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

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patterns in the differences in science performance between students educated in single-sex<br />

schools and those in coeducational schools, and if these differences were consistent over<br />

the three points in time. The observed achievement differences between the two types <strong>of</strong><br />

schooling were modeled in terms <strong>of</strong> student and school characteristics identified in the<br />

single-sex education literature. By drawing on the information from countries where samesex<br />

education has been in place for a long time, this study can generate scientifically-based<br />

evidence with respect to the merits <strong>of</strong> single-sex education as compared to coeducation.<br />

Keywords: single-sex education; hierarchical linear models; science achievement; attitudes<br />

toward science; school choice<br />

TIMSS 2007 Secondary Analysis: A Method for Investigating an Attainment<br />

Gap<br />

Linda Sturman, NFER, National Foundation for Educational Research, United Kingdom<br />

Yin Lin, NFER, National Foundation for Educational Research, United Kingdom<br />

<br />

This paper describes a method <strong>of</strong> analysis used to explore the TIMSS 2007 achievement<br />

gap in eighth grade mathematics between a high-scoring country and the group <strong>of</strong> Asian<br />

Pacific Rim countries which outscored it. A multi-level modelling approach was used to<br />

identify key factors significantly associated with attainment in these countries, with the<br />

aim <strong>of</strong> characterising how high attainment differs from the highest attainment. The analysis<br />

used attainment data and background variable data from the TIMSS 2007 international<br />

database. Factor analysis was conducted on the background variables and the resulting<br />

factors and other relevant background variables were used to create parallel multi-level<br />

models. These investigated attainment in the target country (England) and the five<br />

comparator countries (Chinese Taipei, Republic <strong>of</strong> Korea, Singapore, Hong Kong SAR and<br />

Japan). This paper outlines the methodology used in the analysis, and shows the outcomes<br />

across the six countries. It discusses some <strong>of</strong> the advantages, challenges and issues<br />

associated with this type <strong>of</strong> analysis, and indicates how the outcomes can be used to<br />

attempt to explain an achievement gap, thus helping to inform policy and practice and,<br />

potentially, to raise achievement.<br />

Keywords: TIMSS; mathematics; achievement; multi-level modelling; high attainment.<br />

TIMSS Contribution to Theories <strong>of</strong> Educational Effectiveness: A Systematic<br />

Review <strong>of</strong> the Literature<br />

Martina Meelissen, <strong>University</strong> <strong>of</strong> Twente, the Netherlands<br />

Marjolein Drent, <strong>University</strong> <strong>of</strong> Twente, the Netherlands<br />

Fabienne van der Kleij, <strong>University</strong> <strong>of</strong> Twente, the Netherlands<br />

<br />

The interest <strong>of</strong> policy makers from all over the world in participating in IEA studies such<br />

as TIMSS and PIRLS, has been growing rapidly during the last 15 years. Because these<br />

studies are collecting data on school, classroom and student level, and the data is easy<br />

accessible and well documented, these studies <strong>of</strong>fer researchers in the field <strong>of</strong> education<br />

21

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