![]() ![]() The problem is that both models make sense and that based on my research, it also makes sense to take a look at both models. Because of that strange behavior, I don't know what the end conclusion is: does having a college degree have or have not an impact on your creativity/does being older than 25 have or have not an impact on your creativity? When I add the interaction terms, the model says that having a college degree doesn't have any influence while being older than 25 has an influence. My first model (based on all the data without making subgroups) says that having a college degree has a significant influence on your level of creativity and that being older than 25 doesn't have any significant influence. What do these findings mean if the coefficients of hasCollegeDegree and isOlderThan25 change so drastically leading to two totally different conclusions? Taking all this into account, I have a main question: I also understand that the meaning of the main effects is totally different in the two models due to the interaction effect. I understand that it is normal that my coefficients change as there are two different linear models. The coefficients of the interaction terms are also not significant. The differences between 0.03 and 0.13 or -0.08 and -0.47 for example are quite. hasACollegeDegree becomes not significant (coefficient 0.03) and isOlderThan25 becomes significant with a value of -0.47. When I add the interaction terms, this changes. When I run a normal linear regression (no interaction), I see that hasACollegeDegree has a significant influence with a coefficient of 0.13 and that isOlderThan25 is not significant with a coefficient of -0.08. My real model exists of 16 main variables besides hasACollegeDegree and isOlderThan25 (control groups) and 32 interactions (16 with hasACollegeDegree and 16 with isOlderThan25) but I simplified this model over here for practical reasons. if a person is a woman, the variable will be equal to 0. The dependent variable can vary between 0 and 10. $levelOfCreativity = \alpha Extravert \beta Woman \gamma hasACollegeDegree \zeta isOlderThan25 \mu Extravert * hasACollegeDegree \delta Woman * isOlderThan25$ $levelOfCreativity = \alpha Extravert \beta Woman \gamma hasACollegeDegree \zeta isOlderThan25$ ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |