http://spssx-discussion.165.s1.nabble.com/Entering-panel-data-cross-sectional-time-series-data-into-SPSS-for-regression-tp5716565p5716631.html
M,
I still do not see why you require a weighting scheme. If I were tasked to build and assess the fit of a path/causal model linking customer satisfaction (a unidimensional construct measured using multiple manifest variables?) to customer loyalty (a unidimensional construct measured using multiple manifest variables?), and I was concerned about gender differences, I would assess model fit for females, and test for model equivalence on data collected from males.
I rarely use weights. The last time I applied weights was in an attempt to equalize non-randomized groups (hoping that the variables, e.g., gender, could NOT predict the condition to which they were assigned), so I'm not the best person to address your concern.
I can appreciate how large national surveys apply weights to ensure that the rates (whatever they may be) are based on a sample that is representative of the larger population. Having said that, I am NOT a survey methodologist, and so my understanding of such methods is admittedly superficial.
At any rate, back to your model, I would be concerned that my causal model is equivalent across client populations, leading me to the approach suggested previously.
Finally, yes, perhaps spending/transactions should be incorporated into the model, but I would take a different tact given the lens through which I view model building and testing in structural equation modeling.
Perhaps someone with more experience with applying weights in structural equation models can chime in at this point.
Ryan
Hi Ryan,
I am building customer satisfaction>loyalty model on attitudinal factors. Unfortunately we have to work with client data which is skewed towards females, incorrectly (data capture issue).
Additionally, we also have to weight the data by spend variable from transaction data. I tried AMOS manual and user guide but could not find any reference on how to do this.
M
On 2012-12-03, at 9:48 PM, R B wrote:
Manmit,
What type of model are you fitting, and for what purpose? Are you certain you want to weight cases based on the population distribution? Often, within a structural equation modeling framework, one wants to demonstrate specific type(s) of equivalence (factorial, latent means, causal structures) depending on the model and intent, across populations of interest (e.g., males versus females).
Ryan
On Mon, Dec 3, 2012 at 8:50 PM, MR
<[hidden email]> wrote:
Hi Team,
I have simple query but it is turning out to be very complex for me. I am using AMOS to run SEM model.
Issue: I want to apply gender weight as my data is not aligned with population distribution.
Model: AMOS Structural Equation modeling
Variable: Gender weight - male 1.3; female .7.
In AMOS there is no place where I can use case weights. I realize I need to generate covariance matrix but how would i do it based on just one weight variable? Are there any other alternatives?
Any help is greatly appreciated.
Manmit
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