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University of Oslo Workshops June 29-30 Conference July 1-3 ...

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Exploring Local Item Dependency for Items Clustered around Common<br />

Reading Passage in PIRLS Data<br />

Valerie Quittre, <strong>University</strong> <strong>of</strong> Liege, Belgium<br />

Christian Monseur, <strong>University</strong> <strong>of</strong> Liege, Belgium<br />

Since the IEA 1991 Reading Literacy Study (Elley, 1994; Wolf, 1995), cognitive data <strong>of</strong><br />

international assessments are usually scaled according to IRT models. One <strong>of</strong> the<br />

cornerstones <strong>of</strong> IRT models is the assumption <strong>of</strong> Local Item Independence (LII). In PIRLS<br />

assessment, as well as in other international assessments in reading literacy such as PISA<br />

(Organisation for Economic Cooperation and Development - OECD), testing material is<br />

hierarchically structured, i.e. several items are related to a common passage. Monseur & al<br />

(submitted) noted that “this test format may be viewed as the most appropriated to assess a<br />

complex process such as reading comprehension. In real life situation, students have to use<br />

different cognitive processes to understand various components <strong>of</strong> a same text”. This<br />

embedded structure might therefore violate the assumption <strong>of</strong> LII. As stated by Embretson<br />

and Reise (2000, p. 188), “Practically, local independence is violated when item responses<br />

are linked”. As noted by Balazs and De Boeck (2006, p. 2) “ignoring Local Item Dependence can<br />

have serious consequences for the goodness <strong>of</strong> fit <strong>of</strong> a model, for the parameter estimates and for<br />

confidence intervals.” This study was aimed at detecting passage-related local item dependencies in<br />

PIRLS 2006 cognitive data and estimating its relationship with the country performance.<br />

Keywords: local item dependency; IRT; PIRLS<br />

<br />

Differential Item Functioning in the Aspect <strong>of</strong> Gender Differences in Reading<br />

Literacy<br />

Antra Ozola, <strong>University</strong> <strong>of</strong> Latvia, Latvia<br />

Andrejs Geske, <strong>University</strong> <strong>of</strong> Latvia, Latvia<br />

The purpose <strong>of</strong> the study is to analyze the IEA PIRLS 2006 set <strong>of</strong> items in order to check if<br />

a differential item functioning (DIF) can be noticed. The groups <strong>of</strong> comparison are based<br />

on gender since PIRLS 2006 study has showed that Latvia has the 6th largest gender gap in<br />

reading literacy scores. So the DIF analysis is expected to show if an instrument could be<br />

one <strong>of</strong> the reasons <strong>of</strong> the gender gap in achievement. Items easiest and hardest for each sex<br />

are found as well as items with the biggest and smallest DIF values to check if an item<br />

format gives any advantages or disadvantages to any <strong>of</strong> the gender groups <strong>of</strong> Latvian<br />

students. The results show that the set <strong>of</strong> PIRLS 2006 items does not have any gender bias<br />

on Latvian students since there are items with no DIF at all and there is almost equal<br />

number <strong>of</strong> items with DIF in favor <strong>of</strong> each <strong>of</strong> the sexes. The length <strong>of</strong> the item stem does<br />

not have any correlation with the item difficulty or differential item functioning between<br />

sexes. There is no difference in DIF when the items <strong>of</strong> literary and informative texts are<br />

compared and the same is true for multiple choice and constructed response items. The<br />

main conclusion is that the achievement gap between boys and girls in Latvia is caused by<br />

the differences in their skills/abilities and not by a differential item functioning.<br />

Keywords: secondary analysis; differential item functioning; PIRLS; reading literacy;<br />

gender differences<br />

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