Dear community,

In an experiment I conducted where i implemented different gamification strategies to see whether people would issue more reports (of problems in their environment) to the government about problems in their environment (potholes/trash/broken streetlamp, graffiti, etc). GamDes represents the strategies and the baseline is not having a strategy. I wanted to see whether personalities (referred to in the table as HEXAD_UserType) would moderate the relationship between the gamification design a user is in and the Total number of reports they would make. I utilised the following command:

rreg Total_No_Reports ib0.GamDes ib2.HEXAD_UserType ib0.GamDes##ib2.HEXAD_UserType Age Gender Perceived_Usefulness_Before Perceived_Enjoyment_Before Willinginess_To_Recommend_Before

and the output is:


From the following reference: http://www.restore.ac.uk/srme/www/fa.../12/index.html I think I need to interpret the results in the following way. The GamDes coefficients represents or is interpretable as the 'boost' in total_no_reports for Personality type 2 (the baseline) residing in GamDes 1 and GamDes 2.

So take, for example, the interaction between 2*3 from the GamDes#Hexad_UserType interactions. It represents Gamification Design #2 * Personality Type #3. The effect has to be compared to the boost of Personality type 2 in Gam Des 2, which is approximately 14.2 in the table above. Personality type #3 in GamDes #2 has a coefficient of -13.6 so being that personality type in GamDes #2 produces a lower boost/effect on the total number of reports compared to personality type #2 in GamDes #2 14.2 + (-13.6) = 0.6.

From the reference: https://www.theanalysisfactor.com/in...ar-regression/ I could interpret the results similarly in the following way. The constant coefficient 4.2 represents the total_no_reports at the baseline (GamDes = 0, and Hexad_UserType = 2). The GamDes #1 and #2 coefficients show the 'boost' in Total_no_reports at the Hexad_UserType = 2. Thus, for example, being in GamDes 2 and being a personality (hexad_usertype) # 2 you add the coefficients together, 4.2 + 14.2 = 16.4. Now, if you are in GamDes #2 but you are personality type 3 you would have to calculate it the following way: 4.2 + 14.2 - 13.6 = 4.8 (should I also include the main effect of personality type 3, or leave it out of the calculation because it is insignificant?). Thus, being in the gamification design #2 with a personality type #3 lowers the total_no_reports made compared to being in gamification design #2 as personality type #2. The same could be said for the baseline of both. If the constant represents GamDes 0 and personality type 2 (=4.2), then being in GamDes 2 as personality type 3 (4.2+14.2-13.6) would be would be slightly higher than the constant. Or can you not compare different GamDesigns in this case?

In any case I can denote that gamification designs is moderated at different levels of personalities in regard to the total number of reports made. Is this a correct understanding of the interaction terms?

Kind regards,
Michiel