tag:blogger.com,1999:blog-2982097637919684815.post5443131234223336816..comments2024-03-14T11:10:39.358-07:00Comments on WarpPLS: Why are pattern cross-loadings so low in WarpPLS?Ned Kockhttp://www.blogger.com/profile/02755560885749335053noreply@blogger.comBlogger11125tag:blogger.com,1999:blog-2982097637919684815.post-88566973696767685942019-07-01T07:53:36.769-07:002019-07-01T07:53:36.769-07:00Hi Anon. The answers to this and related issues ar...Hi Anon. The answers to this and related issues are available from page 70 (and subsequent pages) of the WarpPLS User Manual: Version 6.0. (link below). Best regards!<br /><br />https://www.scriptwarp.com/warppls/UserManual_v_6_0.pdfNed Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-42738420818237797322019-06-28T10:53:13.071-07:002019-06-28T10:53:13.071-07:00Hello,
I am just wondering if the correlation mat...Hello,<br /><br />I am just wondering if the correlation matrix is based on "the Pearson correlations", wouldn't this cause low loadings in case the relationships are non-linear?<br /> <br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-27204264050190255592011-04-08T07:28:36.868-07:002011-04-08T07:28:36.868-07:00Update:
From version 2.0 of WarpPLS on both rotat...Update:<br /><br />From version 2.0 of WarpPLS on both rotated and unrotated loadings are provided.<br /><br />This post was revised to reflect that.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-79166693811891185962010-06-14T08:34:59.763-07:002010-06-14T08:34:59.763-07:00Hi Fairview.
Averaging indicators usually leads t...Hi Fairview.<br /><br />Averaging indicators usually leads to values that are similar to those generated by WarpPLS if the indicators are highly correlated. You always lose some precision doing that though.<br /><br />If the indicators are not highly correlated, then there will be a large difference between the average and the LV score. This is particularly true if two (or more) of the indicators are negatively correlated.<br /><br />Another problem with the t test is that it is fundamentally a parametric test. Yes, you can set the t test algorithm to correct for heteroscedasticity. But that is not the same thing as using a "robust statistics" approach as WarpPLS does.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-47525485430649148212010-06-14T07:16:58.035-07:002010-06-14T07:16:58.035-07:00Hi Ned,
Thanks a lot! It's so nice to get som...Hi Ned,<br /><br />Thanks a lot! It's so nice to get some help finally.<br /><br />Before I try out your suggested method, I'd like to ask if the method that I mentioned - "calculate a mean for each case for 3 measurement indicators first and then use the resulting means for t-test" is wrong or not.<br /><br />Your help is much appreciated! Will now go try out your suggested method.<br /><br />FairviewUnknownhttps://www.blogger.com/profile/15792837528915570730noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-15282073970894269812010-06-13T09:18:44.338-07:002010-06-13T09:18:44.338-07:00There is a much better way of doing that test, wit...There is a much better way of doing that test, with WarpPLS:<br /><br />- Create a dummy variable (G) with numbers associated with each of the two groups - e.g., 0 for one group, and 1 for the other group. This dummy variable should be implemented as a LV with 1 indicator.<br /><br />- Define your dependent (or criterion) construct (T) as you would normally do; in this case, I think that would be as a reflective LV with 3 indicators.<br /><br />- Create a link between G and T, with G pointing at T.<br /><br />- Estimate the model parameters with WarpPLS; this will calculate the beta and P values for the link. The P value is analogous to the P value you would obtain with a t test.<br /><br />This type of WarpPLS test has a number of advantages over a standard t test or a one-way ANOVA test (which are essentially the same thing). For example, it allows for the use of LVs as dependent variables, and it is a robust test (which does not require normality).Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-14001778483508271082010-06-12T09:30:40.769-07:002010-06-12T09:30:40.769-07:00Hi Ned,
Thanks a lot for your explanation. I unde...Hi Ned,<br /><br />Thanks a lot for your explanation. I understand now.<br /><br />May I seek your advice on a side issue on Statistics that is bothering me?<br /><br />There is 1 construct in my research model that i want to compare using Independent Sample Means t-test in SPSS. There are 2 groups of cases. The construct (T) has 3 measurement indicators. I tried running the t-test, but what it did was to compare each indicator one by one across 2 groups of case. What should I do? Should I calculate a mean for each case for 3 measurement indicators first and then use the resulting means for t-test?<br /><br />Your help is very much appreciated.<br /><br />thanks!<br /><br />FairviewUnknownhttps://www.blogger.com/profile/15792837528915570730noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-43877104926100335372010-06-08T07:02:34.496-07:002010-06-08T07:02:34.496-07:00Hi Fairview.
WarpPLS only provides rotated loadin...Hi Fairview.<br /><br />WarpPLS only provides rotated loadings. These are the most meaningful numbers of indicator-to-LV instrument assessment. Actually, some argue that unrotated loadings are not appropriate for that assessment.<br /><br />Having said that, I suspect that the loadings you are getting from other software are simply the bivariate correlations between the LV score and the indicators.<br /><br />Since WarpPLS generates LV scores, it should be easy to calculate those bivariate correlations, even with Excel.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-25748568426121237322010-06-08T06:54:41.935-07:002010-06-08T06:54:41.935-07:00Hi Ned,
Thanks a lot for your reply.
The results...Hi Ned,<br /><br />Thanks a lot for your reply.<br /><br />The results are not unexpected. It's just that most of the results are the same except the indicator loadings. Since I am trying to verify my research results using different PLS software, it would be helpful if WarpPLS could produce the same results as other software.<br /><br />Any chance that I could get the same indicator loadings by changing some settings of WarpPLS?<br /><br />Thanks again!<br /><br />FairviewUnknownhttps://www.blogger.com/profile/15792837528915570730noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-54337082835517087102010-06-05T06:59:36.685-07:002010-06-05T06:59:36.685-07:00Hi Fairview.
The loadings in WarpPLS are usually ...Hi Fairview.<br /><br />The loadings in WarpPLS are usually different because of the oblique rotation that is applied to the original loadings. This usually leads to loadings that are similar to the original values, and low cross-loadings.<br /><br />This is the way it generally should be anyway, for reflective LVs. It suggests good measurement instrument validity.<br /><br />Are you getting results that are unexpected?Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-89336976388710099522010-06-04T19:21:39.708-07:002010-06-04T19:21:39.708-07:00Hi Ned,
I am very glad that I have found your sof...Hi Ned,<br /><br />I am very glad that I have found your software. It is a piece of excellent work.<br /><br />I have tried to re-run my model on WarpPLS and compared the results from another PLS software with that from yours. Most of the results are similar, if not the same. However, when it comes to indicator loadings, they are quite different. Please enlighten me on the reasons. It's important for me to know as I am trying to compare the results. Should I change the resample size, algorithm, etc.?<br /><br />Thanks, ParkUnknownhttps://www.blogger.com/profile/15792837528915570730noreply@blogger.com