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Sun, Ting; Kim, Stella Yun – Measurement: Interdisciplinary Research and Perspectives, 2021
In many large testing programs, equipercentile equating has been widely used under a random groups design to adjust test difficulty between forms. However, one thorny issue occurs with equipercentile equating when a particular score has no observed frequency. The purpose of this study is to suggest and evaluate six potential methods in…
Descriptors: Equated Scores, Test Length, Sample Size, Methods
Mangino, Anthony A.; Finch, W. Holmes – Educational and Psychological Measurement, 2021
Oftentimes in many fields of the social and natural sciences, data are obtained within a nested structure (e.g., students within schools). To effectively analyze data with such a structure, multilevel models are frequently employed. The present study utilizes a Monte Carlo simulation to compare several novel multilevel classification algorithms…
Descriptors: Prediction, Hierarchical Linear Modeling, Classification, Bayesian Statistics
Xia, Yan – Educational and Psychological Measurement, 2021
Despite the existence of many methods for determining the number of factors, none outperforms the others under every condition. This study compares traditional parallel analysis (TPA), revised parallel analysis (RPA), Kaiser's rule, minimum average partial, sequential X[superscript 2], and sequential root mean square error of approximation,…
Descriptors: Statistical Analysis, Factor Analysis, Accuracy, Goodness of Fit
Davies, Annabel L.; Galla, Tobias – Research Synthesis Methods, 2021
Network meta-analysis (NMA) is a statistical technique for the comparison of treatment options. Outcomes of Bayesian NMA include estimates of treatment effects, and the probabilities that each treatment is ranked best, second best and so on. How exactly network topology affects the accuracy and precision of these outcomes is not fully understood.…
Descriptors: Meta Analysis, Network Analysis, Probability, Statistical Bias
Cassiday, Kristina R.; Cho, Youngmi; Harring, Jeffrey R. – Educational and Psychological Measurement, 2021
Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections that are commonly used when dealing with mixture models. A growth…
Descriptors: Probability, Models, Simulation, Mathematics
Mileva, Viktoria R.; Hancock, Peter J. B.; Langton, Stephen R. H. – Cognitive Research: Principles and Implications, 2021
Finding an unfamiliar person in a crowd of others is an integral task for police officers, CCTV-operators, and security staff who may be looking for a suspect or missing person; however, research suggests that it is difficult and accuracy in such tasks is low. In two real-world visual-search experiments, we examined whether being provided with…
Descriptors: Video Technology, Handheld Devices, Visual Acuity, Accuracy
Lim, Hwanggyu; Davey, Tim; Wells, Craig S. – Journal of Educational Measurement, 2021
This study proposed a recursion-based analytical approach to assess measurement precision of ability estimation and classification accuracy in multistage adaptive tests (MSTs). A simulation study was conducted to compare the proposed recursion-based analytical method with an analytical method proposed by Park, Kim, Chung, and Dodd and with the…
Descriptors: Adaptive Testing, Measurement, Accuracy, Classification
Lockamyeir, Robert F.; Carlson, Curt A.; Jones, Alyssa R.; Wooten, Alex R.; Carlson, Maria A.; Hemby, Jacob A. – Applied Cognitive Psychology, 2021
Most eyewitness identification research simulates single perpetrator crimes, but real-world crimes often transpire at the hands of multiple perpetrators. It is unclear how multiple perpetrators might impact the ability of eyewitnesses to discriminate between the guilty and innocent. To address this issue, we conducted two experiments in which…
Descriptors: Crime, Criminals, Identification, Audiences
Coggeshall, Whitney Smiley – Educational Measurement: Issues and Practice, 2021
The continuous testing framework, where both successful and unsuccessful examinees have to demonstrate continued proficiency at frequent prespecified intervals, is a framework that is used in noncognitive assessment and is gaining in popularity in cognitive assessment. Despite the rigorous advantages of this framework, this paper demonstrates that…
Descriptors: Classification, Accuracy, Testing, Failure
Meyen, Sascha; Sigg, Dorothee M. B.; von Luxburg, Ulrike; Franz, Volker H. – Cognitive Research: Principles and Implications, 2021
Background: It has repeatedly been reported that, when making decisions under uncertainty, groups outperform individuals. Real groups are often replaced by simulated groups: Instead of performing an actual group discussion, individual responses are aggregated by a numerical computation. While studies have typically used unweighted majority voting…
Descriptors: Group Discussion, Decision Making, Voting, Simulation
Ziqiang Xin; Bihong Xiao; Luxiao Wang; Huiwen Xiao – Metacognition and Learning, 2024
Financial literacy refers to the knowledge required for individuals to make financial decisions. When individuals' subjective assessment of their financial literacy does not align with their actual level of financial knowledge (i.e., the discrepancy between subjective and objective financial literacy), it can result in a range of adverse…
Descriptors: Individual Differences, Self Evaluation (Individuals), Financial Literacy, Decision Making
J. Staal; K. Katarya; M. Speelman; R. Brand; J. Alsma; J. Sloane; W. W. Van den Broek; L. Zwaan – Advances in Health Sciences Education, 2024
Diagnostic errors are a major, largely preventable, patient safety concern. Error interventions cannot feasibly be implemented for every patient that is seen. To identify cases at high risk of error, clinicians should have a good calibration between their perceived and actual accuracy. This experiment studied the impact of feedback on medical…
Descriptors: Performance, Feedback (Response), Medical Students, Graduate Medical Education
Umut Zeki; Tolgay Karanfiller; Kamil Yurtkan – Education and Information Technologies, 2024
The developmental, characteristics and educational competencies of students who need special education are developing slowly in compared to their agemates. This is because their expressive language is different. In order to overcome these challenges, assistive technologies can be used under the supervision of the teachers. In this paper, a person…
Descriptors: Special Education, Expressive Language, Assistive Technology, Artificial Intelligence
Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
Ben Ph?m; Sharynne McLeod – International Journal of Language & Communication Disorders, 2024
Background: The dialect spoken by children influences diagnostic decision-making regarding the identification and severity of speech sound disorder (SSD). Aims: The primary objective was to review papers that examined the influence of dialect on the identification of SSD in Vietnamese-speaking children. Methods & Procedures: Five studies of…
Descriptors: Dialects, Disability Identification, Speech Impairments, Foreign Countries

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