Sem pls

http://slideplayer.com/slide/6240241/

https://www.smartpls.com/documentation/learn-pls-sem-and-smartpls/pls-sem-compared-with-cbsem

Using excel to conduct t-test

https://www.youtube.com/watch?v=BlS11D2VL_U

https://www.scopus.com/  : SCOPUS - Document Search

https://www.elsevier.com/solutions/scopus/content  :

http://www.scimagojr.com/index.php  Scimago Journal & Country Rank for SCOPUS (SJR)

https://jcr.incites.thomsonreuters.com/  Web of Science - InCites Journal Citation Report

SAMPLE SIZE FOR WITHIN-SUBJECT EXPERIMENT

Good reading about  sample size
https://www.researchgate.net/post/What_is_the_minimum_sample_acceptable_for_structural_equation_modelling_using_AMOS

2nd order Smart PLS

SmartPLS Basic SEM Path Analysis

https://www.youtube.com/watch?v=6G9MfgImWCw

SmartPLS Formative 2nd order Constructs
https://www.youtube.com/watch?v=kPeUTKjMF7o

How to Finish Your PhD Thesis in 6 Months Even If You Have No Idea What To Write

https://www.youtube.com/watch?v=AYxFNzFCe54

Cleaning data set

Cleaning data set in SPSS
https://www.youtube.com/watch?v=Ik4Dyn8e8vA

Skewness and kurtosis
https://www.youtube.com/watch?v=w8-wf6lBh8M

Multivariate outlier (mahanalobis distance) SEM - AMOS
https://www.youtube.com/watch?v=0vtgynhkH60&feature=youtu.be

Model fit during a Confirmatory Factor Analysis (CFA) in AMO
This is a model fit exercise during a CFA in AMOS demonstrates how to build a good looking model, and then address model fit issues, including modification indices and standardized residual covariances.  also discuss briefly the thresholds for goodness of fit measures
https://www.youtube.com/watch?v=JkZGWUUjdLg

Outlier (mahanalobis distance)
SPSS
https://www.youtube.com/watch?v=WSflSmcNRFI

Plugin EFA and CFA data in amos 18
https://www.youtube.com/watch?v=sLtMOFcojZY

How to fix Amos error: “observed variable is represented by an ellipse in the path diagram”?

 http://stackoverflow.com/questions/19130917/how-to-fix-amos-error-observed-variable-is-represented-by-an-ellipse-in-the-pa

IBM Help discusses this error but isn't that helpful. In practice, I've seen this error come up a number of times. It can occur because you have incorrectly specified a variable as latent that you wanted to be observed. However, more commonly, it is the result of giving an inappropriate variable to a latent variable. Specifically, it is relatively easy to give a name to a latent factor that is the same as an observed variable in your data file. For example, one time I had some personality variables in a dataset and the extraversion items were called E1, E2, E3, and so on. These are common names for residuals. So when giving residuals these names, there was a conflict with the names in the data file. Another even more common cause is when you name a latent factor an appropriate name (e.g., selfesteem, extraversion, jobsatisfaction, etc.) and you have already created a scale score in your data file with the same name. This also causes the conflict. The basic solution is just to give the variable a latent variable a unique name that doesn't conflict with one in the data file. So for example, name the variable selfesteem_factor rather than selfesteem if you already have a variable called selfesteem Reverse coding in spss https://www.youtube.com/watch?v=IDK_u4l7vJI  (part 1)

https://www.youtube.com/watch?v=IkTvKf5nFsY (part 2)

Super easy to understand - reverse coding
https://www.youtube.com/watch?v=uzQ_522F2SM