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Huang, Hung-Yu – Educational and Psychological Measurement, 2020
In educational assessments and achievement tests, test developers and administrators commonly assume that test-takers attempt all test items with full effort and leave no blank responses with unplanned missing values. However, aberrant response behavior--such as performance decline, dropping out beyond a certain point, and skipping certain items…
Descriptors: Item Response Theory, Response Style (Tests), Test Items, Statistical 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
Debeer, Dries; Janssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems
Zheng, Xiaying; Yang, Ji Seung – Measurement: Interdisciplinary Research and Perspectives, 2021
The purpose of this paper is to briefly introduce two most common applications of multiple group item response theory (IRT) models, namely detecting differential item functioning (DIF) analysis and nonequivalent group score linking with a simultaneous calibration. We illustrate how to conduct those analyses using the "Stata" item…
Descriptors: Item Response Theory, Test Bias, Computer Software, Statistical Analysis
Liu, Yuan; Hau, Kit-Tai – Educational and Psychological Measurement, 2020
In large-scale low-stake assessment such as the Programme for International Student Assessment (PISA), students may skip items (missingness) which are within their ability to complete. The detection and taking care of these noneffortful responses, as a measure of test-taking motivation, is an important issue in modern psychometric models.…
Descriptors: Response Style (Tests), Motivation, Test Items, Statistical Analysis
Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
Wong, Tracy K. Y.; Tao, Xi; Konishi, Chiaki – Issues in Educational Research, 2018
This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…
Descriptors: Mathematics Instruction, Mathematics Achievement, Feedback (Response), Regression (Statistics)
Yang, Ji Seung; Zheng, Xiaying – Journal of Educational and Behavioral Statistics, 2018
The purpose of this article is to introduce and review the capability and performance of the Stata item response theory (IRT) package that is available from Stata v.14, 2015. Using a simulated data set and a publicly available item response data set extracted from Programme of International Student Assessment, we review the IRT package from…
Descriptors: Item Response Theory, Item Analysis, Computer Software, Statistical Analysis
Zumbo, Bruno D.; Liu, Yan; Wu, Amery D.; Shear, Benjamin R.; Olvera Astivia, Oscar L.; Ark, Tavinder K. – Language Assessment Quarterly, 2015
Methods for detecting differential item functioning (DIF) and item bias are typically used in the process of item analysis when developing new measures; adapting existing measures for different populations, languages, or cultures; or more generally validating test score inferences. In 2007 in "Language Assessment Quarterly," Zumbo…
Descriptors: Test Bias, Test Items, Holistic Approach, Models
Ardic, Elif Ozlem; Gelbal, Selahattin – Eurasian Journal of Educational Research, 2017
Purpose: The aim of this study was to examine measurement invariance of the interest and motivation related items contained in the PISA 2012 student survey with regard to gender school type and statistical regions and to identify the items that show differential item functioning (DIF) across groups. Research Methods: Multiple-group confirmatory…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Tobishima, Shuji – Educational Studies in Japan: International Yearbook, 2018
This paper examines the influence of single parenthood on children's academic achievement in Japan. While some studies have examined the academic achievement gap associated with family structure, a limitation of existing research is the focus on differences between the mean levels of academic achievement of children in single-parent and two-parent…
Descriptors: Family Structure, Academic Achievement, Foreign Countries, Regression (Statistics)
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
Hopfenbeck, Therese N.; Lenkeit, Jenny; El Masri, Yasmine; Cantrell, Kate; Ryan, Jeanne; Baird, Jo-Anne – Scandinavian Journal of Educational Research, 2018
International large-scale assessments are on the rise, with the Programme for International Student Assessment (PISA) seen by many as having strategic prominence in education policy debates. The present article reviews PISA-related English-language peer-reviewed articles from the programme's first cycle in 2000 to its most current in 2015. Five…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Braun, Henry; von Davier, Matthias – Large-scale Assessments in Education, 2017
Background: Economists are making increasing use of measures of student achievement obtained through large-scale survey assessments such as NAEP, TIMSS, and PISA. The construction of these measures, employing plausible value (PV) methodology, is quite different from that of the more familiar test scores associated with assessments such as the SAT…
Descriptors: Scores, Test Use, Measurement, Psychometrics
The Interplay of Emotional Instability and Socio-Environmental Aspects of Schools during Adolescence
Lätsch, Alexander – European Journal of Educational Research, 2018
According to Bronfenbrenner's socio-ecological model, school is an essential microsystem of the developing child. Schools provide important developmental contexts for children and adolescents, as they constitute environments that might either foster or evoke students' emotional instability. In particular, less is known about the precise and…
Descriptors: Adolescents, Secondary School Students, Student Surveys, Questionnaires
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