Data-driven management meetings and student dropouts in vocational education in Greece

Last registered on January 24, 2023
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Pre-Trial

Trial Information

General Information

Title
Data-driven management meetings and student dropouts in vocational education in Greece
RCT ID
AEARCTR-0010135
Initial registration date
October 20, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 31, 2022, 10:43 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
January 24, 2023, 12:08 PM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Name
Alessandra Fenizia
Affiliation
George Washington University
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Other Primary Investigator(s)

PI Name
Renata Lemos
PI Affiliation
The World Bank
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PI Name
Ioanna Pantelaiou
PI Affiliation
The World Bank
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Additional Trial Information

Status
In development
Start date
2022-11-09
End date
2028-12-31
Keywords
Education, Governance, Labor
Additional Keywords
JEL code(s)
I20, I28, M5, O32
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
A well-functioning educational system plays an important role in educating students and training future workers. In many settings, a vocational degree may be a steppingstone toward a professional career and financial security. Despite the amount of resources that the Greek Government pours into their government-sponsored vocational training program every year, vocational schools in Greece exhibit dropout rates as high as 30%. Moreover, a sizable fraction of dropouts re-enrol in vocational training programs later in life. The reasons why students drop out in such large numbers and/or re-enrol in the program later in life are not well understood.

We propose to study these phenomena through the evaluation of a management intervention that aims at reducing dropout rates and evaluate its effectiveness using a randomized control trial (RCT).
External Link(s)

Registration Citation

Citation
Pantelaiou, Ioanna, Alessandra Fenizia and Renata Lemos. 2023. "Data-driven management meetings and student dropouts in vocational education in Greece." AEA RCT Registry. January 24. https://doi.org/10.1257/rct.10135-1.3
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
The data-driven management meetings will rely on two key elements: i) the monitoring of meaningful key performance indicators and availability of a list of students at risk of dropping out of the program, and ii) the support of management consultants to facilitate discussions and introduce management practices informed by data that may contribute to reducing student drop-outs.
Intervention Start Date
2022-11-09
Intervention End Date
2023-04-30

Primary Outcomes

Primary Outcomes (end points)
student drop out (leaving the program without graduating), student switching specialty (dropping out of one specialty and enrolling in another one), management practices. More details in the PAP.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
students' attendance, students' performance, internship, performance during the internship, labor market outcomes (e.g., employment status, earnings, wages). More details in the PAP.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomly assign roughly half of the sample of government-funded vocational schools to the treatment group and the other half to the control group.
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
school
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
49 schools
Sample size: planned number of observations
About 8000 students About 2300 teachers 50 directors About 200 school staff
Sample size (or number of clusters) by treatment arms
approximately 25 treatment schools and 25 control schools
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Solutions IRB
IRB Approval Date
2022-10-26
IRB Approval Number
Protocol #2022/09/25
Analysis Plan

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