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Stefanie A. Wind; Benjamin Lugu – Applied Measurement in Education, 2024
Researchers who use measurement models for evaluation purposes often select models with stringent requirements, such as Rasch models, which are parametric. Mokken Scale Analysis (MSA) offers a theory-driven nonparametric modeling approach that may be more appropriate for some measurement applications. Researchers have discussed using MSA as a…
Descriptors: Item Response Theory, Data Analysis, Simulation, Nonparametric Statistics
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Suleyman Alpaslan Sulak; Nigmet Koklu – European Journal of Education, 2024
This study employs advanced data mining techniques to investigate the DASS-42 questionnaire, a widely used psychological assessment tool. Administered to 680 students at Necmettin Erbakan University's Ahmet Kelesoglu Faculty of Education, the DASS-42 comprises three distinct subscales--depression, anxiety and stress--each consisting of 14 items.…
Descriptors: Foreign Countries, Algorithms, Information Retrieval, Data Analysis
Watkins, Correy; Hornak, Rebekah – State Implementation and Scaling-up of Evidence-based Practices Center, 2022
Fidelity is defined as doing what is intended. The purpose of measuring fidelity is to assist with supporting implementation. Collecting fidelity data provides an opportunity to problem-solve throughout the process versus waiting for outcome data. More often than not, purchased programs and curriculum materials are missing a research-validated…
Descriptors: Fidelity, Program Implementation, Evaluation Methods, Observation
Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
Emily C. Hanno; Ximena A. Portilla; JoAnn Hsueh – Child Development Perspectives, 2025
In this article, we adopt culturally relevant perspectives on developmental science that acknowledge and value the diversity of backgrounds and experiences of young children and their families to identify opportunities to advance the measurement of early childhood development. We focus on direct child assessments that can drive more equitable…
Descriptors: Young Children, Child Development, Equal Education, Evaluation Methods
Beach, J. M. – Rowman & Littlefield Publishers, 2021
This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…
Descriptors: Accountability, Higher Education, Educational Policy, Measurement Techniques
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
Couland, Quentin; Hamon, Ludovic; George, Sébastien – International Association for Development of the Information Society, 2018
More and more domains such as industry, sport, medicine, Human Computer Interaction (HCI) and education analyze user motions to observe human behavior, follow and predict its action, intention and emotion, to interact with computer systems and enhance user experience in Virtual (VR) and Augmented Reality (AR). In the context of human learning of…
Descriptors: Motion, Teaching Methods, Human Posture, Data Collection
Boon, Michele Hilton; Thomson, Hilary – Research Synthesis Methods, 2021
Effect direction (evidence to indicate improvement, deterioration, or no change in an outcome) can be used as a standardized metric which enables the synthesis of diverse effect measures in systematic reviews. The effect direction (ED) plot was developed to support the synthesis and visualization of effect direction data. Methods for the ED plot…
Descriptors: Visualization, Data Analysis, Measurement Techniques, Guidance
Setiawan, Risky – European Journal of Educational Research, 2019
The purposes of this research are: 1) to compare two equalizing tests conducted with Hebara and Stocking Lord method; 2) to describe the characteristics of each equalizing test method using windows' IRTEQ program. This research employs a participatory approach as the data are collected through questionnaires based on the National Examination…
Descriptors: Equated Scores, Evaluation Methods, Evaluation Criteria, Test Items
Ahmadi, Reza; Saiki, Diana – Journal of Family and Consumer Sciences, 2017
Teachers are not always aware of how the classroom design influences teaching, particularly in many family and consumer sciences (FCS) classes that require studio space, such as apparel and interior design classes. The purpose of this paper is to introduce strategies to assess studio spaces that are designed for enhancement of student learning.…
Descriptors: Educational Strategies, Consumer Science, Classroom Design, Interior Design
Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
Mott, Rebecca – Journal of Extension, 2018
With today's technology, Extension professionals have a variety of tools available for program evaluation. This article describes an innovative platform called VoiceThread that has been used in many classrooms but also is useful for conducting virtual focus group research. I explain how this tool can be used to collect qualitative participant…
Descriptors: Program Evaluation, Evaluation Methods, Extension Education, Qualitative Research
LiBetti, Ashley; Schiess, Jennifer – Bellwether Education Partners, 2020
In Spring 2020, National Association of Charter School Authorizers (NACSA) convened a working group of authorizers and other stakeholders to learn more about the challenges they faced, given the data gaps caused by COVID-19, and to ask what guidance was needed for the sector to adapt to these unusual circumstances. Based on their feedback and…
Descriptors: Educational Quality, Measurement Techniques, Educational Indicators, Data Collection

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