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Davidow, Jason H.; Ye, Jun; Edge, Robin L. – International Journal of Language & Communication Disorders, 2023
Background: Speech-language pathologists often multitask in order to be efficient with their commonly large caseloads. In stuttering assessment, multitasking often involves collecting multiple measures simultaneously. Aims: The present study sought to determine reliability when collecting multiple measures simultaneously versus individually.…
Descriptors: Graduate Students, Measurement, Reliability, Group Activities
Brogan L. Barr; Virginia V. W. McIntosh; Eileen F. Britt; Jennifer Jordan; Janet D. Carter – Measurement: Interdisciplinary Research and Perspectives, 2024
Even when raters demonstrate agreement in the use of a measure, limited score variability or violation of often-ignored statistical assumptions can result in lower reliability estimates than intuitively expected. This article uses data drawn from two randomized controlled trials of schema therapy and cognitive behavioral therapy for the treatment…
Descriptors: Evaluators, Interrater Reliability, Reliability, Measurement Techniques
Zepeda, Sally J.; Jimenez, Albert M. – Journal of Educational Supervision, 2019
Using a newly created teacher evaluation instrument, Inter-rater Reliability (IRR) analyses were conducted on four teacher videos as a means to establish instrument reliability. Raters included 42 principals and assistant principals in a southern US school district. The videos used spanned the teacher quality spectrum and the IRR findings across…
Descriptors: Teacher Evaluation, Interrater Reliability, Classroom Observation Techniques, Validity
Dankiw, Kylie A.; Baldock, Katherine L.; Kumar, Saravana; Tsiros, Margarita D. – Australasian Journal of Early Childhood, 2021
Identifying and describing children's play behaviours is an important component of evaluating child development. The Behaviour Mapping Schedule is a direct observational tool which aims to describe and quantify children's play behaviours but is yet to undergo reliability testing. This study aimed to determine the intra- and inter-rater reliability…
Descriptors: Interrater Reliability, Classification, Child Behavior, Play
Siqi Huang – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
The goal of this paper is twofold. First, the paper clarifies and elaborates on an important theoretical construct called orientation with respect to understanding in mathematics, which denotes the degree to which students exhibit an inclination towards and demonstrate an earnest concern for understanding in mathematical learning. Second, the…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Reliability
Nuñez-Polo, Mercedes H. – Journal of Mental Health Research in Intellectual Disabilities, 2022
Introduction: The aim of this study is to validate a Spanish version of the Impact of Event Scale on People with ID (IES-ID). Methods: IES-ID was administered to adults with ID (n = 120), analyzing internal consistency, inter-rater and test-retest reliability, criterion validity, construct validity and feasibility. Results: Good internal…
Descriptors: Spanish, Translation, Construct Validity, Factor Analysis
Di Rezze, Briano; Gentles, Stephen James; Hidecker, Mary Jo Cooley; Zwaigenbaum, Lonnie; Rosenbaum, Peter; Duku, Eric; Georgiades, Stelios; Roncadin, Caroline; Fang, Hanna; Tajik-Parvinchi, Diana; Viveiros, Helena – Journal of Autism and Developmental Disorders, 2022
The Autism Classification System of Functioning: Social Communication (ACSF) describes social communication functioning levels. First developed for preschoolers with ASD, this study tests an expanded age range (2-to-18 years). The ACFS rates the child's typical and best (i.e., capacity) performance. Qualitative methods tested parent and clinician…
Descriptors: Content Validity, Reliability, Autism Spectrum Disorders, Classification
Li, Wentao – Reading and Writing: An Interdisciplinary Journal, 2022
Scoring rubrics are known to be effective for assessing writing for both testing and classroom teaching purposes. How raters interpret the descriptors in a rubric can significantly impact the subsequent final score, and further, the descriptors may also color a rater's judgment of a student's writing quality. Little is known, however, about how…
Descriptors: Scoring Rubrics, Interrater Reliability, Writing Evaluation, Teaching Methods
Liu, Yilan; Lee, Sue Ann S.; Chen, Wenjun – Journal of Speech, Language, and Hearing Research, 2022
Introduction: Assessment of resonance characteristics is essential in research and clinical practice in individuals with velopharyngeal impairment. The purpose of this study was to systematically review correlations between auditory perceptual ratings and nasalance scores obtained by a nasometer in individuals with resonance disorders and to…
Descriptors: Correlation, Auditory Perception, Meta Analysis, Guidelines
Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
Park, Yeonggwang; Cádiz, Manuel Díaz; Nagle, Kathleen F.; Stepp, Cara E. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Assessment of strained voice quality is difficult due to the weak reliability of auditory-perceptual evaluation and lack of strong acoustic correlates. This study evaluated the contributions of relative fundamental frequency (RFF) and mid-to-high frequency noise to the perception of strain. Method: Stimuli were created using recordings of…
Descriptors: Acoustics, Audio Equipment, Auditory Perception, Correlation
Kinnear, George; Bennett, Max; Binnie, Rachel; Bolt, Róisín; Zheng, Yinglan – Teaching Mathematics and Its Applications, 2020
The MATH taxonomy classifies questions according to the mathematical skills required to answer them. It was created to aid the development of more balanced assessments in undergraduate mathematics and has since been used to compare different assessment regimes across school and university. To date, there has been no systematic investigation of the…
Descriptors: Taxonomy, Mathematics Instruction, Teaching Methods, Reliability
Fritz, Ronda; Harn, Beth; Biancarosa, Gina; Lucero, Audrey; Flannery, K. Brigid – Assessment for Effective Intervention, 2019
This study investigated the use of brief observations to measure implementation of small group interventions using the Quality of Intervention Delivery and Receipt (QIDR) tool. Videos of 10-min segments representing the beginning, middle, and end of each 30-min intervention lesson were coded for implementation. Results indicated that (a)…
Descriptors: Intervention, Program Implementation, Efficiency, Observation
Jönsson, Anders; Balan, Andreia – Practical Assessment, Research & Evaluation, 2018
Research on teachers' grading has shown that there is great variability among teachers regarding both the process and product of grading, resulting in low comparability and issues of inequality when using grades for selection purposes. Despite this situation, not much is known about the merits or disadvantages of different models for grading. In…
Descriptors: Grading, Models, Reliability, Validity
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making

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