I am looking for guidance with interpreting results from an ordered logistic regression and related margins, as well as suggestions for more intuitive ways to report results (i.e. plot vs table).
The data come from an original survey in which respondents indicated how strongly they felt various emotions after reading a vignette. In this case, the emotion was "sadness," and the response options were "do not feel at all," "feel a little bit," and "feel strongly." The dependent variable "sadness" is coded 1, 2, 3 respectively. I have two binary independent variables of interest here: if the respondent is a gun owner and if they are white (both coded yes or no/1 or 0). I am interested in whether or not there is significant variation in how white vs non-white gun owners reacted with sadness to the vignette.
This is my code: ologit sadness i.white_2 i.ownguns_2 i.white_2#i.ownguns_2 `controls'and margins i.white_2 i.ownguns_2
Can someone help with interpreting these results (shown below)? I am struggling with the interaction in particular. Also, would a simple margins plot be the best way to visualize this, or would something else be better?
The data come from an original survey in which respondents indicated how strongly they felt various emotions after reading a vignette. In this case, the emotion was "sadness," and the response options were "do not feel at all," "feel a little bit," and "feel strongly." The dependent variable "sadness" is coded 1, 2, 3 respectively. I have two binary independent variables of interest here: if the respondent is a gun owner and if they are white (both coded yes or no/1 or 0). I am interested in whether or not there is significant variation in how white vs non-white gun owners reacted with sadness to the vignette.
This is my code: ologit sadness i.white_2 i.ownguns_2 i.white_2#i.ownguns_2 `controls'and margins i.white_2 i.ownguns_2
Can someone help with interpreting these results (shown below)? I am struggling with the interaction in particular. Also, would a simple margins plot be the best way to visualize this, or would something else be better?
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