We consider the issue of estimating the effect of schools on student achievement, when a pre-test is available. Based on Invalsi data, our focus is on the causal effect of the lower secondary school type (public versus private) on test scores at the 8th grade (post-test), accounting for the student test scores at the 5th grade (pre-test). The treatment effect can be estimated by either conditioning on the pre-test score or substituting the post-test score with the difference between post-test and pretest scores (gain score). The performance of the two approaches, in terms of bias and efficiency, depends on several factors, such as pre-test reliability and validity of the common trend assumption. We compare the two approaches by an application using Invalsi data and by a simulation study.

Evaluating the school effect: adjusting for pre-test or using gain scores? / Arpino Bruno; Bacci Silvia; Grilli Leonardo; Guetto Raffaele; Rampichini Carla. - ELETTRONICO. - (2019), pp. 45-48. (Intervento presentato al convegno CLADAG 2019 12th Scientific Meeting Classification and Data Analysis Group tenutosi a Cassino nel 11-13 settembre 2019).

Evaluating the school effect: adjusting for pre-test or using gain scores?

Arpino Bruno;Bacci Silvia;Grilli Leonardo;Guetto Raffaele;Rampichini Carla
2019

Abstract

We consider the issue of estimating the effect of schools on student achievement, when a pre-test is available. Based on Invalsi data, our focus is on the causal effect of the lower secondary school type (public versus private) on test scores at the 8th grade (post-test), accounting for the student test scores at the 5th grade (pre-test). The treatment effect can be estimated by either conditioning on the pre-test score or substituting the post-test score with the difference between post-test and pretest scores (gain score). The performance of the two approaches, in terms of bias and efficiency, depends on several factors, such as pre-test reliability and validity of the common trend assumption. We compare the two approaches by an application using Invalsi data and by a simulation study.
2019
Cladag 2019 Book of Short Papers
CLADAG 2019 12th Scientific Meeting Classification and Data Analysis Group
Cassino
11-13 settembre 2019
Arpino Bruno; Bacci Silvia; Grilli Leonardo; Guetto Raffaele; Rampichini Carla
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1196944
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact