I was wondering how would be the best way to report this model ?
### This model is from Winter (2019:139)
# Center SER: mutate(SER_c = SER - mean(SER, na.rm = T)
# Model:
lm(Iconicity ~ SER_c * POS)
term estimate
intercept 0.66
SER_c 0.11
POSVerb 0.72
SER_c:POSVerb 0.50
Obs: SER_c is a centered continuos predictor and POS is a categorical predictor with 2 levels (Nouns and Verbs)
- 1 I know that I cannot talk about main effects because B1 and B2 are simple effects, so would it be sth like:
"a regression model predicts an effect of SER (b = 0.11, p < 0.5) and POS (POS's beta is a composed beta between B1 + B3, so I dont know what I should report here?) as well as a significant interaction between the variables (b3 = 0.50, p < 0.05). Iconicity (the Y variable) is 0.66 for NOUNS w/ AVERAGE SER and 1.38 for VERBS w/ AVERAGE SER and the positive interaction indicates that Verbs are more iconic (the Y variable is iconicity) than Nouns for average SER words"
- 2 Also, I can talk about the interaction effect as a moderator/control, cant I? Like this:
"we have controlled for SER in our model"
- This is the paper in which Winter (the book's author) reports these results, but authors didn't include the interaction in the final version, so I'm a bit confused on how to report that
It is my first time reporting a centered lm with a significant interaction between a centered continuos variable and a categorical variable with two levels, I wanna get it right. I'd really appreciate some advice on that! Thanks in advance!