step data analysis procedure; variable selection through random Forest regression, followed by shortlisting of significant explanatory variables using linear mixed-effect models.
A two-step data analysis approach (measurement model and structural model) of the structural equation model was applied.
To assess the construct validity of the measures prior to model estimation, a three-step data analysis was undertaken [ 48, 49].
We therefore used labeling index in our next step data analysis, which can either be judged semiquantitatively under light microscopy or evaluated more quantitatively by digital imaging.
Lastly, we will use a traditional paper logbook to track and record research activities (meeting notes, decisions, procedures, communications, calendar, telephone numbers, expenses, etc).. Overall, it will be a two-step data analysis process.
A step-by-step, systematic data analysis approach is presented, resulting in design of a purely data-driven model, able to accurately discriminate between various coastal water pollution levels.
The process of model development in QSPR is generally divided into three steps: data preparation, data analysis, and model validation [8 11].
In conclusion, the steps of data analysis of laboratory experiment are summarized as following: 1.
KR participated in initial steps of data analysis.
