I have intention to return to teaching on a Likert scale 1-5 as my outcome variable and well-being and job satisfaction as continuous predictor variables. I have also data regarding age, sex, years out of teaching and current job. The data is positively skewed for the outcome variable at the moment (with most participants answering '1'). I am considering merging 1 and 2 into 'unlikely' categories, maintaining 3 as 'neutral' and merging 4 and 5 as 'likely' to make the groups more equal for an ordinal regression. Originally I was hoping to run a multiple regression but made a mistake with choosing a non-continuous outcome variable. What should I do now to make the chances of a good model fit more likely?

Full article content could not be extracted automatically. Read the original below.