Search found 7 matches

by Piddzilla
Sun Nov 04, 2018 3:57 pm
Forum: Application of PLS
Topic: MICOM: variances invariance established but not means invariance
Replies: 2
Views: 396

Re: MICOM: variances invariance established but not means invariance

Dr. Becker,

Thanks for this very clarifying response!
by Piddzilla
Fri Nov 02, 2018 11:33 am
Forum: Application of PLS
Topic: MICOM: variances invariance established but not means invariance
Replies: 2
Views: 396

MICOM: variances invariance established but not means invariance

I have two data sets, based on the same survey questions but collected with one year apart. The first set contains 1249 cases and the second set contains 875 cases. I have performed a MICOM analysis to see whether pooling the two data sets is possible. Configural invariance (step 1) has been establi...
by Piddzilla
Sat Jun 03, 2017 9:40 am
Forum: FAQ (Methodology)
Topic: Sample size calculation using G*power Analysis
Replies: 15
Views: 16036

Re: Sample size calculation using G*power Analysis

Okay, after sleeping on it I realized a possible way to go about the problem described above. Commonly, the relation between type 1/alpha errors ("false positives") and type 2/beta errors ("false negatives") is viewed as a trade-off. If you accept a more liberal boundary for the one you should take ...
by Piddzilla
Fri Jun 02, 2017 4:12 pm
Forum: FAQ (Methodology)
Topic: Sample size calculation using G*power Analysis
Replies: 15
Views: 16036

Re: Sample size calculation using G*power Analysis

Hi everyone! Great to see that there is a thread on G*power here already. I have a problem relating to the statistical power and critical t boundaries for f square values (effect size). My dataset has 98 respondents and I have 7 constructs predicting one specific dependent variable. I am interested ...
by Piddzilla
Tue Dec 20, 2016 5:29 pm
Forum: FAQ (Methodology)
Topic: PLS Predict: interpreting RSME, MAE, and MAPE
Replies: 2
Views: 1835

Re: PLS Predict: interpreting RSME, MAE, and MAPE

There are no acceptable scores or thresholds for these values. These criteria are used to compare models. The smaller the values the better the model. Isn't the mean absolute percentage error (MAPE) an indication of the uncertainty of the prediction? If the MAPE of a model displays a value of, say,...
by Piddzilla
Wed Nov 23, 2016 11:23 am
Forum: Application of PLS
Topic: COMPOSITES vs COMMON FACTORS, MICOM?
Replies: 5
Views: 6327

Re: COMPOSITES vs COMMON FACTORS, MICOM?

Hi Jan and thanks for your quick reply! Ok, then my gut feeling the last few days has been correct - that this is an ongoing discussion and maybe there is no clear answer to all questions. I definitely belong to group two and I try to read as much as I can about the most recent findings and guidline...
by Piddzilla
Tue Nov 22, 2016 11:30 am
Forum: Application of PLS
Topic: COMPOSITES vs COMMON FACTORS, MICOM?
Replies: 5
Views: 6327

Re: COMPOSITES vs COMMON FACTORS, MICOM?

Hi, I am also struggling to understand the difference between common factors and composites in a PLS setting. There seems to be a difference between the common factors/composites distinction on the one hand and reflective models/formative models distinction on the other. At the same time, I have nev...