
Contexts of Learning Mathematics and Science
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In many countries researchers have started secondary analysis of the data in search for relationships between contextual factors and achievement. In these analyses two different approaches can be distinguished, which can be characterised by the metaphors of 'fishing' and 'hunting'. In the 'fishing' approach, researchers begin with an open mind, considering all possible context variables as potentially influential. Applying analysis techniques such as regression analysis, Lisrel, PLS, HLM, and MLN, they then identify important factors within their countries or across a number of countries. In the 'hunting' approach, researchers hypothesise certain context variables and trace the effect of these variables on mathematics and/or science achievement.
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A Re-Analysis of the German TIMSS and TIMSS Video Data 22. Where to Look for Student Sorting and Class-Size Effects: Identification and Quest for Causes Based on International Evidence 23. Grouping in Science and Mathematics Classrooms in Israel 24. Factors Associated with Cross-National Variation in Mathematics and Science Achievement Based on TIMSS 1999 Data
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