Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools
| Autor: | Erich Battistin, Daniela Vuri, Michele De Nadai |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
jel:C81
Economics and Econometrics Natural experiment Distribution (number theory) education jel:I21 jel:J24 Student achievement 0502 economics and business Agency (sociology) Statistics Fraction (mathematics) Endogeneity 050207 economics Settore SECS-P/01 - Economia Politica 050205 econometrics Mathematics Observational error Data collection Measurement error Non-parametric bounds Partial identification Score manipulation jel:C31 Applied Mathematics 05 social sciences Statistical model Corrupt sampling Measurement error Nonparametric bounds Partial identification jel:C14 Test (assessment) |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.2493235 |
| Popis: | We derive bounds for the average of math and language scores of elementary school students in Italy correcting for pervasive score manipulation. Information on the fraction of manipulated data is retrieved from a natural experiment that randomly assigns external monitors to schools. We show how bounds can be tightened imposing restrictions on the measurement properties of the manipulation indicator developed by the government agency charged with test administration and data collection. We additionally assume that manipulation is more likely in those classes at the lower end of the distribution of true scores. Our results show that regional rankings by academic performance are reversed once manipulation is properly taken into account. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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