Then,
1)How can I calculate P values by using original sample, sample mean, standard deviation, and t statistics?
2) How can I calculate Confidence Interval of 97.5% the values of which are "n/a" as you can see below
Search found 9 matches
- Tue Jun 05, 2018 2:47 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: Original Sample(O), Sample Mean(M), Standard Deviation(STDEV)
- Replies: 3
- Views: 19800
- Mon Jun 04, 2018 2:33 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: MGA -Singular Matrix error
- Replies: 1
- Views: 12386
MGA -Singular Matrix error
Hi. I have 8 latent variables and 8 control variables. In terms of the control variables, I have 4 categorical variables including gender, chatting experience, etc. So I transformed these to dummy variables. In result, 4 dummies ware made. When I used standard bootstrapping(5000 times), I can get t ...
- Thu May 31, 2018 1:16 pm
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: Original Sample(O), Sample Mean(M), Standard Deviation(STDEV)
- Replies: 3
- Views: 19800
Original Sample(O), Sample Mean(M), Standard Deviation(STDEV)
Hi. When I use standard bootstrapping, 'Original Sample(O)', 'Sample Mean(M)' and 'Standard Deviation(STDEV)' are given. What does 'Original Sample' mean by? I think 'Sample mean' is the results from all resamples in the bootstrap procedure and 'STDEV' is the results from all resamples in the bootst...
- Mon May 28, 2018 2:19 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: GC Overhead limit exceeded error
- Replies: 4
- Views: 12814
Re: GC Overhead limit exceeded error
Generally, I would say that there shouldn't be a problem, but it could be something specific with you data and model. Could you please send you data and model to our support: http://support.smartpls.com/ They will investigate the problem. Ok. I am very thankful for your quick reply. Best wishes. KI...
- Sat May 26, 2018 4:17 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: GC Overhead limit exceeded error
- Replies: 4
- Views: 12814
Re: GC Overhead limit exceeded error
How many observations do you have? Do you only estimate the algorithm or the bootstrapping of the algorithm? Did you correctly transform categorical into dummy by leaving the reference category out (i.e., if you have 4 categories you have 3 dummies)? I have 307 samples. The total number of indicato...
- Fri May 25, 2018 2:50 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: GC Overhead limit exceeded error
- Replies: 4
- Views: 12814
GC Overhead limit exceeded error
Hi. My model has 8 latent variables and 12 control variables. The control variables are 8 categorical and 4 continuous. I transformed the categorical control variable to dummy variables. In result, 22 dummy variables are generated. So, the number of control variables is 26.(22dummy variables + 4 con...
- Thu May 17, 2018 12:47 pm
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: Singular Matrix Problem
- Replies: 2
- Views: 15013
Singular Matrix Problem
Hi. When I add control variables, Singular Matrix Problem occurred. Each control variables are categorical variable. So I transformed all of them to dummy variable. My sample size is 307. The number of control variable is 12 which are demographic variables(age, income, etc) and use experiences(watch...
- Wed May 16, 2018 1:55 am
- Forum: Method and application
- Topic: PLS Algorithm vs PLSc Algorithm LVscores issue
- Replies: 4
- Views: 14914
PLS Algorithm vs PLSc Algorithm LVscores issue
hi. when I use PLS Algorithm, the results show up Latent Variable scores. On the other hand, when I use PLSc Algorithm, Latent Variable scores is not shown in smartpls3. I can only see Latent variable correlations and covariances. May I ask why this kind of situation happen? If I want Latent variabl...
- Tue May 15, 2018 2:25 am
- Forum: SmartPLS 3 - Small Talk Corner
- Topic: reflective-reflective second order construct
- Replies: 6
- Views: 18438
reflective-reflective second order construct
Hi. SmartPLS community. My model has reflective-reflective 2nd order construct. I want to use two-step approach as my key reference did. So I drew model including only first order model to get Latent variable scores. But I can't find where LV scores is in smartpls3. When I use smartpls2, I found LV ...