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Trial Title Is There a Free Pass for the "Deserving" Under-Performer? Navigating Performance Complexity in Public Service Delivery: Do Frontline Workers Distinguish Between Inputs, Outputs, and Outcomes?
Trial Status in_development completed
Abstract We provide descriptions of fictive high schools to a large sample of Danish high-school teachers and ask them to rate the performance of the presented schools. Within each description we randomly assign a number of different pieces of performance information. In addition, we provide teachers with information of schools' "deservingness" to see if teachers give higher ratings to schools with low performance but high in deservingness. Specifically, we provide information about schools' share of non-Western student, education levels of parents, how hard schools have worked the past year to improve performance, and how many new initiatives schools have set up to improve in the future. We provide descriptions of fictive high schools to a large sample of Danish high-school teachers and ask them to rate the outcome attainment of the presented schools. Within each description, we randomly assign a number of different pieces information about outcomes: socioeconomic mobility, wellbeing, and transition to higher education. In addition, we provide teachers with information about schools' "production attributes", i.e. the inputs and outputs preceding outcomes. For organizational inputs, we use two sets of wordings related to student backgrounds—one tied to student origin (e.g., “Has a high proportion of students with a non-Western background.”) and the other linked to parents’ educational background (e.g., “Has a high proportion of parents without higher education.”). For organizational outputs, we use two distinct sets of wordings—one focusing on past efforts (e.g., “Has implemented many initiatives to improve quality in the past year.”) and the other on potential future efforts (e.g., “Significant focus on developing the teaching in the future.”).
Last Published April 06, 2021 06:20 AM April 08, 2024 07:46 AM
Intervention Completion Date April 27, 2021
Data Collection Complete Yes
Final Sample Size: Number of Clusters (Unit of Randomization) 1796
Was attrition correlated with treatment status? No
Data Collection Completion Date April 27, 2021
Keyword(s) Education, Other, Welfare Education, Other, Welfare
Building on Existing Work Yes
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