Steps for Creating a Joint Display of Integrated Data Collection
| Step Description | Researcher Considerations/Impressions |
|---|---|
| Step 1: Identify each distinct data source used in the study. | This step requires a data sources template; an example can be found in the workbook by Fetters.17 |
| Step 2: Within each data source, identify the quantitative and qualitative variables that will be collected. | Valuate the variables obtained from each source, which may be best done when the sources are considered to be separate. |
| Step 3: Using a parallel arrangement, align the separate sources of data delineating between quantitative and qualitative variables within each source. | Consider the example table structure to place the separate data sources. Each source should still be considered separate for this step. |
| Step 4: Identify the theory, model, or framework used in the study and link the quantitative and qualitative variables to the construct of best fit within each separate data source. | Organizing by construct will ultimately allow for future integration. Some variables may fit in multiple constructs and could be placed in the best fit or in both locations. Determining a theory, model, or framework is explained by Varpio et al28 and Nilsen.29 |
| Step 5: Taking the mixed variables now organized by construct, align and fit the constructs between each data source while adhering to an arrangement that communicates the separate sources. | This step begins linking the variables from each source when organized by construct. Be sure the table structure still clearly delineates the sources. |
| Step 6: Apply example questions within each construct row using the linked mixed variables arranged by each source to further explain the organization rationale. | This step links the separate sources and integrates the quantitative and qualitative variables. Example questions can be study outcomes or hypothetical examples to help explain the organizational rationale. |