I am using ordered logit regression with interaction term for my dissertation, however I am new at this and would like some help interpreting the results.
My results are from a survey.
My dependent variable is DGoodIdea 9B, which is the change in belief about whether it is a good idea, where 1 is negative change, 2 is no change and 3 is positive change.
Frame is 0,1 where 0 is they received the loss frame and 1 is they received the gain frame.
LengthLONG is 0,1 where 0 is working for a short time at the company and 1 is working for a long time at the company.
Gender is 0,1 where 0 is male and 1 is female.
My hypothesis: the longer the people have been with their current company, the less susceptible they are to the frame changing their minds.
I need help on how to interpret the two significant results? Thank you!
My results are from a survey.
My dependent variable is DGoodIdea 9B, which is the change in belief about whether it is a good idea, where 1 is negative change, 2 is no change and 3 is positive change.
Frame is 0,1 where 0 is they received the loss frame and 1 is they received the gain frame.
LengthLONG is 0,1 where 0 is working for a short time at the company and 1 is working for a long time at the company.
Gender is 0,1 where 0 is male and 1 is female.
My hypothesis: the longer the people have been with their current company, the less susceptible they are to the frame changing their minds.
I need help on how to interpret the two significant results? Thank you!
Code:
ologit DGoodIdea9B i.Frame#i. LengthLONG i.Gender, or
Iteration 0: log likelihood = -565.18388
Iteration 1: log likelihood = -559.38126
Iteration 2: log likelihood = -559.36882
Iteration 3: log likelihood = -559.36882
Ordered logistic regression Number of obs = 564
LR chi2(4) = 11.63
Prob > chi2 = 0.0203
Log likelihood = -559.36882 Pseudo R2 = 0.0103
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DGoodIdea9B | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
-----------------+----------------------------------------------------------------
Frame#LengthLONG |
0 1 | 1.345841 .3044854 1.31 0.189 .8638065 2.096868
1 0 | 2.049425 .5006418 2.94 0.003 1.269689 3.308012
1 1 | 1.769977 .4059233 2.49 0.013 1.129158 2.774474
|
1.Gender | 1.181873 .192872 1.02 0.306 .8583451 1.627346
-----------------+----------------------------------------------------------------
/cut1 | -1.26181 .1966678 -1.647271 -.8763479
/cut2 | 1.115826 .1940876 .7354211 1.49623
----------------------------------------------------------------------------------
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