Is >0.5 / >0.6 loading factor acceptable??
Is 0.1 Significance Level on Bootstrapping acceptable?
and can anyone help me by providing the references? i tried finding the reference and can't seem to find it.
Thank you Before
SmartPLS basics
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Re: SmartPLS basics
You may want to read the Primer on PLS-SEM to get a basic understanding of the method and evaluation:
https://www.smartpls.com/documentation/ ... s-sem-book
https://www.smartpls.com/documentation/ ... s-sem-book
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
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Re: SmartPLS basics
Dear researchers,
Is it acceptable to remove an item with highest standardized factor loading among other items?
" A variables in my study consists of 6 items where the factor loadings showed first 5 items got similar values of factor lodings ( 0.5-0.6) but one item (let say :ABC1 )extremely higher than other items ( above 0.88). In assessing reliability, CR and AVE's values are NOT in the acceptable range. Thus., based on recommendations, I have tried to remove the items with low values ( less than 0.5 then 0.6), but CR and AVE's values were the same.
Surprisingly, when I deleted only ABC1 ( which got highest factor loadings between items in initial step), the values of other items increased and the AVE and CR values are exceeded the acceptable level."
Is it acceptable to remove an item with highest standardized factor loading among other items?
" A variables in my study consists of 6 items where the factor loadings showed first 5 items got similar values of factor lodings ( 0.5-0.6) but one item (let say :ABC1 )extremely higher than other items ( above 0.88). In assessing reliability, CR and AVE's values are NOT in the acceptable range. Thus., based on recommendations, I have tried to remove the items with low values ( less than 0.5 then 0.6), but CR and AVE's values were the same.
Surprisingly, when I deleted only ABC1 ( which got highest factor loadings between items in initial step), the values of other items increased and the AVE and CR values are exceeded the acceptable level."
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- SmartPLS Developer
- Posts: 1284
- Joined: Tue Mar 28, 2006 11:09 am
- Real name and title: Dr. Jan-Michael Becker
Re: SmartPLS basics
This would be a quite unusual practice, but you may also have good theoretical arguments. If a question does not fit to the other questions, you might see such behavior. If you can now argue that the questions (theoretically) also is the one that fits the least to the construct (based on your constructs' definition) you may use the empirical fining as a support for your argument. However, if the item fit very well to the definition and the other not, then you might make a big mistake by deleting that item and retaining the others.
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de