I have a question about the interpretation of my results, regarding a moderator in an ologit regression.
My IV is 'green attitude', my DV is 'greenbuying' and my moderator is 'ecolabel trust'. Control variables are age and gender.
anew=attitude (towards green products), and can be:
- zero
- low
- medium
- high
gnew= greenbuying (how often you buy green products), and can be:
-1 - never
-2
-3
-4
-5
-6 - every day
tnew=ecolabel trust, and can be:
- zero
- low
- medium
- high
My regression results are:
Code:
. ologit gnew tnew##anew age i.gender Iteration 0: log likelihood = -28944.057 Iteration 1: log likelihood = -27348.317 Iteration 2: log likelihood = -27259.086 Iteration 3: log likelihood = -27251.011 Iteration 4: log likelihood = -27251.01 Ordered logistic regression Number of obs = 24,623 LR chi2(17) = 3386.09 Prob > chi2 = 0.0000 Log likelihood = -27251.01 Pseudo R2 = 0.0585 ------------------------------------------------------------------------------ gnew | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- tnew | 2 | 1.052075 .2152138 4.89 0.000 .630264 1.473887 3 | 1.304467 .217954 5.99 0.000 .8772846 1.731649 4 | .8888412 .2646973 3.36 0.001 .370044 1.407638 | anew | 2 | 1.321674 .2067314 6.39 0.000 .9164875 1.72686 3 | 2.480465 .1951027 12.71 0.000 2.098071 2.862859 4 | 2.955394 .1982461 14.91 0.000 2.566839 3.343949 | tnew#anew | low low | -.4183916 .251595 -1.66 0.096 -.9115087 .0747256 low med | -.5871072 .2375724 -2.47 0.013 -1.052741 -.1214739 low high | -.4778066 .2409796 -1.98 0.047 -.950118 -.0054952 med low | -.3663611 .2526495 -1.45 0.147 -.8615449 .1288228 med med | -.5181469 .2386876 -2.17 0.030 -.9859659 -.0503279 med high | -.2446669 .2413479 -1.01 0.311 -.7177002 .2283663 high low | .0376205 .3112913 0.12 0.904 -.5724993 .6477403 high med | -.0507737 .286457 -0.18 0.859 -.612219 .5106716 high high | .2414048 .2865594 0.84 0.400 -.3202413 .8030509 | age | .0080733 .0007564 10.67 0.000 .0065907 .0095559 | gender | Female | .0491804 .0256802 1.92 0.055 -.0011519 .0995128 -------------+---------------------------------------------------------------- /cut1 | .1818974 .1740457 -.1592259 .5230208 /cut2 | .5712073 .1741778 .2298251 .9125895 /cut3 | 1.381783 .1747356 1.039307 1.724258 /cut4 | 1.808177 .174998 1.465188 2.151167 /cut5 | 4.742743 .1766713 4.396473 5.089012 ------------------------------------------------------------------------------
My current interpretation is this:
The coefficient of low trust X med attitude is negative and significant at the 5% level. This entails that med attitude has a stronger negative effect on green buying when trust is low compared to when trust is zero.
Is this correct?
Should I form three hypotheses to test for this moderator?
1. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact not very important (attitude = low)
2. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact fairly important (attitude = med)
3. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact very important (attitude = high)
Is it correct that I need 3 seperate hypotheses as attitude can have 4 values?
It would greatly help me if someone can tell me if I am on the right track! I am struggling a bit with moderation in combination with an ologit regression and two categorical variables as I've never done this before. Any help is greatly appreciated!
Kind regards,
Joris
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