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Robitzsch, Alexander; Lüdtke, Oliver – Journal of Educational and Behavioral Statistics, 2022
One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance,…
Descriptors: Test Bias, International Assessment, Scaling, Comparative Analysis
Rios, Joseph A. – Educational and Psychological Measurement, 2021
Low test-taking effort as a validity threat is common when examinees perceive an assessment context to have minimal personal value. Prior research has shown that in such contexts, subgroups may differ in their effort, which raises two concerns when making subgroup mean comparisons. First, it is unclear how differential effort could influence…
Descriptors: Response Style (Tests), Statistical Analysis, Measurement, Comparative Analysis
Sirganci, Gozde; Uyumaz, Gizem; Yandi, Alperen – International Journal of Assessment Tools in Education, 2020
It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
Özkan, Metin; Balci, Suphi; Kayan, Selman; Is, Engin – International Education Studies, 2018
The objective of the study was to make a comparison among the two countries according to the level of sufficiency of educational resources and to determine the accuracy level at which variables related to educational resources can classify the schools on the basis of countries. Relational survey model was used. The sample group of the study was…
Descriptors: Educational Resources, Educational Quality, Comparative Analysis, Comparative Education
Demir, Ergül – Educational Sciences: Theory and Practice, 2017
In this study, the aim was to construct a significant structural measurement model comparing students' affective characteristics with their mathematic achievement. According to this model, the aim was to test the measurement invariances between gender sub-groups hierarchically. This study was conducted as basic and descriptive research. Secondary…
Descriptors: Foreign Countries, Measurement, Student Characteristics, Comparative Analysis
Kaleli-Yilmaz, Gül; Hanci, Alper – International Journal of Mathematical Education in Science and Technology, 2016
The aim of this study is to determine how the TIMSS mathematics success of the 8th grade students differentiates according to the school type, gender, mathematics report mark, parents' education level, cognitive domains and cognitive domains by gender. Relational survey method was used in the study. Six-hundred fifty two 8th grade students…
Descriptors: Grade 8, Mathematics, Mathematics Instruction, Mathematics Achievement
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Wang, Tzu-Ling; Yang, Der-Ching – European Journal of STEM Education, 2016
The purposes of this study were to compare the differences in the use of geometry in elementary school mathematics textbooks among Finland, Mainland China, Singapore, Taiwan, and the USA and to investigate the relationships between the design of the textbooks and students' performance on large-scale tests such as TIMSS-4 geometry, TIMSS-8…
Descriptors: Comparative Analysis, Geometry, Mathematics Instruction, Textbooks
Xia, Jiangang; Gao, Xingyuan; Shen, Jianping – Chinese Education & Society, 2017
This study examined and compared school autonomy in China and the United States. Based on the international PISA 2012 school data, the authors examined three aspects of school autonomy. We found that in comparison with the United States, (1) principals from China were less likely to have responsibility over eleven school decisions (hiring…
Descriptors: Foreign Countries, Comparative Analysis, Comparative Education, Institutional Autonomy
Ost, Ben; Gangopadhyaya, Anuj; Schiman, Jeffrey C. – Education Economics, 2017
Studies using tests scores as the dependent variable often report point estimates in student standard deviation units. We note that a standard deviation is not a standard unit of measurement since the distribution of test scores can vary across contexts. As such, researchers should be cautious when interpreting differences in the numerical size of…
Descriptors: Scores, Statistical Analysis, Measurement, Computation
Herbst, Mikolaj; Wojciuk, Anna – Compare: A Journal of Comparative and International Education, 2017
The goal of this work is to better understand the institutional changes in the educational systems of the Czech Republic, Hungary, Poland and Slovakia. We demonstrate that the educational reforms implemented during the transformation introduced very different institutional arrangements in the four countries, despite the fact that their systems…
Descriptors: Educational Change, Foreign Countries, Achievement Tests, International Assessment
Bellibas, Mehmet Sükrü – Educational Sciences: Theory and Practice, 2016
Analysis of the relationship between socio-economic status (SES) and student achievement has been prevalent in the literature, yet research focusing on the association between factors and the achievement of school populations with distinct categories of SES is limited. The purpose of the present study was to investigate various relevant student,…
Descriptors: Disadvantaged, Socioeconomic Background, Socioeconomic Status, Influences
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Jerrim, John; Wyness, Gill – London Review of Education, 2016
The Programme for International Student Assessment (PISA) is an important international study of 15-year-olds' academic achievement. Although PISA has traditionally been used to draw comparisons across countries, there is growing interest in the production of regional (i.e. city,state, or provincial level) results. In this paper we present the…
Descriptors: Benchmarking, Foreign Countries, Achievement Tests, International Assessment