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It will eventually be important to get others on board who are interested in studying and improving the variable of interest. This can be done by noting the variable of interest in a circle in the middle of a blank page and then grouping all the predictor variables around the outcome variable so the visual looks a bit like the hub of a bike wheel with each predictor variable connected to the outcome variable by a spoke. Figure 1.1 is an example of a structural model that is ready to be converted to a measurement model.

For ease of understanding, items in the same construct would be the same color, and items in each color would then be arranged with those considered most influential positioned closest to the variable of interest. Selecting the most influential variables is important because you may decide you have only enough time or resources to address some of the variables. If this is the case, select those variables that are perceived to be the most influential.

A collection of three worksheets used by a neurosurgical nursing care unit for a study on workload, showing the progression from a full list of predictor variables to a workable model (Steps 2–5), can be found in Appendix A. These worksheets visually represent the conversion of a structural model to a measurement model. While Figure 1.1 offers a visual representation of a model with multiple constructs, showing the variables arranged by rank, Appendix A shows a slightly different visual representation, which is the representation typically used by the author of this chapter. Readers are encouraged to try both methods of representing the constructs to see which is more useful in understanding and visually communicating the information.

Figure 1.1 Variable of interest surrounded by constructs of predictor variables, arranged by rank.