Studentenbarometer 2009-2010: nonresponse report

This report focuses on the nonresponse in the Studentbarometer 2009-2010. It describes the differences in the distributions of the realized sample of 7190 students in comparison to the total target population of this survey for several key variables. It also provides users of the data with weights to correct significant deviations in these distributions. Without these correcting weights, the deviations in the proportional distributions would make generalisations of the results found in the Studentenbarometer 2009-2010 to the whole UGent target population problematic

Using school performance feedback: perceptions of primary school principals

The present study focuses on the perception of primary school principals of school performance feedback (SPF) and of the actual use of this information. This study is part of a larger project which aims to develop a new school performance feedback system (SPFS). The study builds on an eclectic framework that integrates the literature on SPFSs. Through in-depth interviews with 16 school principals, 4 clusters of factors influencing school feedback use were identified: context, school and user, SPFS, and support. This study refines the description of feedback use in terms of phases and types of use and effects on school improvement. Although school performance feedback can be seen as an important instrument for school improvement, no systematic use of feedback by school principals was observed. This was partly explained by a lack of skills, time, and support

Who flees? An integration of household characteristics in the white flight hypothesis

Although there is an extensive field dedicated to the study of ethnic residential segregation, few scholars investigate the importance of household characteristics for understanding this segregation. Considering the White Flight hypothesis as a special case of the Residential Stress theory, we investigate whether there is a link between the presence of four different house hold types ethnic concentration and segregation. We therefore perform two analyses using the 2001 Census of Belgium: a binary logistic multilevel analysis investigating the chance that a neighbourhood is ethnically concentrated (i.e. has a location quotient higher than 1) and a single level linear regression analysis investigating the dissimilarity score of a city. We find that neighbourhoods with a large share ethnic majority single households and lone parents have a higher chance to be concentrated than neighbourhoods with a lower share of either household type. The same can be said for the percentage cohabitating, childless couples before adding control variables. The percentage families with young children has an inverse relation with neighbourhood concentration before adding control variables. Cities with a higher share families with young children are more segregated than cities with a lower share families with young children. Cities with a high share single households and lone parents, on the other hand, are less segregated than cities with a low share single households or lone parents. We thus conclude that it is important to consider household characteristics when studying White Flight specifically and ethnic residential segregation more general