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bootstrapping is enough to test causal effects

Posted: Tue Apr 07, 2020 7:05 am
by Hong Nguyen
Dear,
Could you please explain how should I test causal effects in the following model:
(1) A, B, C, and D influence on X, Y.
(2) X, Y influence on M.
In bootstrapping, although the paths are significant, may I conclude that A, B, C, and D lead to X and Y, or that A, B, C, and D have associations with X and Y?
The results create a question of causality in the model; it is conceivable that M leads to X and Y, or that X and Y may lead to A, B, C, D? Should I do any steps to conclude that (1) A, B, C, and D lead to X, Y, and (2) X and Y lead to M?

Re: bootstrapping is enough to test causal effects

Posted: Wed Jul 29, 2020 4:58 am
by KobyRudall
If you are interested in starting your own company then bootstrapping is the best idea for you to make a start so that you can't waste money. Many companies are serving those people who are trying to fulfil their dreams and research paper writing services are one of these companies who sell their services to beginners who wish to find a place where they can learn all skills to make them professional.