Portfolio of Projects organized by cases

Projects/codes in this collection organized by cases (or datasets):

Comtrade_vaccines:

Assessing the global trade of vaccines using spatial data visualization and UN's Comtrade data
	Spatial data analysis
	Spatial data visualization using R's `ggplot2` package	Data from: United Nations' Comtrade data

Assessment of Vaccine Networks inside continents
	ContinentNetwork
	graph analysis using igraph	Data from: United Nations' Comtrade data

LaBarbera_2020:

5-A CB-SEM moderation study: Attitude toward Energy consumption
	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.

Awad_2015:

4 - Adjusting visualization in semPlot package: Longitudinal Health Behaviour & the 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.

Leask_2021:

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
	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).

Aresi_2021:

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 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

Park_2018:

1_Iteration cycle in CB-Structural Equation Modelling
	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. . pntd.0006799

1-Progression of Dengue illness phenotype (using Park et al 2018 data) in Python
	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. . pntd.0006799