Designing the study, data analysis, and interpretation.
Data mining algorithm development (cluster, a decision tree, mathematical model)
Estimating sample size and power for the study
Interpretation of analysis presented in the form of Tables and Figures
Questionnaire (survey tool), & Interview guide development
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Primary & Secondary data collection (Field survey & Online)
Offer analytical solutions for meta-analysis
Qualitative textual analysis using software or manual.
Help in the statistics homework
Transcribing your qualitative textual data
Peer review in terms of sample size, power of the study, test appropriateness, presentation of data
Methodology can be defined as the rationale for the methods used in each study.
