Dickson Anumendem

Stability over Time of Different Methods of Estimating School Performance.

This paper aims to investigate how stability varies with the approach used in estimating school performance in a large sample of English primary schools. The results show that (a) raw performance is considerably more stable than adjusted performance, which in turn is slightly more stable than growth model estimates; (b) schools’ performance indicators are less dependent on the schools’ social composition score when scores are adjusted, and in particular for growth scores; (c) in the multilevel growth models (MGM), 74% of the variance in student rates of growth is attributable to schools; (d) the trajectories of individual students within a school are highly convergent, as if they were all being brought towards a common, stable target. Some implications for using these indicators for evaluating and regulating school improvement are discussed.

How do student and classroom characteristics affect attitude toward mathematics? A multivariate multilevel analysis

ABSTRACT This study investigated the effects of student and classroom characteristics on math self-confidence, perceived usefulness, and enjoyment of mathematics as multiple outcomes. A sample of 7th-grade students from 78 classes of 49 schools was studied. The data were collected using, among other instruments, an attitude questionnaire. The results of the multivariate multilevel analysis showed that the variance of the 3 indicators was situated mostly at the student level, and that the indicators correlated strongly at the class level. Higher prior mathematics achievement and positive parental beliefs and attitudes were significant predictors of higher scores across the 3 indicators. Each of the baseline indicators was significantly associated with its corresponding final indicator. At the classroom level, classroom assessment was significantly associated with less endorsement of all 3 indicators, higher levels of classroom modeling with greater endorsement of perceived usefulness of mathematics, and classroom questioning with greater enjoyment of mathematics.

Educational choice in secondary school in Flanders: the relative impact of occupational interests on option choice

The present study aims at unravelling the myriad of student-level (i.e., gender, socioeconomic status [SES], academic self-concept, achievement, ability, and occupational interests) and school-level (i.e., gender composition, maths composition, and SES composition) determinants of option choice in the academic track of secondary school in Flanders. We focused on 2 decisional thresholds in Flemish secondary education, namely, the transition from Grade 8 to Grade 9 (N = 2518) and from Grade 10 to Grade 11 (N = 2871). Data were analyzed through multinomial multilevel analysis. Our results strongly confirm Lents (2005) jigsaw puzzle metaphor in that different factors go into a complex and dynamic interplay. Especially in the first grades, prior achievement is a major predictor of option choice in secondary education, whereas in the last years occupational interests become increasingly important. From a gender perspective, boys rather choose math/sciences-oriented options than girls. Option choice is mainly determined by student-level rather than school-level predictors.