Search found 1032 matches

by jmbecker
Sun Sep 01, 2019 9:09 am
Forum: FAQ (Methodology)
Topic: f2 and q2
Replies: 1
Views: 36

Re: f2 and q2

First, I would try to replicate the finding with PLSPredict. It has a much better foundation than the Blindfolding which is a method developed in the 1980s. Second, it is generally possible if the factors with high explanatory power lead to overfitting. However, such consistency of inverse results w...
by jmbecker
Sun Sep 01, 2019 9:05 am
Forum: FAQ (Methodology)
Topic: Longitudinal and multi group studies
Replies: 4
Views: 78

Re: Longitudinal and multi group studies

If you have everything in one model you can test parameters in t1 vs. t2 with the following approach
Rodríguez-Entrena, M., Schuberth, F., & Gelhard, C. (2018). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality & quantity, 52(1), 57-69.
by jmbecker
Sun Sep 01, 2019 8:42 am
Forum: FAQ (Methodology)
Topic: Interpreting Path Coefficients
Replies: 8
Views: 6287

Re: Interpreting Path Coefficients

The normal PLS path coefficients are interpreted like standardized regression coefficients. Thus, they can be descriptively compared in their magnitude because they are all on the same scale. However, to make justified claims about one being larger than the other you may also want to test this using...
by jmbecker
Tue Aug 27, 2019 6:49 pm
Forum: FAQ (Methodology)
Topic: More than one moderator- each on two relationships
Replies: 1
Views: 53

Re: More than one moderator- each on two relationships

Generally, testing everything in one model would be the best way to do. Only if interaction effects are not significant they may be excluded from a model. Otherwise you may be testing artifacts. However, given that interaction effects usually introduce some collinearity into the model and several mo...
by jmbecker
Tue Aug 27, 2019 6:31 pm
Forum: FAQ (Methodology)
Topic: Longitudinal and multi group studies
Replies: 4
Views: 78

Re: Longitudinal and multi group studies

I'm not aware of longitudinal studies that use PLS-MGA. The problem is that PLS-MGA assumes independence of the groups. However, in a longitudinal setting groups are not independent, just like in a paired t-test. If you have strictly paired data, I would rather model both time points in the same mod...
by jmbecker
Tue Aug 27, 2019 6:27 pm
Forum: FAQ (Methodology)
Topic: MGA analysis for Serial Mediation model
Replies: 3
Views: 66

Re: MGA analysis for Serial Mediation model

The PLS-MGA currently does not include specific indirect effects, but only total indirect effects. We will add specific indirect effects in the next release.
by jmbecker
Tue Aug 27, 2019 11:12 am
Forum: FAQ (Methodology)
Topic: Specific indirect effects using multigroup permutation
Replies: 2
Views: 67

Re: Specific indirect effects using multigroup permutation

You are right. Specific indirect effects are yet missing in PLS-MGA and Permutation. We will put that on the list for the next release.
by jmbecker
Tue Aug 27, 2019 11:09 am
Forum: FAQ (Methodology)
Topic: MGA analysis for Serial Mediation model
Replies: 3
Views: 66

Re: MGA analysis for Serial Mediation model

Could you be a bit more specific about your problem? What exactly is unclear in the interpretation of the effects?
by jmbecker
Tue Aug 27, 2019 9:43 am
Forum: FAQ (Methodology)
Topic: P- value calculation
Replies: 1
Views: 97

Re: P- value calculation

P-values reflect the variability in coefficient estimates relative to their magnitude. One problem could be that your effects are tiny. You likely cannot do anything about it but except the result. Variability in the estimates comes from many sources. First and foremost limited sample sizes result i...
by jmbecker
Tue Aug 27, 2019 9:36 am
Forum: Application of PLS
Topic: P values and CI Bias Corrected not tally
Replies: 2
Views: 48

Re: P values and CI Bias Corrected not tally

The p-value is based on the t-value and thus makes distribution assumptions about the variability of the coefficient (t-distribution). You will get corresponding confidence intervals if you choose Studentized Bootstrap . Studentized confidence intervals are symmetric and will give you the same resul...
by jmbecker
Mon Aug 26, 2019 3:12 pm
Forum: Application of PLS
Topic: MGA or Interaction Term
Replies: 1
Views: 117

Re: MGA or Interaction Term

1) Usually, with 92 observations it should be possible to get bootstrapping results. Do you have a variable in your model that has zero variance (all values the same) in your female group? Could it be a very homogenous response (all respondents have indicated the same value)? I would try to dig deep...
by jmbecker
Mon Aug 26, 2019 3:04 pm
Forum: SmartPLS Small Talk Corner
Topic: G-power Analysis
Replies: 1
Views: 81

Re: G-power Analysis

What do you need to know? What don't you understand?
by jmbecker
Mon Aug 26, 2019 3:03 pm
Forum: SmartPLS Small Talk Corner
Topic: Problems in converting SPSS file to CSV
Replies: 1
Views: 66

Re: Problems in converting SPSS file to CSV

First, look at our guidelines for importing data into SmartPLS. There are different export options for SPSS that export to csv. Not all are equally appropriate, but many are equivalent with the difference in column separator (which you might need to specify in SmartPLS correctly, i.e., comma or semi...
by jmbecker
Mon Aug 26, 2019 2:56 pm
Forum: SmartPLS Small Talk Corner
Topic: Which Moderation Should I Use?
Replies: 1
Views: 69

Re: Which Moderation Should I Use?

Orthogonalizing approach might give you better results, but they are less credible. Actually, lastest recommendations advise to generally use the two-step approach: https://www.researchgate.net/publication/325333754_Estimating_Moderating_Effects_in_PLS-SEM_and_PLSc-SEM_Interaction_Term_GenerationDat...
by jmbecker
Mon Jul 29, 2019 4:35 pm
Forum: FAQ (Methodology)
Topic: MGA Significance
Replies: 1
Views: 137

Re: MGA Significance

1) You may simply have insufficient power in both groups because you only have the half sample size. Especially if the effects are quite similar in both groups power is the most likely reason. 2) Again you may have power problems in one of your groups that results in insignificant effects. In additi...