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Measuring the relation between computer use and reading literacy in the presence of endogeneity
Affiliation:1. Department of Information Studies, University College London, Glower Street, London WC1E 6BT, UK;2. San Jose State University, One Washington Square, San Jose, CA 95192, USA
Abstract:This work studies the relation between computer use for reading activities and academic literacy in 15-year-old students in Chile, Uruguay, Spain, and Portugal. Data used is from the PISA 2009 test. Special attention is given to potential bias problems when the computer use is an endogenous variable. Few studies in this area address this issue: existing literature has shown that different types of computer use have different implications on performance. The limitations of observational data have also been emphasized to establish cause–effect relations between computer use and academic performance. It is important, however, to consider the computer use endogeneity hypothesis (above all at home) since students decide on the frequency of computer use at home. The results found show that by controlling for endogeneity, computer use for reading is not related to reading performance neither in digital or printed format, with the exception of Chile that shows a negative relation in the case of reading from a printed format. The results considering endogeneity differ considerably from results when endogeneity is not taken into account. The work shows the relevance of experimental type studies in order to make sound statements with regard to the computer use and academic performance relation. In turn, school reading activities in a digital environment are suggested that could have an impact on reading performance.
Keywords:Country-specific developments  Secondary education  Applications in subject areas  ICT"}  {"#name":"keyword"  "$":{"id":"kwrd0030"}  "$$":[{"#name":"text"  "_":"information and communication technology  PISA"}  {"#name":"keyword"  "$":{"id":"kwrd0040"}  "$$":[{"#name":"text"  "_":"Programme for International Student Assessment  OECD"}  {"#name":"keyword"  "$":{"id":"kwrd0050"}  "$$":[{"#name":"text"  "_":"Organisation for Economic Co-operation and Development  MLR"}  {"#name":"keyword"  "$":{"id":"kwrd0060"}  "$$":[{"#name":"text"  "_":"multiple linear regression
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