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Lee, Won-Chan; Kim, Stella Y.; Choi, Jiwon; Kang, Yujin – Journal of Educational Measurement, 2020
This article considers psychometric properties of composite raw scores and transformed scale scores on mixed-format tests that consist of a mixture of multiple-choice and free-response items. Test scores on several mixed-format tests are evaluated with respect to conditional and overall standard errors of measurement, score reliability, and…
Descriptors: Raw Scores, Item Response Theory, Test Format, Multiple Choice Tests
Kopp, Jason P.; Jones, Andrew T. – Applied Measurement in Education, 2020
Traditional psychometric guidelines suggest that at least several hundred respondents are needed to obtain accurate parameter estimates under the Rasch model. However, recent research indicates that Rasch equating results in accurate parameter estimates with sample sizes as small as 25. Item parameter drift under the Rasch model has been…
Descriptors: Item Response Theory, Psychometrics, Sample Size, Sampling
Ippel, Lianne; Magis, David – Educational and Psychological Measurement, 2020
In dichotomous item response theory (IRT) framework, the asymptotic standard error (ASE) is the most common statistic to evaluate the precision of various ability estimators. Easy-to-use ASE formulas are readily available; however, the accuracy of some of these formulas was recently questioned and new ASE formulas were derived from a general…
Descriptors: Item Response Theory, Error of Measurement, Accuracy, Standards
Factor Structure and Psychometric Properties of the Digital Stress Scale in a Chinese College Sample
Chunlei Gao; Mingqing Jian; Ailin Yuan – SAGE Open, 2024
The Digital Stress Scale (DSS) is used to measure digital stress, which is the perceived stress and anxiety associated with social media use. In this study, the Chinese version of the DSS was validated using a sample of 721 Chinese college students, 321 males and 400 females (KMO = 0.923; Bartlett = 5,058.492, p < 0.001). Confirmatory factor…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Anxiety
Radu Bogdan Toma – Journal of Early Adolescence, 2024
The Expectancy-Value model has been extensively used to understand students' achievement motivation. However, recent studies propose the inclusion of cost as a separate construct from values, leading to the development of the Expectancy-Value-Cost model. This study aimed to adapt Kosovich et al.'s ("The Journal of Early Adolescence", 35,…
Descriptors: Student Motivation, Student Attitudes, Academic Achievement, Mathematics Achievement
Berchtold, André – International Journal of Social Research Methodology, 2019
Most quantitative studies in the social sciences suffer from missing data. However, despite the large availability of documents and software to treat such data, it appears that many social scientists do not apply good practices regarding missing data. We analyzed quantitative papers published in 2017 in six top-level social science journals.…
Descriptors: Research Problems, Research Methodology, Social Science Research, Data Analysis
Lai, Mark H. C. – Journal of Educational and Behavioral Statistics, 2019
Previous studies have detailed the consequence of ignoring a level of clustering in multilevel models with straightly hierarchical structures and have proposed methods to adjust for the fixed effect standard errors (SEs). However, in behavioral and social science research, there are usually two or more crossed clustering levels, such as when…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Least Squares Statistics, Statistical Bias
Sheng, Yanyan – Measurement: Interdisciplinary Research and Perspectives, 2019
Classical approach to test theory has been the foundation for educational and psychological measurement for over 90 years. This approach concerns with measurement error and hence test reliability, which in part relies on individual test items. The CTT package, developed in light of this, provides functions for test- and item-level analyses of…
Descriptors: Item Response Theory, Test Reliability, Item Analysis, Error of Measurement
Van Norman, Ethan R.; Klingbeil, David A.; McLendon, Katherine E. – Remedial and Special Education, 2019
Researchers and practitioners frequently use curriculum-based measures of reading (CBM-R) within single-case design (SCD) frameworks to evaluate the effects of reading interventions with individual students. Effect sizes (ESs) developed specifically for SCDs are often used as a supplement to visual analysis to gauge treatment effects. The degree…
Descriptors: Oral Reading, Error of Measurement, Progress Monitoring, Effect Size
Joo, Seang-Hwane; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2019
Multilevel modeling has been utilized for combining single-case experimental design (SCED) data assuming simple level-1 error structures. The purpose of this study is to compare various multilevel analysis approaches for handling potential complexity in the level-1 error structure within SCED data, including approaches assuming simple and complex…
Descriptors: Hierarchical Linear Modeling, Synthesis, Data Analysis, Accuracy
Silber, Henning; Danner, Daniel; Rammstedt, Beatrice – International Journal of Social Research Methodology, 2019
This study aims to assess whether respondent inattentiveness causes systematic and unsystematic measurement error that influences survey data quality. To determine the impact of (in)attentiveness on the reliability and validity of target measures, we compared respondents from a German online survey (N = 5205) who had passed two attention checks…
Descriptors: Foreign Countries, Test Validity, Test Reliability, Attention
Crouch, Luis; Olefir, Anna; Saeki, Hiroshi; Savrimootoo, Tanya – Prospects, 2022
This article is the fourth in a series arguing that there is serious mismeasurement of enrolment in early childhood development (ECD) and in the early grades of education systems in many countries, especially, and most damagingly, in those making the most progress on access to schooling and in the sustainable development goals. Other reports have…
Descriptors: Enrollment, Early Childhood Education, Grade Repetition, Developing Nations
El Hadi, M.; Ouariach, A.; Essaadaoui, R.; El Moussaouy, A.; Mommadi, O. – Physics Education, 2021
In this work, we have developed an alternative device composed by an Arduino board and an INA219 sensor to experimentally obtain the mathematical formulas describing the charge and discharge of the capacitor for educational proposes. We have obtained excellent agreement between theoretical prediction and experimental measurements. The INA219 DC…
Descriptors: Physics, Science Instruction, Accuracy, Reliability
Jing Sun; Laura M. Justice; Ye Shen; Hui Jiang; Hugo Gonzalez Villasanti; Mary Beth Schmitt – Grantee Submission, 2024
Purpose: The purpose of this study was to examine the measurement structure of the linguistic features of speech-language pathologists' (SLPs) talk during business-as-usual therapy sessions in the public schools, and to test the longitudinal stability of a theorized dimensional structure consisting of quantity, grammatical complexity, and lexical…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Longitudinal Studies
Rujun Xu; James Soland – International Journal of Testing, 2024
International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…
Descriptors: Surveys, Statistical Bias, Achievement Tests, Foreign Countries

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