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Dyrvold, Anneli – Research in Mathematics Education, 2020
Tackling mathematics tasks often involves reading and interpreting different semiotic resources such as natural language (words), mathematical notation, and images. This study aims to enhance knowledge of how meaning relations, in the form of "cohesive ties" between and within different semiotic resources, are related to how difficult it…
Descriptors: Semiotics, Mathematics Instruction, Difficulty Level, Mathematics Tests
Solano-Flores, Guillermo; Wang, Chao; Shade, Chelsey – International Journal of Testing, 2016
We examined multimodality (the representation of information in multiple semiotic modes) in the context of international test comparisons. Using Program of International Student Assessment (PISA)-2009 data, we examined the correlation of the difficulty of science items and the complexity of their illustrations. We observed statistically…
Descriptors: Semiotics, Difficulty Level, Test Items, Science Tests
Solano-Flores, Guillermo; Wang, Chao – Teachers College Record, 2015
Background: While illustrations are widely used in international test comparisons, very scant research has been conducted on their design and on their influence on student performance. It is not clear how the features of illustration act in combination supporting students' access to the content of items or increasing their interpretation demands.…
Descriptors: Foreign Countries, Comparative Education, International Education, Educational Assessment
Chi, ShaoHui; Wang, Zuhao; Liu, Xiufeng; Zhu, Lei – International Journal of Science Education, 2017
This study investigated the associations among students' attitudes towards science, students' perceived difficulty of learning science, gender, parents' occupations and their scientific competencies. A sample of 1591 (720 males and 871 females) ninth-grade students from 29 junior high schools in Shanghai completed a scientific competency test and…
Descriptors: Difficulty Level, Science Education, Correlation, Student Attitudes
Murphy, Dan – Policy Futures in Education, 2014
In its analysis of data it collected in 2006, the Programme for International Student Assessment (PISA) survey by the Organisation for Economic Co-operation and Development (OECD) used a variety of statistical methods to arrive at the 'key findings' that school autonomy, school competition and the public posting of student achievement data were…
Descriptors: Achievement Tests, Academic Achievement, Correlation, Educational Policy
Eliciting Engagement in the High School Classroom: A Mixed-Methods Examination of Teaching Practices
Cooper, Kristy S. – American Educational Research Journal, 2014
This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…
Descriptors: Teaching Methods, High School Students, Learner Engagement, Regression (Statistics)
Yildirim, Huseyin H.; Yildirim, Selda – Hacettepe University Journal of Education, 2011
Multivariate matching in Differential Item Functioning (DIF) analyses may contribute to understand the sources of DIF. In this context, detecting appropriate additional matching variables is a crucial issue. This present article argues that the variables which are correlated with communalities in item difficulties can be used as an additional…
Descriptors: Test Bias, Multivariate Analysis, Probability, Regression (Statistics)
Thiessen, Victor; Blasius, Jorg – International Journal of Educational Research, 2008
Responding to a survey requires cognitive abilities similar to those for any other linguistic task. We argue that, when faced with a cognitively challenging task, individuals respond by simplifying the task, declining it, or performing it poorly. Using the 2003 Program for International Student Assessment (PISA 2003) data sets, we document that…
Descriptors: Mathematics Education, Mathematics Achievement, Learning Strategies, Cognitive Ability