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Scripts accompanying paper titled: "Factors affecting teacher job satisfaction and retention: A causal inference machine learning approach using data from TALIS 2018"

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TALIS Code Scripts

Scripts accompanying paper titled: "Factors affecting teacher job satisfaction and retention: A causal inference machine learning approach using data from TALIS 2018".

These scripts were used for estimating the average treatment effects corresponding to the 10 different treatments we have investigated in our paper.

The data from TALIS 2018 can be found at: https://www.oecd.org/education/talis/talis-2018-data.htm

Preprint can be found online at: https://edarxiv.org/nasq9/

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Key for file names:
TALIS_TREATMENT_OUTCOME.R

Treatment Options:
Continual Professional Development - CPD
Participation in Induction - INDUCTION
Participation in Observation - OBSERVATION
Participation in Team Teaching - TT
Having a Mentor - MENTOR
Being a Mentor - ISMENTOR
Public School - PUBLIC
30+ Students in Class - 30
Teaching Out-of-Field - OOF
Part-Time Contract - 90

Outcomes:
Job Satisfaction - JS
Desire to Move - DTM

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Scripts accompanying paper titled: "Factors affecting teacher job satisfaction and retention: A causal inference machine learning approach using data from TALIS 2018"

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