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Given the way theoretical reliability and validity are defined, it's mathematically impossible for a validity coefficient to be greater than the reliability. A formal proof of this statement can be found in Chapter 3, Section 3.9 of Lord & Novick's Statistical Theories of Mental Test Scores...
2. CFA - Chi Square and SRMR - Fit Indices

Mostly yes. The computation of the (sample) TLI could be negative and it essentially implies that the independence model (i.e., the model where all correlations are assumed to be 0) fits the data better than the model you propose. So, yes, it does imply that your model is really bad because it...
3. CFA - Chi Square and SRMR - Fit Indices

Yeah, this is definitely a bad model. What's considered an "acceptable" model means RMSEA < 0.06 and CFI >0.90 as per the Hu & Bentler (1999) criteria. There's also the issue of your sample size which Barrett (2006) commented on:
4. CFA - Chi Square and SRMR - Fit Indices

What are the values of the RMSEA and the CFI? And what estimation method did you use?
5. Messaging apps

Whatsapp! The world's most popular messaging app! I don't get why it isn't so popular in North America!
6. Correlation to ratio of two variables from individual correlation.

If we know Corr(1/a, 1/(a+b)), Corr(1/a, (1/(1-(b/a))) and Corr(1/(a+b), (1/(1-(b/a))) we can work something out. Nevertheless, preliminary simulations show me that these various correlations are very, very, VERY close to 0 even if cor(a,b)=0.9999. If the OP can safely assume them to be 0, we...
7. Valid use of regression

My posts are infinite and eternal. They can't be deleted. They only transform.
8. hypothesis testing: proportions with 3 samples

And how exactly do you account for sampling error if you only offer descriptives?
9. relationship between correlation and average

After reading your post it made realize that the problem, as I posted it, is ill-conceived and allows for a variety of trivial solutions. For instance, take two standard normal random variables and add a positive constant (say 2 for argument's sake). They are both positively correlated and one...
10. relationship between correlation and average

Ok, I'll bite now because this thread is starting to get interesting. For a bivariate distribution (let's keep it simple), under which assumptions might one be able to claim that a positive correlation implies a larger mean in one marginal than the other? The bivariate normal is obviously out...
11. Linear regression heteroscedasticity

This is a good article with examples and solutions to use in R and SPSS: https://scholarworks.umass.edu/pare/vol24/iss1/1/

13. What is the difference between Principal Component Factor (PCF), Factor Analysis (FA) and Principal Component Analysis (PCA)?

Can you point on where in the STATA documentation they describe these models? I recognize a few but (with the exception of PCA) those acronyms are meaningless to anyone who doesn't use STATA. We need to know how STATA defines the models to tell the difference.
14. Hayes Process V3.3 Model 89 in SPSS V25

Mediation models like yours are very, VERY specific to subfields within the social sciences. It's usually hard to get help for those models unless you work with someone who specializes on them because almost nobody outside of those subfields uses them or is familiar with them. Have you tried to...
15. Appropriateness of using ANOVA on PC-scores (PCA)

The most immediate reason of why this is a suboptimal approach is because your PCA scores are estimated from the data. These are datapoints that you didn't collect and observe so by treating them as just another collection of data points you underestimate the true uncertainty associated with...
16. fed2

Thanks for being a part of our little corner of the internet and welcome!
17. NA

I think this could be of assistance
18. The Lights of Heavens

Well, it is difficult to make a claim as general as "The stars, planets and constellations were given much the same names and meanings by different civilizations over 5000 years ago." and not be incorrect in a few instances. A dramatic example might be in how Lucifer became associated with...
19. Daughter needs stats help on two questions for college and I have no clue what to do...

This seems very relevant to your question.
20. Long live SAS

SPSS is the worst. Ever since it started shifting its focus away from the social sciences and into data science, it has become insufferable.