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Wondimu Ahmed – Journal of Psychoeducational Assessment, 2024
This study examined the psychometric properties of the Positive and Negative Affect Schedule for Children-Short Form (PANAS-C-SF) in a diverse sample of 15-year-olds in the United States [N = 4382]. Multiple measurement models, including a one-factor model, two-factor orthogonal and oblique models, a three-factor model (PA, Fear, and Distress),…
Descriptors: Psychometrics, Affective Measures, Factor Analysis, Fear
Tekin, Yusuf Taner; Aktan, Derya Cobanoglu – International Journal of Assessment Tools in Education, 2021
The purpose of this research is to examine measurement invariance of collaborative problem solving skills measured by PISA 2015 Xandar subtest for Singapore, Norway, and Turkey. The research was conducted with 2990 participants' data obtained from Turkey (1032), Norway (923), and Singapore (1035) on PISA 2015 collaborative problem solving study.…
Descriptors: Error of Measurement, Cooperative Learning, Problem Solving, Thinking Skills
Rujun Xu; James Soland – International Journal of Testing, 2024
International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…
Descriptors: Surveys, Statistical Bias, Achievement Tests, Foreign Countries
Xin Liu; Kajsa Yang Hansen; Jan De Neve; Martin Valcke – Instructional Science: An International Journal of the Learning Sciences, 2024
The present study examines the measurement property of instructional quality in mathematics education, building on data from teachers and students, by combing TALIS 2013 and PISA 2012 linkage data from seven countries. Confirmatory factor analysis was applied to examine the dimensionality of the construct instructional quality in mathematics…
Descriptors: Teacher Attitudes, Student Attitudes, Mathematics Instruction, Educational Quality
Costa, Denise Reis; Chen, Chia-Wen – Large-scale Assessments in Education, 2023
Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…
Descriptors: Achievement Tests, Secondary School Students, International Assessment, Foreign Countries
Meng, Lingqi; Qiu, Chen; Boyd-Wilson, Belinda – British Journal of Educational Technology, 2019
The present study investigated the factor structure of and measurement invariance in the information and communication technology (ICT) engagement construct, and the relationship between ICT engagement and students' performance on science, mathematics and reading in China and Germany. Samples were derived from the Programme for International…
Descriptors: Factor Structure, Information Technology, Error of Measurement, Science Achievement
Kiili, Carita; Leu, Donald J.; Utriainen, Jukka; Coiro, Julie; Kanniainen, Laura; Tolvanen, Asko; Lohvansuu, Kaisa; Leppänen, Paavo H. T. – Journal of Literacy Research, 2018
Identifying the factor structure of online reading to learn is important for the development of theory, assessment, and instruction. Traditional comprehension models have been developed from, and for, offline reading. This study used online reading to determine an optimal factor structure for modeling online research and comprehension among 426…
Descriptors: Factor Structure, Electronic Publishing, Content Area Reading, Reading Comprehension
Göllner, Richard; Wagner, Wolfgang; Eccles, Jacquelynne S.; Trautwein, Ulrich – Journal of Educational Psychology, 2018
Student ratings of teaching quality have been shown to be powerful predictors of important academic outcome variables. This is the case despite the fact that students from the same classroom can perceive teaching quality quite differently in their own idiosyncratic ways. These differences among students in the same classroom are typically…
Descriptors: Student Attitudes, Teacher Effectiveness, Mathematics Instruction, Teacher Student Relationship
Meng, Lingqi; Muñoz, Marco; King Hess, Kristin; Liu, Shujie – Educational Review, 2017
This study investigated effective teaching factors and student reading strategies as predictors of student reading achievement in the United States and China. Participants were 10,348 students in the 2009 Program for International Student Assessment (PISA) study, 5115 from China and 5233 from the United States. Exploratory factor analysis (EFA)…
Descriptors: Reading Strategies, Teacher Effectiveness, Academic Achievement, Achievement Tests
Ekmekci, Adem; Carmona, Guadalupe – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
Accurate interpretations of large-scale assessment results and sound judgments about students' mathematical literacy depend on these assessments' validity and reliability. One important type of evidence towards this validation is the dimensionality analysis, which explores the conformity between the intended factorial structure (related closely to…
Descriptors: Numeracy, Achievement Tests, Foreign Countries, International Assessment
Chang, Yuwen – Asia-Pacific Education Researcher, 2015
The relationships among future-oriented motivation, self-efficacy, task values of science, and achievement outcomes were investigated among 15-year-olds across four Asian nations who participated in the Program for International Student Assessment (PISA) of the Organization for Economic Cooperation and Development (OECD). The factor structure of…
Descriptors: Science Instruction, Self Efficacy, Achievement Tests, Foreign Countries
Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
Segeritz, Micha; Pant, Hans Anand – Educational and Psychological Measurement, 2013
This article summarizes the key finding of a study that (a) tests the measurement invariance (MI) of the popular Students' Approaches to Learning instrument (Programme for International Student Assessment [PISA]) across ethnic/cultural groups within a country and (b) discusses implications for research focusing on the role of affective measures in…
Descriptors: Foreign Countries, Affective Measures, Immigrants, Ethnic Groups
Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
Li, Hongli; Fortner, C. Kevin; Lei, Xiaoxuan – School Effectiveness and School Improvement, 2015
In this study, we examined relationships between the use of test results and US students' math, reading, and science performance in the Programme for International Student Assessment (PISA) 2009. Based on a literature review, we hypothesized that the 16 items in the PISA school questionnaire, which are related to the use of test results, can be…
Descriptors: Academic Achievement, Tests, Evaluation Utilization, Mathematics Achievement
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