Structural equation model analysed with partial least squares, and mixed logit models code.

This repository contains the RStudio code employed for the analysis of Structural Equation Modelling using Partial Least Squares, applied to a Theory of Planned behaviour survey, as well as the loop develop to stabilise tha analisys ofd a Discrete Choice Experiment using mixed logit models. The code has been developed specifically for this study and allows for the replication of the results published at Ecological Economics.

Bibliography

Hair, J., Sarstedt, M., Pieper, T., Ringle, C. (2012). The use of partial least squares structural equation modelling in strategic management research: a review of past practices and recommendations for future applications. Long Range Planning, 45 (5-6), 320—340, https://doi.org/10.1016/j.lrp.2012.09.008

Hair, J.F., Black, W., Babin, B., Anderson, R. (2010). Multivariate data analysis. 7th edition. Pearson.

Hair, J.F., Ringle, C.M., Sarstedt, M. (2011). Pls-sem: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19 (2), 139–152, https://doi.org/10.2753/MTP1069-6679190202

Hair, J.F., Ringle, C.M., Sarstedt, M. (2012). Partial least squares: The better approach to structural equation modeling? Long Range Planning, 45 (5-6), 312—319, https://doi.org/10.1016/J.LRP.2012.09.011

Hair, J.F., Risher, M., J. J. and Sarstedt, Ringle, C.M. (2019). hen to use and how to report the results of pls-sem. European Business Review , 31 (1), 2–24, https://doi.org/10.1108/EBR-11-2018-0203/FULL/XML

McFadden, D., (1974). The measurement of urvan travel demand. Journal of Public Economy, 3(4), 303-328, https://doi.org/10.1016/0047-2727(74)90003-6

Tenenhaus M., Esposito Vinzi V., Chatelin Y.M., and Lauro C. (2005) PLS path modeling. Computational Statistics & Data Analysis, 48, pp. 159-205.

Citation Requirement

If you use this code in your research or software, you must cite the following article: Morales, B. and Ovando, P. (2026) Organisational Attitudes and Preferences Toward Forest Carbon Offsets in Spain’s Carbon Footprint Registry

BibTeX citation:

@article{MoralesOvando2026,
  author = {Morales, Brenda and Ovando, Paola},
  title = {Organisational attitudes and preferences towards forest carbon offsets in Spain's carbon footprint registry},
  journal = {Ecological Economics},
  year = {2026},
  volume = {XX},
  pages = {XX-XX},
  doi = {DOI link}
}