Using multiple imputation in AMOS to address missing data (new,2018)

[@lgassin]

Thank you so much for your videos! Nice to have an authoritative voice who also is an effective online teacher!

[@turkmura81]

Dr. Crowson's videos and powerpoints are the best! It is impossible not to learn from them. Thank you, Dr. Crowson!

[@ЮлияМузыченко-х5п]

Dear Professor Crowson, thank you for the video, could you kindly advise how to deal with CFA if I want to apply MI?

[@linebjrklund2978]

Thanks for the video! Is there any way to estimate the pooled variance and pooled model fit?

[@karolinkrosta8178]

Thanks for this Video! My question is: Is there a possibility to not only 'combine' the estimated paths (like you showed via excel) but to somehow get 'combined' modell-fit-indices?

[@clivechifamba179]

I performed the analysis using FIML, but the problem is- even if my variables are nominal, the imputed data converts the data into continuous, while maintaining the measure status.
For example:
In original- Strongly disagree is 1; disagree is 2; somewhat disagree is 3;
In imputed- Strongly disagree is 1.5; disagree is 2,3; somewhat disagree is 3.5;
Does anyone know how to fix this issue?

[@barrydecicco1181]

Thank you, Mike!

[@luisluiscunha]

Thank you very much! This is very helpful and informative. You had a lot of work there. Your effort is very appreciated. Also, thank you for all the links. Karma and Kudos to you, 😊

[@mikecrowson2462]

You are very welcome Luis! Have a great day!

[@ethanlantz6553]

Why can't you save it in a single file?

[@calebterrelorellana2478]

Fantastic! thank you!

[@jk47cares82]

This is fantastic. #Bayesgod

[@mikecrowson2462]

Thanks for visiting! I'm glad you found this helpful! Happy New Year.