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1_Iteration cycle in CB-Structural Equation Modelling
Focused discussion of the partial replication of an intermediary step in modelling progression of the dengue illness phenotype. Original study: Park, S., Srikiatkhachorn, A., Kalayanarooj, S., Macareo, L., Green, S., Friedman, J. F., & Rothman, A. L. (2018). Example of iteration cycle in CB-Structural Equation Modelling CB-SEM using R's `Lavaan` Package. The visualization was generated using the `semPlots`'s Package. Data from: Park S, Srikiatkhachorn A, Kalayanarooj S, Macareo L, Green S, Friedman JF, et al. (2018). Use of structural equation models to predict dengue illness phenotype. PLoS Negl Trop Dis 12 (10): e0006799. -
2- PLS-SEM example with composite variables: assessment of influential factors on drunk behaviour of foreign students
A longitudinal study with the assessment of the influence of MMSAS (Multidimensional Motivations to Study Abroad) on BSAS (Brief sociocultural adaptation) and drunk behaviour. A longitudinal study with the assessment of the influence of the Multidimensional Motivations to Study Abroad on sociocultural adaptation and drunk behaviour. PLS-SEM R's `SEMinR` package. Data from: Aresi, G; Moore, S C.; Marta, E (2021), "The longitudinal health behaviours of European study abroad students sampled from forty-two countries and across three-waves", Mendeley Data, V3, doi: 10.17632/585d2wdmtd.3 -
3-CFA and CB-SEM example with reflective constructs: resilience and other human resources profile variables and perceptions of the risk of losing job during covid
Assessment of the relation among resilience and other human resources profile variables and their influence on the perceptions of the risk of losing job during covid-19 Example of CFA with reflective constructs before CB-SEM: resilience and other human resources profile variables and perceptions of the risk of losing job during covid The packages used were R's Lavaan Package, for SEM, and the lavaanPlot Package, for visualization. CFA and CB-SEM using R's `Lavaan` Package. The visualization was generated using and `LavaanPlot` Package. Data from: Leask, C., & Ruggunan, S. (2021). A temperature reading of covid-19 pandemic employee agility and resilience in south africa. SA Journal of Industrial Psychology, 47(July). -
4 - Adjusting visualization in semPlot package: Longitudinal Health Behaviour & the attitudes toward the out-of-prescription use of antibiotics
Inspired by Awad 2015's data on attitudes toward the out-of-prescription use of antibiotics Exemplification of how semPlot's plot can be adjusted regarding the nodes coordinates CB-SEM using R's `Lavaan` Package. The visualization was generated using and `semPlots` Package. Data from: Awad AI, Aboud EA (2015) Knowledge, Attitude and Practice towards Antibiotic Use among the Public in Kuwait. PLOS ONE 10(2): e0117910. -
5-A CB-SEM moderation study: Attitude toward Energy consumption
Model inspired by La Barbera's data, on the assessment of Sustainability awareness through the attitudes toward energy saving, and the implications on intention Exemplification of moderation study in CB-SEM: assessment of Sustainability awareness through the attitudes toward energy saving, and the implications on intention CB-SEM using R's `Lavaan` Package. The semTools package is used to compute moderation terms. The visualization was generated using `semPlots` Package. Data from: La Barbera, F. Moderating Role of Control in the Theory of Planned Behavior: A Replication and Extension [Dataset] [Data set]. ZPID (Leibniz Institute for Psychology Information). https://doi.org/10.23668/psycharchives.2759. -
1-Progression of Dengue illness phenotype (using Park et al 2018 data) in Python
a partial replication of an intermediary step in modelling progression of the dengue illness phenotype. Modelling progression of the dengue illness phenotype. Replication of the SEM analysis presented in Park, S., Srikiatkhachorn, A., Kalayanarooj, S., Macareo, L., Green, S., Friedman, J. F., & Rothman, A. L. (2018). CB-SEM using Python's `semopy` Package. Data from: Park S, Srikiatkhachorn A, Kalayanarooj S, Macareo L, Green S, Friedman JF, et al. (2018). Use of structural equation models to predict dengue illness phenotype. PLoS Negl Trop Dis 12 (10): e0006799. -
1- Progression of Dengue illness phenotype - data from Park et al 2018
A partial replication of an intermediary step in modelling progression of the dengue illness phenotype. Original study: Case_code: 'Park_2018' Park, S., Srikiatkhachorn, A., Kalayanarooj, S., Macareo, L., Green, S., Friedman, J. F., & Rothman, A. L. (2018). CB-Structural Equation Modelling for the progression of the dengue illness phenotype using R's Lavaan package. Replication of the SEM analysis presented in Park, S., Srikiatkhachorn, A., Kalayanarooj, S., Macareo, L., Green, S., Friedman, J. F., & Rothman, A. L. (2018). CB-SEM using R's `Lavaan` Package. The visualization was generated using the `semPlots`'s Package. Data from: Park S, Srikiatkhachorn A, Kalayanarooj S, Macareo L, Green S, Friedman JF, et al. (2018). Use of structural equation models to predict dengue illness phenotype. PLoS Negl Trop Dis 12 (10): e0006799.
