Lecture Notes
Okay so as I a noted, The Kristoff Brown et. al study is a meta-analysis and for those who aren't familiar a meta-analysis is a way that researchers can quantify a relationship between two variables and at times even more complicated relationships, but typically just a relationship between two variables based on all studies that have been published, often unpublished even they try to find unpublished data sets by contacting authors on specific list serves that are relevant to their subject area, what have you. But anyway what happens in short is every possible correlation which is a quantified and standardized way to look at the relationship between two different variables. They take all the correlations they can find between a given set of variables. So for example we might look at person job fit and how that relates to job satisfaction or person job fit and how that relates to organizational commit. Okay so these are different outcomes that I already kind of introduced. So what we find is as you might imagine, different types of fit relate differently to different outcomes. Person job fit relates strongest to job satisfaction. As a correlation of .56. Organizational commitment is most strongly related to person organization fit. Now for both of these variables, organizational commitment and job satisfaction, person job fit and person organizational fit are related the strongest. When it comes to organizational commitment there's really little to no difference practically between person organization fit and person job fit. But then there's kind of a drop-off as we look at some of these other forms fit. So if you notice with person group fit and person supervisor fit, it is really a relatively weak relationship with organizational commit. So again the nice thing about meta-analyses as we get a lot of confidence in these relationships and their strength because it's not just coming from a single study, you know perhaps of just one organization or kind of within the bounds of one specific way we select participants. What it is, is what we find when we look over the course and over the scope of all studies that are available to evaluate these two variables. Okay so these are useful relationships that you might want to take with you in the working world. If you're trying to improve job satisfaction well turns out it's probably going to be worth evaluating person job fit with your employees. Okay so there's a lot of different ways you can go about that. there's a lot of consulting firms that will offer assessments of person job fit for you. If you do have a stronger statistical background, you can look into the development of these constructs in using them on your own. But really the development of tests even though we're certainly going to talk about it, I'm going to push the importance of tests actually throughout the semester but the development of tests is something that is really beyond the scope of this course but we'll certainly still speak at a high level and get you well introduced to test and measurement and its importance in selection.
