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Factors affecting teacher job satisfaction and retention: A causal inference machine learning approach using data from TALIS 2018
Teacher shortages and attrition are problems of international concern. Studies investigating this problem often identify important correlates of these two outcomes, but fail to produce easily implementable recommendations. Accordingly, in this study we have adopted a causal inference machine learning approach to identify practical interventions for improving job satisfaction/retention. We apply our methodology to TALIS 2018 data from England. Our results indicate that participation in continualdoi:10.35542/osf.io/nasq9 fatcat:amyosu4rkfdxbj3fbbbrrdn2da