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Leifeng Xiao; Kit-Tai Hau; Melissa Dan Wang – Educational Measurement: Issues and Practice, 2024
Short scales are time-efficient for participants and cost-effective in research. However, researchers often mistakenly expect short scales to have the same reliability as long ones without considering the effect of scale length. We argue that applying a universal benchmark for alpha is problematic as the impact of low-quality items is greater on…
Descriptors: Measurement, Benchmarking, Item Sampling, Sample Size
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Shaw, Mairead; Flake, Jessica K. – Educational Measurement: Issues and Practice, 2023
Clustered data structures are common in many areas of educational and psychological research (e.g., students clustered in schools, patients clustered by clinician). In the course of conducting research, questions are often administered to obtain scores reflecting latent constructs. Multilevel measurement models (MLMMs) allow for modeling…
Descriptors: Hierarchical Linear Modeling, Research Methodology, Data Analysis, Structural Equation Models
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Ulitzsch, Esther; Domingue, Benjamin W.; Kapoor, Radhika; Kanopka, Klint; Rios, Joseph A. – Educational Measurement: Issues and Practice, 2023
Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…
Descriptors: Reaction Time, Responses, Behavior, Achievement Tests
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Lavery, Matthew Ryan; Bostic, Jonathan D.; Kruse, Lance; Krupa, Erin E.; Carney, Michele B. – Educational Measurement: Issues and Practice, 2020
Since it was formalized by Kane, the argument-based approach to validation has been promoted as the preferred method for validating interpretations and uses of test scores. Because validation is discussed in terms of arguments, and arguments are both interactive and social, the present review systematically examines the scholarly arguments which…
Descriptors: Persuasive Discourse, Validity, Research Methodology, Peer Evaluation
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Zieger, Laura; Sims, Sam; Jerrim, John – Educational Measurement: Issues and Practice, 2019
There is much interest in comparing latent traits, such as teacher job satisfaction, in large international surveys. However, different countries respond to questionnaires in different languages and interpret the questions through different cultural lenses, raising doubts about the psychometric equivalence of the measurements. Making valid…
Descriptors: Foreign Countries, Comparative Education, Teacher Attitudes, Job Satisfaction
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Cho, Sun-Joo; Suh, Youngsuk; Lee, Woo-yeol – Educational Measurement: Issues and Practice, 2016
The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called…
Descriptors: Test Bias, Research Methodology, Evaluation Methods, Models
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Kingston, Neal; Nash, Brooke – Educational Measurement: Issues and Practice, 2012
In their critique of Kingston and Nash (2011), Briggs, Ruiz-Primo, Furtak, Shepard, and Yin (2012) make several major points. First, Kingston and Nash's conclusions about the state of research on the efficacy of formative assessment are similar to other researchers, "including some of the authors." Second, their research may be unique in that they…
Descriptors: Formative Evaluation, Meta Analysis, Effect Size, Research Methodology
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Martineau, Joseph; Paek, Pamela; Keene, John; Hirsch, Thomas – Educational Measurement: Issues and Practice, 2007
This paper describes a comprehensive model of alignment that provides a foundation for meaningful reporting of students' academic progress over time. The model includes both horizontal and vertical alignment as integral parts of the development of content standards, test blueprints, items, item pools, instruments, performance level descriptors,…
Descriptors: Academic Achievement, Student Evaluation, Cognitive Measurement, Models