TY - JOUR
T1 - The role of content and context in pisa interest scales
T2 - A study of the embedded interest items in the pisa 2006 science assessment
AU - Drechsel, Barbara
AU - Carstensen, Claus
AU - Prenzel, Manfred
PY - 2011
Y1 - 2011
N2 - This paper focuses interest in science as one of the attitudinal aspects of scientific literacy. Large scale data from the Programme for International Student Assessment (PISA) 2006 are analysed in order to describe student interest more precisely. So far the analyses have provided a general indicator of interest, aggregated over all contexts and contents in the science test. With its innovative approach PISA embeds interest items within the cognitive test unit and its contents and contexts. The main difference from conventional interest measures is that in most questionnaires, a relatively small number of interest items cover broad fields of contents and contexts. The science units represent a number of systematically differentiated scientific contexts and contents. The units’ stimulus texts allow for concrete descriptions of relevant content aspects, applications, and contexts. In the analyses, multidimensional item response models are applied in order to disentangle student interest. The results indicate that multidimensional models fit the data. A two dimensional model separating interest into two different knowledge of science dimensions described in the PISA science framework is further analysed with respect to gender, performance differences, and country. The findings give a comprehensive description of students’ interest in science. The paper deals with methodological problems and describes requirements of the test construction for further assessments. The results are discussed with regard to their significance for science education.
AB - This paper focuses interest in science as one of the attitudinal aspects of scientific literacy. Large scale data from the Programme for International Student Assessment (PISA) 2006 are analysed in order to describe student interest more precisely. So far the analyses have provided a general indicator of interest, aggregated over all contexts and contents in the science test. With its innovative approach PISA embeds interest items within the cognitive test unit and its contents and contexts. The main difference from conventional interest measures is that in most questionnaires, a relatively small number of interest items cover broad fields of contents and contexts. The science units represent a number of systematically differentiated scientific contexts and contents. The units’ stimulus texts allow for concrete descriptions of relevant content aspects, applications, and contexts. In the analyses, multidimensional item response models are applied in order to disentangle student interest. The results indicate that multidimensional models fit the data. A two dimensional model separating interest into two different knowledge of science dimensions described in the PISA science framework is further analysed with respect to gender, performance differences, and country. The findings give a comprehensive description of students’ interest in science. The paper deals with methodological problems and describes requirements of the test construction for further assessments. The results are discussed with regard to their significance for science education.
KW - International comparisons
KW - Large-scale studies
KW - Multidimensional scaling
KW - Science interest
KW - Scientific literacy
UR - http://www.scopus.com/inward/record.url?scp=78651471770&partnerID=8YFLogxK
U2 - 10.1080/09500693.2010.518646
DO - 10.1080/09500693.2010.518646
M3 - Article
AN - SCOPUS:78651471770
SN - 0950-0693
VL - 33
SP - 73
EP - 95
JO - International Journal of Science Education
JF - International Journal of Science Education
IS - 1
ER -