tag:blogger.com,1999:blog-2982097637919684815.post7155145173599110711..comments2024-03-14T11:10:39.358-07:00Comments on WarpPLS: How do I control for the effects of one or more demographic variables in an SEM analysis?Ned Kockhttp://www.blogger.com/profile/02755560885749335053noreply@blogger.comBlogger42125tag:blogger.com,1999:blog-2982097637919684815.post-34911898757295151102021-10-19T06:11:11.423-07:002021-10-19T06:11:11.423-07:00Dummy coding with more than 2 categories is likely...Dummy coding with more than 2 categories is likely to lead to biases, and often those can be significant. Have you considered entering the variables into WarpPLS as data labels and then use anchor-factorial with variation sharing cat2num conversions?Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-1996240194538653472021-10-16T09:34:45.522-07:002021-10-16T09:34:45.522-07:00Dear Professor,
Thank you for your good work! I h...Dear Professor,<br /><br />Thank you for your good work! I have been using warp pls for my analysis and I love it because its user friendly. I would like to know if I have been doing it right or wrong. I just finished watching a video titled "Explore categorical-to-numeric conversion in warppls" on youtube but I realized my situation is a bit different. Below is an explanation of what I have done. Kindly let me know if I have done it wrongly.<br /><br />So my IV has three levels: IV1, IV2 and IV3. They are different scenarios presented to respondents to read after which behavioural questions were given to them to answer. The IVs were converted to dummy in excel before importing to warppls software. IV1 is the base and basically just want to see how IV2 and IV 3 compares to IV1. IV2 column in excel sheet has 0 if respondents were not exposed to IV2 scenario in the study but has 1 if they were exposed to IV2 scenraio (random assignment was done). I did the same for the IV3 dummy column. So in warppls model, I specified two IVs, basically IV2 and IV3 and linked them to mediators. Also, I have three moderators that are also dummy(variable is consumer segment and there are three consumer segments). I also created two dummy variables as I did with the IV. Then, linked them to the link between IV and mediators. The mediators and DV were measured with likert scale. Did I do this correctly or I did something wrong? Thank you!<br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-36808588825980880492021-01-09T06:38:06.451-08:002021-01-09T06:38:06.451-08:00Hi Professor Ned,
Thanks for the response, I'...Hi Professor Ned,<br /><br />Thanks for the response, I've sent the detail via LinkedIn message 🙏😊https://www.blogger.com/profile/18431974583954671207noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-28909594299767490722021-01-08T11:33:35.611-08:002021-01-08T11:33:35.611-08:00Hi Jessica.
Thanks for your kind words.
Is this ...Hi Jessica.<br /><br />Thanks for your kind words.<br /><br />Is this a PhD thesis?<br /><br />Do you have a committee?Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-10218152460553944472021-01-06T11:28:58.655-08:002021-01-06T11:28:58.655-08:00Hi Professor Ned,
Nice to know about you.
I'...Hi Professor Ned,<br /><br />Nice to know about you.<br /><br />I'm Jessica from Indonesia, just now I also add your LinkedIn.<br />I'm very enthusiastic about the articles that you share.<br /><br />I'm currently writing my thesis (target to pass this year) and studying data analysis techniques using WarpPLS.<br /><br />Regarding to your article, what method of analysis is appropriate to use in WarpPLS 7.0 if my research is moderated using demographic variables (age, gender, education, marital status)?<br /><br />or, is it better to make each of them like this?<br />- Age: 1 = 18-25 y.o; 2 = 26-35 y.o; 3 = 36-45 y.o; 4 = 46-55 y.o.<br />- Gender: 1 = Male; 2 = Female.<br />- Education: 1 = SeniorHighSchool; 2 = Diploma; 3 = Bachelor'sDegree; 4 = Master'sDegree.<br />- MaritalStatus: 1 = Single; 2 = Married.<br /><br />Please advice.<br />Hope to hear from you soon.<br /><br />Thank you.<br /><br />Warm Regards,<br />Jessica Angela😊https://www.blogger.com/profile/18431974583954671207noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-67481199128892412602020-05-26T04:41:48.498-07:002020-05-26T04:41:48.498-07:00Hi Sophie. Have you considered using cat-2-num con...Hi Sophie. Have you considered using cat-2-num conversion?Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-77432426556328670962020-05-25T15:24:27.112-07:002020-05-25T15:24:27.112-07:00Hello sir Kock,
I have a question about conductin...Hello sir Kock,<br /><br />I have a question about conducting a multi-group analysis. I have an indepenten variable that is divided into two groups. Group 0 = respondents that have seen video 1 and group 1 = respondents that have seen video 2. My dependent variables are 1) affective assessment, 2) cognitive assessment and 3) intention to take action. I also have a possible moderator for these three relationships: social group involvement. Now, I would like to test all these relationships, but I would like to compare these relationships for group 1 and group 2. Because I expect a difference in the assessments of these groups. How do i do this? I already added two columns in my Excel file where I gave all the respondents that saw video 1 a '1' en the respondents who did not a '0'. I did the same for respondents who saw video 2, in te second column. But when I did the SEM-analysis (first for video 1 and then for video 2) my two models appear to be almost exactly the same? The only difference is that some relationships have a negative number in the first analysis and a positive in the second (or vice versa). But the effect sizes and p-values are all the same? Please help me. I can not find a YouTube video who explains this well. Hope to hear from you soon!Sophiehttps://www.blogger.com/profile/11085012560996610559noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-37755875111138089002016-11-23T11:08:21.419-08:002016-11-23T11:08:21.419-08:00Usually when one converts cat. to num. the resulti...Usually when one converts cat. to num. the resulting num. variable is non-normal, sometimes severely non-normal. This can be checked through the normality test outputs provided by WarpPLS. The justification for the use of WarpPLS in these contexts is that it performs well with non-normal data, including severely non-normal data:<br /><br />http://warppls.blogspot.com/2016/06/pls-sem-performance-with-non-normal-data.html<br />Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-76192360809500862862016-11-22T09:58:30.829-08:002016-11-22T09:58:30.829-08:00Hi again!
My question is how to justify that the c...Hi again!<br />My question is how to justify that the conversion from categorical to numeric variable can be made.<br />Should the justification be made with the Central Limit Theory?Anonymoushttps://www.blogger.com/profile/02480988665962732282noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-15729825808820006582016-11-21T07:01:04.456-08:002016-11-21T07:01:04.456-08:00Hi Pedro, again. A categorical variable would have...Hi Pedro, again. A categorical variable would have to be converted to numeric to be included in WarpPLS analyses. I am not sure I understand your other question.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-17333937303966117262016-11-16T08:14:15.021-08:002016-11-16T08:14:15.021-08:00Dear Kock,
I meant that gender is also one of the ...Dear Kock,<br />I meant that gender is also one of the variables, but it is indeed a independent variable (exogenous) in the model, not a dependent, as I said earlier. <br />Nevertheless, it must still be converted to numeric, right? And is it enought to use the central limit teorem to justify that gender can be seen as continous, once my sample is over 1000 observations?<br />Thank you!Anonymoushttps://www.blogger.com/profile/02480988665962732282noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-62738774995586685892016-11-16T07:12:25.877-08:002016-11-16T07:12:25.877-08:00Hi Pedro. To be included in WarpPLS analyses, cate...Hi Pedro. To be included in WarpPLS analyses, categorical variables must be converted to numeric. On a different note, I wonder how gender can be an endogenous variable. Do you mean to say that, in your model, gender is caused by one or more variables? If your model is not a biological model of gender development, or something like that, it is difficult for me to see the possibility of gender being an effect.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-68031717072406762642016-11-15T06:11:04.419-08:002016-11-15T06:11:04.419-08:00Dear Professor Kock,
Thank you for your explanati...Dear Professor Kock,<br /><br />Thank you for your explanations!<br /><br />I am performing a path analysis to analyse Intention to Innovate regarding some continous variables, but gender is also one of the dependent variables (it is not a control variable, as the theory behind it takes gender into consideration).<br />Is it the case of including gender as a numerical variable too? <br />I could not find much on this subject in the literature.<br /><br />Thank you!<br />Best regards, PedroAnonymoushttps://www.blogger.com/profile/02480988665962732282noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-58294743612384071012015-01-22T07:05:51.437-08:002015-01-22T07:05:51.437-08:00The orthog. approach (OA) entails re-scaling score...The orthog. approach (OA) entails re-scaling scores so that the moderating variable is uncorrelated with the variables involved in the moderation. This is a bit problematic because scores are more often than not correlated, and those correlations are accounted for by multivariate adjustments. <br /><br /> With WarpPLS, the product-indicator and the two-stage approaches can be implemented, both of which allow for correlations and perform multivariate adjustments. <br /><br /> Please note that the new factor-based algorithms can make a difference in the estimation of moderating effects. See the video linked below.<br /><br /> http://youtu.be/PvXuD5COezU<br /><br /> A new feature planned for the future is a growth analysis, which should help in the identification of moderating effects.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-82188359510121334772015-01-21T07:02:52.523-08:002015-01-21T07:02:52.523-08:00Hi
The new SmartPLS 3 software (http://www.smartp...Hi<br /><br />The new SmartPLS 3 software (<a rel="nofollow">http://www.smartpls.com</a>) offers extended modeling options of moderator variables. <br /><br />Do you know how the orthogonalizing approach works? Is it advantageous compared to the product-indicator and two-stage approach. <br /><br />Thanks and kind regards,<br />TomAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-21750353010573452712014-11-10T05:12:38.030-08:002014-11-10T05:12:38.030-08:00Hi Anon. The following links may be useful:
http:...Hi Anon. The following links may be useful:<br /><br />http://youtu.be/d8j-OOPHMFk<br /><br />http://warppls.blogspot.com/2010/02/how-do-i-control-for-effects-of-one-or.htmlNed Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-79546925766203703982014-11-07T05:16:04.112-08:002014-11-07T05:16:04.112-08:00Thanks prof for the prompt response. How then shou...Thanks prof for the prompt response. How then should I use gender as a moderator in WarpPLS?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-32103322842039939982014-11-06T05:13:52.610-08:002014-11-06T05:13:52.610-08:00Gender is not usually measured through multiple in...Gender is not usually measured through multiple indicators.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-14276515986308661652014-11-06T04:04:15.847-08:002014-11-06T04:04:15.847-08:00Hi prof Kock! How do I treat gender (a moderator )...Hi prof Kock! How do I treat gender (a moderator ): reflective or formative?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-81020432611316357572014-05-22T04:02:06.581-07:002014-05-22T04:02:06.581-07:00Hi professor Kock,
I don't have a path-correl...Hi professor Kock,<br /><br />I don't have a path-correlation ratio.. But if it is below 0.2,it would be insignificant. If the case is GENDER -> Attachment = 0.3..<br /><br />Would it then be possible to say that female are more attached than men then?<br /><br />Thank you so much!Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-59434957065821848852014-05-21T11:00:47.042-07:002014-05-21T11:00:47.042-07:00The path coefficient for the link seems too low to...The path coefficient for the link seems too low to be significant. What is the path-correlation ratio for the link?Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-16460946841897343632014-05-20T12:58:12.321-07:002014-05-20T12:58:12.321-07:00Hi professor Kock,
From my analyses: the path coe...Hi professor Kock,<br /><br />From my analyses: the path coefficient from GENDER -> Attachment = 0.0143..<br /><br />Hence the effect size of gender is 0.0413. But can I say that female are more attached than men then? <br /><br />Thank you so much!!Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-71795451671434274402014-05-20T12:17:58.831-07:002014-05-20T12:17:58.831-07:00Hi Hayden. The variation of G, going from 1 or 2.Hi Hayden. The variation of G, going from 1 or 2.Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-9842157968230472492014-05-20T11:51:53.006-07:002014-05-20T11:51:53.006-07:00Dear professor Kock,
What exactly do you mean wit...Dear professor Kock,<br /><br />What exactly do you mean with degree of femaleness"?<br /><br />Regards HaydenAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-45942344590762197192014-03-11T07:10:28.435-07:002014-03-11T07:10:28.435-07:00I restrict my answers to WarpPLS, as there are oth...I restrict my answers to WarpPLS, as there are others with expertise in SmartPLS that are better positioned to answer questions regarding that software. <br /><br />Those would probably be found in SmartPLS-related forums, not this one. This blog is, as the name implies, focused on WarpPLS - the name of this blog is "WarpPLS". Ned Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.com