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Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
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Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2019
Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of…
Descriptors: Reliability, Longitudinal Studies, Growth Models, Structural Equation Models
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Schumacker, Randall – Measurement: Interdisciplinary Research and Perspectives, 2019
The R software provides packages and functions that provide data analysis in classical true score, generalizability theory, item response theory, and Rasch measurement theories. A brief list of notable articles in each measurement theory and the first measurement journals is followed by a list of R psychometric software packages. Each psychometric…
Descriptors: Psychometrics, Computer Software, Measurement, Item Response Theory
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Peabody, Michael R.; Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2019
Differential Item Functioning (DIF) detection procedures provide validity evidence for proposed interpretations of test scores that can help researchers and practitioners ensure that test scores are free from potential bias, and that individual items do not create an advantage for any subgroup of examinees over another. In this study, we use the…
Descriptors: Item Response Theory, Test Items, Scores, Testing
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Luo, Yong; Liang, Xinya – Measurement: Interdisciplinary Research and Perspectives, 2019
Current methods that simultaneously model differential testlet functioning (DTLF) and differential item functioning (DIF) constrain the variances of latent ability and testlet effects to be equal between the focal and the reference groups. Such a constraint can be stringent and unrealistic with real data. In this study, we propose a multigroup…
Descriptors: Test Items, Item Response Theory, Test Bias, Models
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Zhou, Yuchun – Measurement: Interdisciplinary Research and Perspectives, 2019
Using mixed methods to develop new scales is not a new idea since the 2000s. However, there exists inadequate literature that discusses scale development using mixed methods, with steps including how to design the study, how to implement the process, and how to conduct validation. This study proposes a hands-on model of using mixed methods to…
Descriptors: Mixed Methods Research, Test Construction, Construct Validity, Psychometrics
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Gan, Zhengdong; Hoi, Cathy; Schumacker, Randall – Measurement: Interdisciplinary Research and Perspectives, 2019
While assessment for learning (AfL) has been strongly promulgated by an increasing number of education systems internationally, little research is available that investigates students' responses to such AfL innovations, particularly in a Chinese learning context. There is a need to research and evaluate the AfL practices introduced and their…
Descriptors: College Students, Cognitive Style, Foreign Countries, Educational Practices
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Ketterlin-Geller, Leanne R.; Shivraj, Pooja; Basaraba, Deni; Yovanoff, Paul – Measurement: Interdisciplinary Research and Perspectives, 2019
Diagnostic assessments are intended to support teachers' instructional decision making by providing instructionally relevant information. In this article, we propose that using cognitive theories of learning to design diagnostic assessments can provide teachers with two diagnostic outcomes: (a) the location of a student's thinking within the…
Descriptors: Diagnostic Tests, Learning Theories, Test Construction, Learning Processes
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Malatesta, Jaime; Lee, Won-Chan – Measurement: Interdisciplinary Research and Perspectives, 2019
This article reviews several software programs designed to conduct item response theory (IRT) scale linking and equating. The programs reviewed include IRTEQ, STUIRT, and POLYEQUATE. Features and functionalities of each program are discussed and an example analysis using the common-item non-equivalent groups design in IRTEQ is provided.
Descriptors: Item Response Theory, Equated Scores, Computer Software, Computer Interfaces
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Li, Qiong; Gu, Qing; He, Wenjie – Measurement: Interdisciplinary Research and Perspectives, 2019
This paper aims to explore the conceptual construct of teacher resilience and the impact of organizational and relational conditions on teachers' capacity to sustain their resilience. The research upon which the paper is based adopted a mixed-methods design to investigate the nature of resilience in a sample of 455 primary and secondary school…
Descriptors: Resilience (Psychology), Elementary School Teachers, Secondary School Teachers, Teaching Conditions
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Liu, Tour; Sun, Yicong; Li, Zhen; Xin, Tao – Measurement: Interdisciplinary Research and Perspectives, 2019
Aberrant response has an important impact on item parameter estimation, individuals' evaluation, and other statistical analysis. There are various types of aberrant response behaviors in educational and psychological tests, like sleeping, guessing, and plodding. Random response is the most common one. The purpose of this research was to clarify…
Descriptors: Test Reliability, Test Validity, Item Response Theory, Differences
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Yu, Kai; Martin, Andrew J.; Hou, Yuxue; Osborn, Justin; Zhan, Xi – Measurement: Interdisciplinary Research and Perspectives, 2019
The present study sought to extend prior research in the Chinese context by examining the role of demographic and socioeconomic factors in middle school students' motivation, engagement, academic buoyancy, and adaptability. A total of 2,434 middle school students (aged 11-15 years) in China participated in the study. For demographic factors,…
Descriptors: Student Motivation, Learner Engagement, Student Adjustment, Middle School Students
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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism
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Wang, Shiyu; Zhang, Susu; Douglas, Jeff; Culpepper, Steven – Measurement: Interdisciplinary Research and Perspectives, 2018
Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…
Descriptors: Reaction Time, Markov Processes, Computer Assisted Instruction, Spatial Ability
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Minchen, Nathan; de la Torre, Jimmy – Measurement: Interdisciplinary Research and Perspectives, 2018
Cognitive diagnosis models (CDMs) allow for the extraction of fine-grained, multidimensional diagnostic information from appropriately designed tests. In recent years, interest in such models has grown as formative assessment grows in popularity. Many dichotomous as well as several polytomous CDMs have been proposed in the last two decades, but…
Descriptors: Cognitive Measurement, Item Response Theory, Formative Evaluation, Models
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