
Emotions_and_Decision Making

Emotions_and_Decision Making
In my study, I used a computer interface (Saad, 1998) to track participants' behaviors as they chose between competing pairs of apartments to rent. Participants (n = 84) were administered the CES-D scale to measure their levels of dysphoria and were subsequently split into two groups as a function of their scores (sample sizes for the non-depressives and depressives were 52 and 32 respectively). Sixteen dependent variables were compared across the two groups, one of which was the number of attributes that were acquired (on the competing apartments) prior to making a choice (a proxy measure of cognitive effort). Incredibly, I obtained null effects for all but one of the dependent measures. In other words, the only robust finding was the veracity of the null effects!
At the time, I had submitted the paper to a special issue on emotions in decision making hosted in a top psychology journal. The guest editor got back to me and pronounced that whereas the paper was very interesting and the methodology was highly rigorous, the extent of null effects precluded its publication. This brings me to an important point that has been raised by numerous scholars across several disciplines, namely the harm that the null effects bias causes on the advancement of science. Ultimately, if only positive results are published, it provides an inaccurate picture of the totality of actual findings for a given phenomenon.
I am thinking of reviving this paper and sending it off for publication in the near future. Wish me luck as I tackle the null effects bias! Ciao for now.
Source for Image:
http://www.amazon.com/Emotions-Help-Hurt-Decision-Making/dp/08715...
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