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Wafa, Mohammad Nasim; Hussani, Sayed Abdul Moqim; Pazhman, Jumakhan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
Cognitive diagnosis models (CDMs) are restricted latent class models that can be used to analyze response data from educational or psychological tests. The Deterministic Input Noisy Output "AND" gate (DINA) model and the Deterministic Input Noisy Output "OR" gate (DINO) model there are two popular cognitive diagnosis models…
Descriptors: Foreign Countries, Mathematics Skills, Cognitive Ability, Gender Differences
George, Ann Cathrice; Robitzsch, Alexander – Applied Measurement in Education, 2018
This article presents a new perspective on measuring gender differences in the large-scale assessment study Trends in International Science Study (TIMSS). The suggested empirical model is directly based on the theoretical competence model of the domain mathematics and thus includes the interaction between content and cognitive sub-competencies.…
Descriptors: Achievement Tests, Elementary Secondary Education, Mathematics Achievement, Mathematics Tests
Walkington, Candace; Clinton, Virginia; Shivraj, Pooja – American Educational Research Journal, 2018
The link between reading and mathematics achievement is well known, and an important question is whether readability factors in mathematics problems are differentially impacting student groups. Using 20 years of data from the National Assessment of Educational Progress and the Trends in International Mathematics and Science Study, we examine how…
Descriptors: Readability, Word Problems (Mathematics), Mathematics Instruction, Problem Solving
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Wendt, Heike; Kasper, Daniel; Trendtel, Matthias – Large-scale Assessments in Education, 2017
Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…
Descriptors: Measurement, Achievement Tests, Cultural Differences, Socioeconomic Influences
Bergold, Sebastian; Wendt, Heike; Kasper, Daniel; Steinmayr, Ricarda – Journal of Educational Psychology, 2017
The present study investigated (a) how a latent profile analysis based on representative data of N = 74,868 4th graders from 17 European countries would cluster the students on the basis of their reading, mathematics, and science achievement test scores; (b) whether there would be gender differences at various competency levels, especially among…
Descriptors: Academic Ability, Gender Differences, Disproportionate Representation, Profiles
Mohammadpour, Ebrahim; Shekarchizadeh, Ahmadreza; Kalantarrashidi, Shojae Aldin – Journal of Educational Research, 2015
The authors aimed to investigate the variability in science achievement as a function of student-, school- and country-level factors. Achievement scores of 134,123 eighth-grade students from 4,511 schools of 29 countries who participated in the 2007 Trends in International Mathematics and Science Study were analyzed. Multilevel modeling results…
Descriptors: Foreign Countries, Science Achievement, International Assessment, Mathematics Tests
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
Lu, Yi – ProQuest LLC, 2012
Cross-national comparisons of responses to survey items are often affected by response style, particularly extreme response style (ERS). ERS varies across cultures, and has the potential to bias inferences in cross-national comparisons. For example, in both PISA and TIMSS assessments, it has been documented that when examined within countries,…
Descriptors: Item Response Theory, Attitude Measures, Response Style (Tests), Cultural Differences
Bulle, Nathalie – Comparative Education, 2011
The PISA survey influences educational policies through an international competitive process which is not wholly rationally-oriented. Firstly, PISA league tables act normatively upon the definition of formal educational aims while the survey tests cannot evaluate the educational systems' relative strengths with regards to such aims. We argue that…
Descriptors: Foreign Countries, Educational Policy, Educational Assessment, Competition
Marsh, Herbert W.; Abduljabbar, Adel Salah; Parker, Philip D.; Morin, Alexandre J. S.; Abdelfattah, Faisal; Nagengast, Benjamin; Möller, Jens; Abu-Hilal, Maher M. – American Educational Research Journal, 2015
The internal/external frame of reference (I/E) model and dimensional comparison theory posit paradoxical relations between achievement (ACH) and self-concept (SC) in mathematics (M) and verbal (V) domains; ACH in each domain positively affects SC in the matching domain (e.g., MACH to MSC) but negatively in the nonmatching domain (e.g., MACH to…
Descriptors: Self Concept, Cultural Differences, Academic Achievement, Comparative Analysis
Medeiros, Donald J. – ProQuest LLC, 2011
The United States' Science, Technology, Engineering, and Mathematics (STEM) workforce is growing slower than in the past, in comparison to demand, and in comparison to other countries. Competitive talent conditions require the United States to develop a strong pipeline of STEM talent within its own citizens. Given the number of female college…
Descriptors: Program Design, Ethnicity, Mentors, Females