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Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
This article is based on my 2023 NCME Presidential Address, where I talked a bit about my journey into the profession, and more substantively about comparable scores. Specifically, I discussed some of the different ways 'comparable scores' are defined, highlighted some areas I think we as a profession need to pay more attention to when considering…
Descriptors: Scores, Comparative Analysis, Speeches, Career Development
Ian Jones; Ben Davies – International Journal of Research & Method in Education, 2024
Educational researchers often need to construct precise and reliable measurement scales of complex and varied representations such as participants' written work, videoed lesson segments and policy documents. Developing such scales using can be resource-intensive and time-consuming, and the outcomes are not always reliable. Here we present…
Descriptors: Educational Research, Comparative Analysis, Educational Researchers, Measurement
Bruno Arpino; Silvia Bacci; Leonardo Grilli; Raffaele Guetto; Carla Rampichini – Evaluation Review, 2025
We consider estimating the effect of a treatment on a given outcome measured on subjects tested both before and after treatment assignment in observational studies. A vast literature compares the competing approaches of modelling the post-test score conditionally on the pre-test score versus modelling the difference, namely, the gain score. Our…
Descriptors: Scores, Pretesting, Conditioning, Achievement Gains
Timothy J. Wood; Vijay J. Daniels; Debra Pugh; Claire Touchie; Samantha Halman; Susan Humphrey-Murto – Advances in Health Sciences Education, 2024
First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…
Descriptors: Evaluators, Work Environment, Decision Making, Video Technology
André Beauducel; Norbert Hilger; Tobias Kuhl – Educational and Psychological Measurement, 2024
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor…
Descriptors: Scores, Factor Analysis, Correlation, Predictor Variables
Umut Atasever; John Jerrim; Sabine Tieck – Educational Assessment, Evaluation and Accountability, 2024
Cross-national comparisons of educational achievement rely upon each participating country collecting nationally representative data. While obtaining high response rates is a key part of reaching this goal, other potentially important factors may also be at play. This paper focuses on one such issue--exclusion rates--which has received relatively…
Descriptors: International Assessment, Comparative Analysis, Cross Cultural Studies, Research Problems
Lucy Chambers; Emma Walland; Jo Ireland – Research Matters, 2024
Comparative Judgement (CJ) is traditionally and primarily used to compare written texts. In this study we explored whether we could extend its use to comparing audio files. We used GCSE Music portfolios which contained a mix of audio recordings, musical scores and text documents. Fifteen judges completed two exercises: one comparing musical…
Descriptors: Evaluative Thinking, Judges, Comparative Analysis, Reliability
Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
Magarotto Machado, Gisele; Hauck-Filho, Nelson; Lima-Costa, Ariela Raissa; Carvalho, Lucas de Francisco – International Journal of Testing, 2023
In the current study, we used latent profile analysis to investigate the Dimensional Clinical Personality Inventory 2 capacity to discriminate psychopathy traits in a sample of adults. Participants were 628 adults from the general population recruited by convenience. Our latent profile analysis recovered two groups: Psychopathic Tendencies and…
Descriptors: Adults, Psychopathology, Empathy, Comparative Analysis
Hamed Ghaemi; Zahra Khorsand – African Educational Research Journal, 2024
This study delves into writing scores in both tests, aiming to uncover the reasons behind score differences. Through comprehensive comparative analysis, this research explores scoring patterns, criteria, and score distributions in IELTS and PTE writing sections. It investigates sources of score variation, including task design, rating criteria,…
Descriptors: Comparative Analysis, Scores, Language Tests, Second Language Learning
Demir, Suleyman – International Journal of Assessment Tools in Education, 2022
This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively. To this end, firstly, simulative data were produced using the MATLAB program for different skewness/kurtosis coefficients and different sample sizes. The normality analysis…
Descriptors: Sample Size, Comparative Analysis, Computer Software, Evaluation Methods
Teguh Yuliandri Putra; Vismaia S. Damaianti; Yeti Mulyati; Andoyo Sastromihardjo; Suhartini Sumadi – International Journal of Language Education, 2024
This research aims to determine the effect of the independent learning model assisted by plasticine media as a way to improve students' abilities in basic reading and writing so that it has an impact on elementary school students' phonemic awareness. The method used in this research is an experimental method with a comparison design of one group…
Descriptors: Literacy Education, Alphabets, Scores, Independent Study
Claudio, David; Bakke, Morten – Education and Information Technologies, 2023
This research explores the effects of listening to music during exams for engineering college students. Students were given the option to listen to self-selected music while completing exams in three undergraduate engineering courses over four years. It was found that listening to music during an exam had no significant effect on the mean exam…
Descriptors: Music, Listening, Equal Education, Scores
Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education