The version from Chin's website (no. 1 in my earlier post) is definitely the correct one.

Keil et al's formula must be a mistake. (By the way, their own calculated values in the paper cannot be reproduced if you fill in the numbers in their formula... so much for A-rated journals ;)

Cheers,

Stefan

## Search found 54 matches

- Mon Jul 09, 2007 2:27 pm
- Forum: FAQ (Methodology)
- Topic: Multi-group comparisons with PLS
- Replies:
**59** - Views:
**51777**

- Wed Nov 22, 2006 12:43 am
- Forum: FAQ (Methodology)
- Topic: comparison of the fit of two models
- Replies:
**4** - Views:
**4174**

Dear Sandra, if I remember correctly, the goodness-of-fit index proposed by Tenenhaus goes something like this: GOF = sqrt(average(AVE)*average(Rsq)) where average(AVE) is the mean of all AVE values of all LVs and average(Rsq) is the mean of all Rsquare values of all endogeneous LVs. Thus, the GOF s...

- Fri Jul 21, 2006 1:23 pm
- Forum: FAQ (Methodology)
- Topic: Significances / Covariation / Weights /Quality Indicators
- Replies:
**13** - Views:
**10544**

Hi all, 1) regarding the one- or two-sided significance tests I would apply the same logic as in any test of the significance of correlation coefficients. If you already have an expectation regarding the sign of your coefficient (based on theoretical considerations), then use a one-sided test. If yo...

- Fri Jul 21, 2006 1:05 pm
- Forum: FAQ (Methodology)
- Topic: prediction using PLS
- Replies:
**1** - Views:
**1757**

Hi, I think that should work. The outer weight of your MV will tell you how much the independent LV will change if your MV moves by one std-dev. The regression coefficient will then allow you to calculate by how much your dependent LV should go up. However, if your independent LV is operationalized ...

- Mon Jul 03, 2006 4:54 pm
- Forum: FAQ (Methodology)
- Topic: Relective or Formative
- Replies:
**5** - Views:
**3855**

Here's an illustrative example for both types of measurement: Assume you would want to measure how drunk a particular person is. To do it reflectively , you could: - measure his/her blood alcohol level - observe how well he/she can still walk in a straight line - test his/her reaction time - etc. Al...

- Mon Jul 03, 2006 4:46 pm
- Forum: FAQ (Methodology)
- Topic: Changing the significance level
- Replies:
**2** - Views:
**2816**

Hi Aden et al. Sorry, but I'm not sure I fully understand your question(s). The bootstrapping procedure in SmartPLS produces t-values for many of the parameters/ estimates of your model (e.g., loadings, weights or path coefficients). These t-values are your raw input for running significance tests. ...

- Wed Jun 21, 2006 6:52 pm
- Forum: FAQ (Methodology)
- Topic: Interpretation of latent variable scores
- Replies:
**7** - Views:
**4347**

Hi Oliver, well, first of all, PLS doesn't really differentiate the way it calculates LV-scores for reflective or formative LVs. Both are simply a weighted sum of their MVs. Hence, no concern there. With regard to the sum of weights: The sum of all weights doesn't add up to 1 because PLS produces st...

- Tue Jun 20, 2006 11:11 pm
- Forum: FAQ (Methodology)
- Topic: Interpretation of latent variable scores
- Replies:
**7** - Views:
**4347**

Well... a source I don't have for you. It's just following the logic of the PLS algorithm. In a regular PLS run, MVs would first be standardized, before LV-scores are calculated based on the weights. This procedure results in standardized LV-scores, i.e. mean=0, stddev=1. Thus, in principle, I don't...

- Tue Jun 20, 2006 12:59 pm
- Forum: FAQ (Methodology)
- Topic: Missing values
- Replies:
**3** - Views:
**2956**

I don't think smartPLS' algorithm would allow pair-wise deletion. The only way this could work is to use pair-wise deletion in SPSS/ SAS to calculate a correlation/ covariance matrix. Then feed this matrix into Lohmoeller's LVPLS, which is also freely available on the web, to calculate your model. A...

- Tue Jun 20, 2006 9:27 am
- Forum: FAQ (Methodology)
- Topic: Missing values
- Replies:
**3** - Views:
**2956**

- Sat Jun 17, 2006 6:59 pm
- Forum: Application of PLS
- Topic: Comparability of PLS resuts
- Replies:
**3** - Views:
**3825**

Torben, with your post we are entering the interesting world of multi-group comparisons in PLS. As you might already have suspected, simply comparing the two path coefficients doesn't tell you whether the observed differences are really significant (or just mere coincidence). You have several option...

- Sat Jun 17, 2006 6:27 pm
- Forum: FAQ (Methodology)
- Topic: Interpretation of latent variable scores
- Replies:
**7** - Views:
**4347**

Hi Oliver, you have to keep in mind that PLS works with standardized scores for the MVs and also produces standardized scores for the LVs. That is, each LV has a mean of 0 and a std-dev of 1 across all cases. That's why the observed ranges are not what you were expecting to find. To produce LV-estim...

- Thu Jun 01, 2006 1:49 pm
- Forum: FAQ (Methodology)
- Topic: Bootstraping and alpha significance
- Replies:
**2** - Views:
**2747**

- Wed May 24, 2006 12:25 pm
- Forum: FAQ (Methodology)
- Topic: Formula for calculating bootstrap t-value
- Replies:
**1** - Views:
**2013**

Dear Dr. Kidd, the formula for the t-values is as follows: t = beta / stdev_bootstrap(beta) You have to keep in mind that the standard deviation of the bootstrap estimates is equivalent to the standard error of the original parameter estimate. Thus, there is no need to divide by SQRT(1000). Hope thi...

- Mon Apr 24, 2006 12:47 pm
- Forum: FAQ (Methodology)
- Topic: Critical values for t
- Replies:
**4** - Views:
**4051**

Alistair, your degrees of freedom (df) for the student distribution are not derived from your sample size, but rather from the number of bootstrap runs. E.g., if you ran the bootstrap with 500 runs, your df would be 499. To determine the proper critical t-value, obviously you also need to consider w...