Mplus Files for Analysis of Student COVID-19 School Infections (Ontario 2020-21)

Link copied to clipboard!

View this record at source repository

---

Description:

This dataset contains the Mplus analysis files for the multi-level modelling analysis of student COVID-19 school infections in Ontario for the 2020-21 school year that appears in the paper, 'Effects of socio-economic factors on elementary school student infections in Ontario, Canada (Srivastava et al., 2022, medRxiv). Model 1 calculates the proportion of variance attributable to Level 1 (school level) and Level 2 (area level). Model 2 includes Level 1 and Level 2 predictors. Models 1 and 2 are computed for cumulative cases and cumulative incidence (per 1000 students). Both .inp and .out files can be read using a .txt editor. The aggregated dataset used for analysis and codebook are available here: Lau, Nathan T.T.; Ansari, Daniel; Thampi, Nisha; Srivastava, Prachi, 2022, "Final Dataset for Analysis of Student COVID-19 Infections in Schools (Ontario 2020-21)", https://doi.org/10.5683/SP3/VKK7BR, Scholars Portal Dataverse,

Contributor(s):

Taylor, Peter J.

---

Source Repository:

Western University Dataverse

Series:

Prachi Srivastava Dataverse // COVID-19 and Education // Analysis of Student COVID-19 School Infections Dataverse

---

Access:

Public

---

License:

CC0

---

URL:

https://doi.org/10.5683/SP3/IJOWDY

---

Publication date:

2022-02-07

---

Subjects:

Social Sciences, Medicine, Health and Life Sciences

---

Keywords:

COVID-19, Mutli-level, Socio-economic Status, Education, and Communities. Classes. Races

---

APA Citation:

Mplus Files for Analysis of Student COVID-19 School Infections (Ontario 2020-21). (2022). [Data set]. Western University Dataverse. https://doi.org/10.5683/SP3/IJOWDY

Citation copied to clipboard

Copy Citation

---

Export to citation manager:

Download bibtex file (.bib)

---