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Peer reviewed
Direct linkNájera, Pablo; Abad, Francisco J.; Chiu, Chia-Yi; Sorrel, Miguel A. – Journal of Educational and Behavioral Statistics, 2023
The nonparametric classification (NPC) method has been proven to be a suitable procedure for cognitive diagnostic assessments at a classroom level. However, its nonparametric nature impedes the obtention of a model likelihood, hindering the exploration of crucial psychometric aspects, such as model fit or reliability. Reporting the reliability and…
Descriptors: Models, Diagnostic Tests, Psychometrics, Cognitive Measurement
Marija Kovacevic; Ivana Zivanovic Macuzic; Jovana Milosavljevic; Tanja Lukovic; Dejan Aleksic; Jagoda Gavrilovic; Milos Milosavljevic; Slobodan Jankovic; Ana Pejcic – Review Journal of Autism and Developmental Disorders, 2023
We conducted meta-analysis in order to determine if there are significant differences in left and right amygdala volume in individuals with autism spectrum disorders (ASD) compared to a control group. Twenty-three studies fulfilled inclusion criteria for our study. Right amygdala volume was significantly larger in ASD patients compared to controls…
Descriptors: Autism Spectrum Disorders, Diagnostic Tests, Brain
Furuya-Kanamori, Luis; Lin, Lifeng; Kostoulas, Polychronis; Clark, Justin; Xu, Chang – Research Synthesis Methods, 2023
Limiting the search date is a common approach utilised in therapeutic/interventional rapid reviews. Yet the accuracy of pooled estimates is unknown when applied to rapid reviews of diagnostic test accuracy studies. Data from all systematic reviews of diagnostic test accuracy studies published in the Cochrane Database of Systematic Reviews, until…
Descriptors: Diagnostic Tests, Accuracy, Meta Analysis, Item Banks
Ní Ghrálaigh, Fiana; McCarthy, Ellen; Murphy, Daniel N.; Gallagher, Louise; Lopez, Lorna M. – Journal of Autism and Developmental Disorders, 2023
Autism is a prevalent neurodevelopmental condition, highly heterogenous in both genotype and phenotype. This communication adds to existing discussion of the heterogeneity of clinical sequencing tests, "gene panels", marketed for application in autism. We evaluate the clinical utility of available gene panels based on existing genetic…
Descriptors: Autism Spectrum Disorders, Genetics, Diagnostic Tests, Usability
A Two-Tier Multiple-Choice Diagnostic Test to Find Student Misconceptions about the Change of Matter
Download full textRita Arfi Astuti Ningroom; Sri Yamtinah; Riyadi – Journal of Education and Learning (EduLearn), 2025
There are a lot of very interesting scientific concepts to learn in natural and social science. The initial concepts that the student possesses may contradict the actual concepts, which is what causes misconceptions. Misconceptions are identified using misconception detection test tools. In fact, the development of the use of diagnostic test…
Descriptors: Foreign Countries, Test Construction, Diagnostic Tests, Multiple Choice Tests
Uchenna Ezedinma; Evan Jones; Alexander Ring; Spencer Miller; Andrew Ladhams; Shauna Fjaagesund; Terri Downer; Gary Campbell; Florin Oprescu – Autism: The International Journal of Research and Practice, 2025
Anecdotal reports link a distinct, bilateral, parieto-temporally generated 4.5-Hz rhythm on an electroencephalogram to a methylenetetrahydrofolate reductase gene variant co-occurring in autism spectrum disorder, but the validation of its precision is needed. The electroencephalograms of children with autism spectrum disorder showing the distinct…
Descriptors: Autism Spectrum Disorders, Genetic Disorders, Children, Preadolescents
Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Kentaro Fukushima; Nao Uchida; Kensuke Okada – Journal of Educational and Behavioral Statistics, 2025
Diagnostic tests are typically administered in a multiple-choice (MC) format due to their advantages of objectivity and time efficiency. The MC-deterministic input, noisy "and" gate (DINA) family of models, a representative class of cognitive diagnostic models for MC items, efficiently and parsimoniously estimates the mastery profiles of…
Descriptors: Diagnostic Tests, Cognitive Measurement, Multiple Choice Tests, Educational Assessment
Taylor D. Snodgrass; Jamie L. Perry; Xiangming Fang; Dennis M. Ruscello – Communication Disorders Quarterly, 2025
The purpose of the study was to investigate velopharyngeal timing in children with and without speech sound disorders (SSDs) of unknown etiology. Six U.S. preschool-age children participated in the investigation. Three of the children had typically developing speech and language and three had SSDs of unknown etiology. Aerodynamic testing of the…
Descriptors: Language Impairments, Communication Disorders, Articulation Impairments, Preschool Children
Evelyn B. N. Friedel; Ludger Tebartz van Elst; Mirjam Schäfer; Simon Maier; Kimon Runge; Sebastian Küchlin; Michael Reich; Wolf A. Lagrèze; Jürgen Kornmeier; Dieter Ebert; Dominique Endres; Katharina Domschke; Kathrin Nickel – Journal of Autism and Developmental Disorders, 2024
Since the retina shares its embryological origin with the central nervous system, optical coherence tomography (OCT), an imaging technique frequently employed in ophthalmology to analyze the macula and intraretinal layer thicknesses and volumes, has recently become increasingly important in psychiatric research. We examined 34 autistic and 31…
Descriptors: Human Body, Autism Spectrum Disorders, Adults, Severity (of Disability)
Deni Ainur Rokhim; Hayuni Retno Widarti; Sutrisno – Pegem Journal of Education and Instruction, 2024
This study aims to determine the need for multitiered diagnostic instruments to identify misconceptions and their causes, as well as multi-representational profiles in chemistry lessons starting from grade 10 in the initial to the final material for grade 12. The data analysis technique used in this research is descriptive, namely descriptive…
Descriptors: Needs, High School Students, Chemistry, Misconceptions
Ferdinand Valentin Stoye; Claudia Tschammler; Oliver Kuss; Annika Hoyer – Research Synthesis Methods, 2024
The development of new statistical models for the meta-analysis of diagnostic test accuracy studies is still an ongoing field of research, especially with respect to summary receiver operating characteristic (ROC) curves. In the recently published updated version of the "Cochrane Handbook for Systematic Reviews of Diagnostic Test…
Descriptors: Diagnostic Tests, Accuracy, Barriers, Models
Wenchao Ma; Miguel A. Sorrel; Xiaoming Zhai; Yuan Ge – Journal of Educational Measurement, 2024
Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual-purpose model for simultaneously estimating students' overall ability and the presence and absence of…
Descriptors: Models, Misconceptions, Diagnostic Tests, Ability
Leah Ward; Kamila Polišenská; Colin Bannard – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This systematic review and multilevel meta-analysis examines the accuracy of sentence repetition (SR) tasks in distinguishing between typically developing (TD) children and children with developmental language disorder (DLD). It explores variation in the way that SR tasks are administered and/or evaluated and examines whether variability…
Descriptors: Children, Language Impairments, Repetition, Sentences
