International Large-Scale Assessment Data

Rutkowski, Leslie; González, Eugenio; Joncas, Marc; Davier, Matthias von

doi:10.3102/0013189x10363170

Cited by 386 publications

(125 citation statements)

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“…All HLM analyses were conducted using HLM 7 software (Raudenbush, Bryk, Cheong, Congdon, & Toit, 2011) that was capable of handling large dataset such as TIMSS (Rutkowski, Gonzalez, Joncas, & von Davier, 2010).…”

Section: Discussionmentioning

confidence: 99%

Quality Mathematics Instructional Practices Contributing to Student Achievements in Five High-Achieving Asian Education Systems: An Analysis Using TIMSS 2011 Data

Cheng

2014

Front Educ China

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Although teaching quality is seen as crucial in affecting students' performance, what types of instructional practices constitute quality teaching remains a question. With the theoretical assumptions of conceptual and procedural mathematics teaching as a guide, this study examined the types of quality mathematics instructional practices that affect students' mathematics learning across five high-performing Asian education systems using the Trends in International Mathematics and Science Study (TIMSS) 2011 dataset. It found that no combinations of the components of conceptual and procedural mathematics teaching practices exist consistently across the five education systems. Results from the study provide important implications for practitioners and policy makers regarding how to improve mathematics teaching and learning in these Asian education systems as well as elsewhere.

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Section: Discussionmentioning

confidence: 99%

Quality Mathematics Instructional Practices Contributing to Student Achievements in Five High-Achieving Asian Education Systems: An Analysis Using TIMSS 2011 Data

Cheng

2014

Front Educ China

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“…In other words, this specification separates all observations dependency and enabled us to draw cluster-specific inferences (McNeish et al 2017). Following the procedure suggested by Rutkowski et al (2010), we used separate weights for each level, so that the student-level used a combination of the student and class weights included in the ICCS 2009 database and the school-level uses the pure school weight. It is important to mention that because of the high number of predictors, their varying distribution and the specific missing value patterns across countries, the three-level models in Chap.…”

Section: Analytical Strategymentioning

confidence: 99%

How Do We Assess Civic Attitudes Toward Equal Rights? Data and Methodology

Sandoval-Hernández

Miranda

Isac

2018

IEA Research for Education

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Analyzing tolerance in youth may help educators to identify strategies to promote tolerance. This chapter describes the IEA's International Civic and Citizenship Education Study (ICCS) 2009, outlining the main objectives of the survey and the assessment design. Specific variables were selected from the ICCS data for the five empirical studies in this report. After assessing the variables used in the different chapters, the methodological features common to the different analytical chapters of this book are discussed in greater detail.

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“…To account for unequal chances of being selected, the use of sampling weights is necessary. The importance of sampling and weighting for an accurate estimate of skill distributions is discussed in more detail in contributions summarizing analytic strategies involving sampling and weights for largescale assessments by Rust (2014) and Rutkowski et al (2010). One particular use of these survey methodologies in large-scale assessments, and a contribution of ETS's adult assessments, is the projection of skill distributions based on expected changes in the population.…”

Section: Survey Methodologies That Provide Representative Samples Of mentioning

confidence: 99%

Large-Scale Assessments of Adult Literacy

Kirsch

Lennon

Yamamoto

et al. 2017

Methodology of Educational Measurement and Assessment

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Educational Testing Service's (ETS's) work in large-scale adult literacy assessments has been an ongoing and evolving effort, beginning in 1984 with the Young Adult Literacy Survey in the United States. This work has been designed to meet policy needs, both in the United States and internationally, based on the growing awareness of literacy as human capital. The impact of these assessments has grown as policy makers and other stakeholders have increasingly come to understand the critical role that foundational skills play in allowing individuals to maintain and enhance their ability to meet changing work conditions and societal demands. For example, findings from these surveys have provided a wealth of information about how the distribution of skills is related to social and economic outcomes. Of equal importance, the surveys and associated research activities have contributed to large-scale assessment methodology, the development of innovative item types and delivery systems, and methods for reporting survey data in ways that ensure its utility to a range of stakeholders and audiences.The chronology of ETS's large-scale literacy assessments, as shown in Fig. 9.1, spans more than 30 years. ETS served as the lead contractor in the development of these innovative assessments, while the prime clients and users of the assessment outcomes were representatives of either governmental organizations such as the National Center for Education Statistics (NCES) and Statistics Canada, or transgovernmental entities such as the Organisation for Economic Co-operation and Development (OECD). These instruments have evolved from a single-language, paper-based assessment focusing on a U.S. population of 16-to 25-year-olds to an adaptive, computer-based assessment administered in almost 40 countries and close to 50 languages to adults through the age of 65. By design, the assessments have been linked at the item level, with sets of questions from previous assessments

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International Large-Scale Assessment Data

Cited by 386 publications

References 20 publications

Quality Mathematics Instructional Practices Contributing to Student Achievements in Five High-Achieving Asian Education Systems: An Analysis Using TIMSS 2011 Data

Quality Mathematics Instructional Practices Contributing to Student Achievements in Five High-Achieving Asian Education Systems: An Analysis Using TIMSS 2011 Data

How Do We Assess Civic Attitudes Toward Equal Rights? Data and Methodology

Large-Scale Assessments of Adult Literacy

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