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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
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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
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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
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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
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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
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Fiel, Jeremy E. – Sociology of Education, 2020
A long-standing consensus among sociologists holds that educational attainment has an equalizing effect that increases mobility by moderating other avenues of intergenerational status transmission. This study argues that the evidence supporting this consensus may be distorted by two problems: measurement error in parents' socioeconomic standing…
Descriptors: Educational Attainment, Social Mobility, Family Income, Longitudinal Studies
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von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
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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
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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
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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
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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
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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
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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
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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
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Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A latent variable modeling method for studying measurement invariance when evaluating latent constructs with multiple binary or binary scored items with no guessing is outlined. The approach extends the continuous indicator procedure described by Raykov and colleagues, utilizes similarly the false discovery rate approach to multiple testing, and…
Descriptors: Models, Statistical Analysis, Error of Measurement, Test Bias
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