There is no right answer here, because you do not have a clear cutoff point.
However, if you can provide a good reason for choosing a certain cutoff point, then all is good. To validate your decision, you could do comparisons between results, using different cutoff points and even using only extreme values, or using all values except 3.
I would strongly suggest comparing results using different cutoff points. You don't necessarily have to write up those procedures, but these comparisons would help you make a valid decision.
There is no right answer here, because you do not have a clear cutoff point.
However, if you can provide a good reason for choosing a certain cutoff point, then all is good. To validate your decision, you could do comparisons between results, using different cutoff points and even using only extreme values, or using all values except 3.
I would strongly suggest comparing results using different cutoff points. You don't necessarily have to write up those procedures, but these comparisons would help you make a valid decision.
This is a very simple procedure in SPSS 22.0. Select "transform variable within same set" from the main menu bar. Then recode variables in the same set as follows:
Hi guys, this is really helpful. I am having the same issue. Do you guys have any references that you can direct me to? That will be helpful to justify the operationalization of the variable. Thanks!
basically your idea - of 1 2 in one category and 3, 4, 5 in the other assumes that coefficients of 1 and 2 are the same, and those or 3, 4, 5 also the same as each other. With enough data (degrees of freedom), this is testable.
Yeah, any literature to support this breakdown of the scale into binary?. I'm working the same thing for my thesis and my supervisor has asked me to get literature to support it. Any help with literature ?