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You are talking about higher order latent variable: - If the first order LVs have about the same number of indicators, use the repeated indicators approach (see Wetzels et al., 2009, p.181) - If the number of indicators are very different one of another, it is better to use de two step approach (see...

CFA in SmartPLS to comput scores: [1] If you had a structural model, and the formative LVs were in exogenous position, we could run the model with covariance based on lavaan (a R package - http://lavaan.ugent.be/tutorial/index.html). But, if the purpose is to compute the factor scores, covariance ba...

CFA in SmartPLS to comput scores: [1] If you had a structural model, and the formative LVs were in exogenous position, we could run the model with covariance based on lavaan (a R package - http://lavaan.ugent.be/tutorial/index.html). But, if the purpose is to compute the factor scores, covariance ba...

Hi,
in these cases, I agree with Maruyama: we should have a longitudinal dataset, to model in this way:
A_t1 --> A_t2
B_t1 --> A_t2
A_t1 --> B_t2
B_t1 --> B_t2


Maruyama, Geoffrey (1997). Basics of Structural Equation Modeling. SAGE.

Best regards,
Bido

Hi,

1 and 2)
Univariate: histogram + Kolmogorov-Smirnov test.
Multivariate: PK-Mardia test

3) PLS-PM hasn't this assumption, it is nonparametric (based on boostrap).

best regards,

Bido

Hi,
you are right.

PLS-PM --> nonparametric (bootstrap)
SPSS --> parametric

If you intend to use SPSS results, just show that all assumptions of regression are ok: normality of residuals, etc.

best regards,

Bido

Hi, Here is some references: CHIN, W. W. The partial least squares approach for structural equation modeling. In: G. A. Marcoulides (Ed.); Modern methods for business research . p.295–336, 1998. New Jersey: Lawrence Erlbaum Associates, Inc. CHIN, W. W.; NEWSTED, P. R. Structural equation modeling an...

Hi,
The SmartPLS reports the path coefficients, that you could use to write the structural equation (one for each endogenous LV).
Best regards,
Bido

Hi,
The SmartPLS reports the path coefficients, that you could use to write the structural equation (one for each endogenous LV).
Best regards,
Bido

Hi,
n=40 in this paper:

FERREIRA, A.; MOULANG, C.; HENDRO, B. Environmental management accounting and innovation: an exploratory analysis. Accounting, Auditing & Accountability Journal, v. 23, n. 7, p. 920–948, 2010.

Best regards,
Bido

Hi,
multicollinearity between exogenous LV.

Best regards,
Bido

See: viewtopic.php?t=640
Best regards,
Bido

Hair et al. and Wetzels (see p. 181) give the same recommendation. Your rmodel is ok. We use the LV score approach when we have some LOC with many indicators and others with few indicators (If we repeate these indicators, the load from HOC to LOC will be bigger in the LOC with more indicators). Best...

Hi,

Calculate / PLS algorithm / Data metric = Mean 0, Var 1

It is possible that you had selected "Original" option.

or

if you run the bootstrap procedure, these values are t-values
t > 1.96 are significant at 5%

Best regards,

Bido

Hi,
see a simple example here:

http://bcs.whfreeman.com/ips5e/content/ ... oore14.pdf

p.14.5

Best regards,
Bido