Hi,
I am currently working on a research project with the title "How does internet use affect trust? An intergenerational comparison." I'm essentially running an ordered logit model, with the dependent variable trust being made up of 11 categories. The main independent variable is also split into 4 categories of daily internet use and there are also 4 age generation categories and a range of other controls.
I've run the regression model and done a preliminary analysis using odds ratios. However, I essentially want to extrapolate the marginal effects of higher internet use compared to lower internet use the probability of a high trust outcome P(yi > 5) t and whether this varies between generations.
Thank you and please let me know if any further details are required of if this is unclear!
Well marginal effects are usually given by the regression coefficients of the model rather than as the corresponding odds ratios. Thus you should be able to calculate what you wanted by substitution into the raw regression equation assuming that I understood you question correctly..Best wishes, David Booth
BTW I should point out that since the DV is categorical you should be using multinomial logistic regression. Thus the marginal effects should tell you about the rate of change between categories caused by a 1 unit Change in each IV as with any regression equation. Best wishes, David Booth
Also check https://link.springer.com/article/10.1007/s11205-019-02247-0
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