21 Jul Studies 1A: Item Purification And Measure Structure
After identifying the brand new half dozen no. 1 monetary unfaithfulness domain names, we went on having level-item age group. According to the advice provided by hitched some one regarding airplane pilot studies and you can considering face validity and you may semantic redundancy, i generated 31 activities, five out of each domain, meant to level economic unfaithfulness proneness. Computing for each website name which have several issues advances precision and you may catches an effective larger selection of habits ( Baumgartner and Homburg 1996; Churchill Jr. 1979). I questioned the routines to create just one, unidimensional scale. The brand new 30 things would be to represent certain types of the broader financial infidelity construct (we.elizabeth., the newest work and/otherwise concealment). For this reason, what it is out of study 1A would be to refine the list of 30 scale facts into the a reliable and you will parsimonious financial unfaithfulness proneness measurement product and you can sample for unidimensionality.
Participants and Processes
We employed 1,003 married grownups via MTurk (age range: 19–83, mean years = 40, 66% female) who have been partnered to possess eleven.nine decades an average of. Players were offered brand new 29 monetary unfaithfulness proneness measure situations when you look at the good randomized purchase ( websites appendix C ). Participants responded to for every single goods having fun with an effective seven-point size (1 = highly disagree, 7 = highly concur).