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Dataset to run examples in SmartPLS 3 (teaching and learning)
- data.mendeley.com
- narcis.nl
Updated Mar 7, 2019
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EmailClick to copy linkLink copiedCiteDiógenes de Bido (2019). Dataset to run examples in SmartPLS 3 (teaching and learning) [Dataset]. http://doi.org/10.17632/4tkph3mxp9.2Unique identifierhttps://doi.org/10.17632/4tkph3mxp9.2Dataset updatedMar 7, 2019AuthorsDiógenes de BidoLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis zip file contains: - 3 .zip files = projects to be imported into SmartPLS 3
DLOQ-A model with 7 dimensions DLOQ-A model with second-order latent variable ECSI model (Tenenhaus et al., 2005) to exemplify direct, indirect and total effects, as well as importance-performance map and moderation with continuous variables. ECSI Model (Sanches, 2013) to exemplify MGA (multi-group analysis)
- 5 files (csv, txt) with data to run 7 examples in SmartPLS 3
Note: - DLOQ-A = new dataset (ours) - ECSI-Tenenhaus et al. [model for mediation and moderation] = available at: http://www.smartpls.com > Resources > SmartPLS Project Examples - ECSI-Sanches [dataset for MGA] = available in the software R > library(plspm) > data(satisfaction)
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This zip file contains: - 3 .zip files = projects to be imported into SmartPLS 3
DLOQ-A model with 7 dimensions DLOQ-A model with second-order latent variable ECSI model (Tenenhaus et al., 2005) to exemplify direct, indirect and total effects, as well as importance-performance map and moderation with continuous variables. ECSI Model (Sanches, 2013) to exemplify MGA (multi-group analysis)
- 5 files (csv, txt) with data to run 7 examples in SmartPLS 3
Note: - DLOQ-A = new dataset (ours) - ECSI-Tenenhaus et al. [model for mediation and moderation] = available at: http://www.smartpls.com > Resources > SmartPLS Project Examples - ECSI-Sanches [dataset for MGA] = available in the software R > library(plspm) > data(satisfaction)