Cultural and linguistic diversity in reading literacy achievement: a multilevel approach(symposium864)
Conference:
ECER 2009
Format:
Symposium Paper

Session Information

09 SES 05 B, Relationships in Reading Performance (Part 3)

Symposium: Towards Explaining Achievement: Findings from International Comparative Achievement Studies of Empirical Studies, continued from 09 SES 03 A

Time:
2009-09-29
08:30-10:00
Room:
HG, Marietta- Blau-Saal
Chair:
Pekka Antero Kupari
Discussant:
Pekka Antero Kupari

Contribution

Current models of reading comprehension consider both reading abilities and reading attitudes and motivation as key factors related to reading (Kamil et al., 2000; Van Diepen et al., 2007). The aim of the current study was to explore the relationship between various school, class and student background characteristics, to the students’ reading literacy achievement in the Netherlands. The influence background variables have on a student’s reading ability may differ between the subgroups of first and second language learners (Van Elsäcker, 2002). To explore this potential diversity this study focuses on the variation between the two subgroups of L1 and L2 students. The national data used for this study were selected from the IEA Progress in International Reading Literacy Study 2006 (Mullis, Martin, Kennedy & Foy, 2007). Turkish and Moroccan students were selected for the second language group (N=208). Those students who spoke another language than Dutch were deleted, leaving 3549 students in the first language group. Multiple Imputation was chosen to handle the missing data in the dataset, this procedure was executed using SAS software. The multilevel analyses were conducted with MLWin software, using HOUSE Weight and plausible values (repeated analyses). The variables contributing most to the differences in reading literacy were first selected from a theoretical viewpoint; secondly correlations and reliability of the scales were addressed. Zero model: school, class and student level variance. The antecedent and malleable variables are added in subsequent order. Model 4 is the full model and consists of all antecedent and malleable variables. Model 5: using full model, examining an interaction effect for Language. First preliminary results show that there are strong links between various scales and the reading literacy results; the full model explains 34,7% of the variance in reading literacy. On the ECER, the results of the multilevel analyses and the found differences between the two subgroups of first and second language students will be addressed and an attempt will be made to draw conclusions.

Method

Expected Outcomes

References

Diepen, M., van, Verhoeven, L., Aarnoutse, C., Leeuwe, van, J. (2007). Child, Home, and School Predictors of Reading Literacy. In M. van Diepen. (2007). Variation in Reading Literacy: A Cross-national Approach. Doctoral dissertation Radboud University, Nijmegen. Elsäcker, W. van. (2002). Development of Reading Comprehension: The Engagement Perspective. Enschede: Feboprint Kamil, M.L., Mosenthal, P.B., Pearson, P.D., Barr, R. (Eds). Handbook of Reading Research: Volume 3. Mahwah, NJ: Lawrence Erlbaum Associates. Mullis, I.V.S., Martin, M.O., Kennedy, A.M., Foy, P. (2007). PIRLS 2006 International Report. IEA Progress in International Reading Literacy Study in Primary Schools in 40 Countries. Boston: International Study Center, Lynch School of Education, Boston College.

Author Information

Radboud University Nijmegen
National Language Education Center
Nijmegen
157

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