Data Analysis

 

Checklist:

☐ Describe the strategies that will be (proposal) or were (manuscript) used to code and/or analyze the data, and any software that will be (proposal) or was (manuscript) used.

☐ Ensure the data that will be (proposal) or were (manuscript) analyzed can be used to answer the research questions and/or test the hypotheses to address the identified problem.

☐ Use proper terminology associated with each design/analysis (e.g., independent and dependent variables for an experimental design, predictor and criterion variables for regression).

☐ For quantitative studies, describe the analysis that will be (proposal) or was (manuscript) used to test each hypothesis. Provide multiple sources as supporting evidence that the statistical tests chosen are appropriate, given the level of measurement, number of variables, and grouping of the variables. Explain the assumptions of your chosen statistical tests and how your data will meet these assumptions.

☐ For qualitative studies, describe how the data will be (proposal) or were (manuscript) processed and analyzed.

☐ Explain the role of the researcher in ensuring ethical assurances and trustworthiness (credibility, dependability, transferability, & confirmability) in the context of the data analysis process.

☐ For mixed methods studies, include all of the above.