I am using Age, Gender and Education as control variables in AMOS. However the results indicate the relationship and its significant. I wish to examine the impact of male vs female, young vs. older consumers. Please suggest if I can examine this in AMOS or should I have to move to SPSS for pair-wise comparison?
greetings
you should use comparative models or t test with SPSS program. a model that can be used paired sample t test for paired samples 2 and 3, independent sample t test, as in Amos could not membedahkan comparison between gender, age and education.
You write "I wish to examine the impact of male vs female, young vs. older consumers."
The impact on what are you trying to model?
Dear Sah,
it is true you do not mention the impact on what? for example on the attitudes, behaviors and other. The impact on what are you trying to model?
You need to employ multi group SEM. Following videos will certainly help you in this regard:
https://www.youtube.com/watch?v=H4gHIs4y6sU
https://www.youtube.com/watch?v=WMRqspcst-o
https://www.youtube.com/watch?v=w5ikoIgTIc0
You can have multi group moderation in AMOS to check the moderating effect of group data on the SEM model.
Hi folks.
The question is: Do you want to estimate the "effects" of gender on one or several outcomes (that is, mean differences across the groups) or do you want to estimate the moderating effect of gender (that is, potential differences in effects of independent on dependent variables). If you want to do the first option, include the variable(s) as dummy variables in the model as in regular regression analysis. If you want to do the second option go for multi-group models.
Best,
Holger
Thank you all for your valuable inputs. I intended to estimate the impact of gender, age, demographic factors in intention. If you could give me on that. In AMOS we do get the significance lever proving an existence of the relationship however how gender is making an impact (male vs female) is yet to determine. Your kind suggestions are welcomed.
SAM Shah, I hope you would have done with your analysis. However, if you still on that, try Multi-group analysis for these categorical variables.
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