Search found 1160 matches

by jmbecker
Thu Apr 08, 2021 4:08 pm
Forum: SmartPLS Small Talk Corner
Topic: Significance values of Path coefficients
Replies: 1
Views: 632

Re: Significance values of Path coefficients

You have to use the bootstrapping algorithm.
by jmbecker
Fri Mar 26, 2021 8:33 am
Forum: Requested Features
Topic: Single indicator for each latent variable
Replies: 5
Views: 400

Re: Single indicator for each latent variable

We cannot provide individual counselling on how to build an appropriate model. We can only answer general methodological questions that might also be interesting for other researchers. If you need more input on your specific model, you may either purchase the enterprise license which comes with 8 ho...
by jmbecker
Wed Mar 24, 2021 8:38 am
Forum: FAQ (Methodology)
Topic: 4-point scale in questionnaire for analysis in SmartPLS
Replies: 1
Views: 4583

Re: 4-point scale in questionnaire for analysis in SmartPLS

PLS algorithms use normal (Pearson) correlations and regression. Thus, they assume metric or at least quasi-metric data. Most researchers assume quasi-metric data for their questionnaire responses if it has sufficient categories (usually at least 5 or better 7 or more) and has equidistant categories...
by jmbecker
Wed Mar 24, 2021 8:32 am
Forum: FAQ (Methodology)
Topic: Reporting 95% CI
Replies: 1
Views: 4927

Re: Reporting 95% CI

If you want to report the bias-corrected and accelerated bootstrapping confidence intervals you should report the values under "Confidence Intervals Bias Corrected" otherwise they will not be bias-corrected and accelerated, but normal percentile intervals.
by jmbecker
Wed Mar 24, 2021 8:31 am
Forum: FAQ (Methodology)
Topic: Outer loadings >1 in a CFA
Replies: 1
Views: 6148

Re: Outer loadings >1 in a CFA

Are you running a PLS model or a LISREL/AMOS/MPLUS analysis?
by jmbecker
Wed Mar 24, 2021 8:29 am
Forum: FAQ (Methodology)
Topic: singular matrix problem
Replies: 1
Views: 89

Re: singular matrix problem

There likely will be a problem somewhere with your model or data set. You could send the project (including the data set and model) to our support team and they might have a look at it.
by jmbecker
Wed Mar 24, 2021 8:27 am
Forum: Requested Features
Topic: Single indicator for each latent variable
Replies: 5
Views: 400

Re: Single indicator for each latent variable

If you have no measurement model (only single indicators) there is nothing to calculate and the assumption for single indicators is perfect reliability (i.e., the construct is the same as the indicator). So this is ok. However, the question is, whether using only single indicator constructs is in ge...
by jmbecker
Sat Mar 20, 2021 10:19 pm
Forum: Requested Features
Topic: GDP as a country-specific control variable
Replies: 2
Views: 2015

Re: GDP as a country-specific control variable

You can include control variables as single-item constructs into your PLS model.
by jmbecker
Sat Mar 20, 2021 10:18 pm
Forum: SmartPLS Small Talk Corner
Topic: PLS FAC-SEM
Replies: 1
Views: 1306

Re: PLS FAC-SEM

As far as I remember, FAC-SEM are procedural guidelines on how to combine different PLS results to analyze factorial SEMs. There is no specific algorithm for this in SmartPLS.
by jmbecker
Wed Mar 17, 2021 8:54 am
Forum: FAQ (Methodology)
Topic: Interpreting effect size F squared and Q squared
Replies: 5
Views: 4382

Re: Interpreting effect size F squared and Q squared

First, thresholds are never right or wrong. They are always arbitrary and to some degree based on the opinions of the authors or common practice in the field. The thresholds in the course slides that you show are based on the PLS Primer book 2nd edition. However, we do not use this slide anymore in ...
by jmbecker
Thu Mar 04, 2021 8:43 am
Forum: FAQ (Methodology)
Topic: Data Metrics - How to Standardise Raw Data - Using SmartPLS3
Replies: 5
Views: 5788

Re: Data Metrics - How to Standardise Raw Data - Using SmartPLS3

You do not need to standardize the data prior to importing it. SmartPLS will always standardize the data in the algorithm. In fact, it is usually better to import the unstandardized raw data, because standardization might be different if you analyse groups, have missing values, etc. In these cases i...
by jmbecker
Wed Mar 03, 2021 3:18 pm
Forum: SmartPLS Small Talk Corner
Topic: Disjointed Two Stage Approach
Replies: 5
Views: 9014

Re: Disjointed Two Stage Approach

1) Any incoming or outgoing significant path is sufficient. On first glance, it seems that you always have at least one incoming or outgoing path that is significant. Thus, you should be ok. 2) If you want to test significance in the second stage model, the sample size there is important for suffici...
by jmbecker
Tue Mar 02, 2021 9:36 am
Forum: Application of PLS
Topic: negative moderation path coefficient showing na in bootsrapping SMART PLS 3?
Replies: 3
Views: 35004

Re: negative moderation path coefficient showing na in bootsrapping SMART PLS 3?

The problem is not the negative moderation, but the use of PLSc with a model that does not adhere to the common factor model. Please find some description of the problem here: https://www.smartpls.com/documentation/algorithms-and-techniques/consistent-pls-problems You can also search the forum and f...
by jmbecker
Tue Mar 02, 2021 9:33 am
Forum: Application of PLS
Topic: "High" r squared (= .28), although no significant predictor (VIFs below 5)
Replies: 1
Views: 12610

Re: "High" r squared (= .28), although no significant predictor (VIFs below 5)

I think the most important question is sample size. If you sample size is too small, you might not have enough power to detect small to medium effects. Together with some substantial (even though not severe multicollinearity) this might explain the quite ok R² values while having insignificant paths.