What is the accpeted level of VIF range for the higher order model in smart PLS?

Is a Strong correlation between the Moderator variable and the dependent variable an issue for moderation model (model 1) in Hayes PROCESS?

In a typical moderation model with one moderator, is it a problem if the moderator and the dependent variable show a strong correlation (say 0.85)? What if a strong correlation exists between the...

27 January 2021 4,937 4 View

Multicollinearity between bioclimatic variables in spatial distribution modelling?

Is there any manual guide to perform multicollinearity test between environmental (19 Bioclimatic) variables for MaxEnt modelling? Using all variables without removing the correlated one affects...

14 January 2021 3,807 7 View

Beta greater than 1 in structural equation modeling?

Dear all, I've encountered a problem while doing SEM and I can't find a solution anywhere. Hope that someone here can help me with this. The problem is, that some standardised estimates in...

11 January 2021 9,792 5 View

How do I test for multicollinearity among Independent variables in binary logistic regression using R?

Please, I am trying to do a project work using logistic regression. I need to test for multicollinearity for the independent variables using R. I installed mctest and multiColl package already....

18 December 2020 2,531 3 View

How can I model a prediction of a dependent variable using BOTH a predictor at time 1, time 2 AND the change (time 2-1) of this predictor?

I want to model the following: DV: Y at time 3 IVs: X at time 1, X at time 2, change of X from time 1 to time 2 Which is the most appropriate way (preferably in SPSS). I am afraid I cannot use...

10 December 2020 264 3 View

Data are non-normal has multicollinearity and autocorrelation. Which multiple regression to use in SPSS?

Hi everyone, I wanted to check the influence of independent variables (meteorological parameter) on my dependent variable (pollutant). But my independent variables are non-normal has...

04 December 2020 143 4 View

Do I need to run a factor analysis on all the items used in the SEM to solve the multicollinearity issues?

Respected researchers, I conducted a SEM including 5 variables (two independent variables , two mediators, and a dependent variables), the correlations between these variables range vary from...

01 December 2020 1,338 5 View

Dummy Variable for repeated categories for the same observation?

Hello I am running a Random Forest and Decision Tree model and need to convert my categories into dummy variables since Python and its libraries are not able to hand categorical string data....

22 November 2020 9,251 7 View

Which variables to include in test for multicollinearity in structural equation modeling?

Hi there, I am testing a structural model with 3 IVs, 1 mediating variable and 3 DVs. In addition, I want to investigate the effect of 1 moderator on the relationship between the mediating...

16 October 2020 9,427 1 View

Is multicollinearity a problem in regression model with big data?

I asked this because according to Gujarati (1995), one of the remedial measures to mitigate the problem of multicollinearity is to increase the sample size. Thus, can we say that multicollinearity...

17 July 2020 3,786 7 View

M. Ichsan Nawawi

you can use "free from multicollinearity if the value of VIF < 10"

Zahid Bashir

Dear Samanthi Weerabahu,

The normal acceptable level for outer model VIF < 5

The normal acceptable level for inner model VIF < 10.

You can use these criterion for first order, or higher order as well.

Yaser Hasan Salem Al-Mamary د. ياسر حسن المعمري

Multicollinearity was measured by variance inflation factors (VIF) and tolerance. If VIF value exceeding 4.0, or by tolerance less than 0.2 then there is a problem with multicollinearity (Hair et al., 2010).

Waqas Ali

There are two approaches for the VIF 1) conservative approach and 2) liberal approach. The threshold of conservative approach is