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Gulsah Gurkan – ProQuest LLC, 2021
Secondary analyses of international large-scale assessments (ILSA) commonly characterize relationships between variables of interest using correlations. However, the accuracy of correlation estimates is impaired by artefacts such as measurement error and clustering. Despite advancements in methodology, conventional correlation estimates or…
Descriptors: Secondary School Students, Achievement Tests, International Assessment, Foreign Countries
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Sata, Mehmet; Karakaya, Ismail – International Journal of Assessment Tools in Education, 2022
In the process of measuring and assessing high-level cognitive skills, interference of rater errors in measurements brings about a constant concern and low objectivity. The main purpose of this study was to investigate the impact of rater training on rater errors in the process of assessing individual performance. The study was conducted with a…
Descriptors: Evaluators, Training, Comparative Analysis, Academic Language
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Putman, S. Michael; Wang, Chuang; Rickelman, Bob; Crossley, Antony; Mittag, Waldemar – Education and Information Technologies, 2020
Competent use of the Internet to locate information is an important skill for today's youth. Yet, many lack the knowledge and dispositions to engage in the processes necessary to effectively and efficiently find information on the Internet. As a result, various countries have incorporated references to the processes of online inquiry within their…
Descriptors: Inquiry, Online Searching, International Assessment, Academic Standards
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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2020
This study presents new models for item response functions (IRFs) in the framework of the D-scoring method (DSM) that is gaining attention in the field of educational and psychological measurement and largescale assessments. In a previous work on DSM, the IRFs of binary items were estimated using a logistic regression model (LRM). However, the LRM…
Descriptors: Item Response Theory, Scoring, True Scores, Scaling
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Selvi, Hüseyin; Alici, Devrim; Uzun, Nezaket Bilge – Asian Journal of Education and Training, 2020
This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…
Descriptors: Error of Measurement, Structural Equation Models, Attitude Measures, Student Attitudes
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Jeffry White – Journal of Educational Research and Practice, 2024
Violations of normality and homogeneity are common in educational data. When this occurs, the use of parametric statistics may be inappropriate. A generalized form of nonparametric analyses based on the Puri and Sen L statistic provides an alternative approach. Using a chi-square distribution, this technique is easy to apply and has significant…
Descriptors: Nonparametric Statistics, Learning Analytics, Evaluation Methods, Guidance
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Lions, Séverin; Dartnell, Pablo; Toledo, Gabriela; Godoy, María Inés; Córdova, Nora; Jiménez, Daniela; Lemarié, Julie – Educational and Psychological Measurement, 2023
Even though the impact of the position of response options on answers to multiple-choice items has been investigated for decades, it remains debated. Research on this topic is inconclusive, perhaps because too few studies have obtained experimental data from large-sized samples in a real-world context and have manipulated the position of both…
Descriptors: Multiple Choice Tests, Test Items, Item Analysis, Responses
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Stensen, Kenneth; Lydersen, Stian; Ranøyen, Ingunn; Klöckner, Christian A.; Buøen, Elisabet S.; Lekhal, Ratib; Drugli, May Britt – Journal of Psychoeducational Assessment, 2023
The Student-Teacher Relationship Scale-Short Form (STRS-SF) is one of the most frequently used instruments globally to measure professional caregivers' perceptions of the relationship quality with a specific child. However, its psychometric properties for children younger than 3 years of age enrolled in early childhood education and care (ECEC)…
Descriptors: Foreign Countries, Teacher Student Relationship, Teacher Attitudes, Psychometrics
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Cartwright, Nancy – Educational Research and Evaluation, 2019
Across the evidence-based policy and practice (EBPP) community, including education, randomised controlled trials (RCTS) rank as the most "rigorous" evidence for causal conclusions. This paper argues that that is misleading. Only narrow conclusions about study populations can be warranted with the kind of "rigour" that RCTs…
Descriptors: Evidence Based Practice, Educational Policy, Randomized Controlled Trials, Error of Measurement
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Perea Martins, J. E. M. – Physics Education, 2019
This work proposes simple experiments to introduce some fundamental concepts of the measurement area. It associates theory and practice through a strategy where the students create a real temperature data set with an Arduino board and three LM35DZ sensors and later use mathematical software to identify theoretical concepts as measurement accuracy…
Descriptors: Scientific Concepts, Accuracy, Climate, Science Experiments
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Purc, Ewelina; Laguna, Mariola – Journal of Creative Behavior, 2019
The article presents an analysis of the factorial structure and measurement invariance of the Innovative Behavior Questionnaire, developed by Scott and Bruce. Although the instrument is widely used to capture individuals' innovative behavior, very little evidence concerning its psychometric properties is available. A time-lagged study among 382…
Descriptors: Innovation, Creativity, Questionnaires, Factor Structure
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White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
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Litwok, Daniel; Peck, Laura R. – American Journal of Evaluation, 2019
In experimental evaluations of policy interventions, the so-called Bloom adjustment is commonly used to estimate the impact of the treatment on the treated. It does so by rescaling the estimated impact of the intention to treat--that is, the overall treatment-control group difference in outcomes for the entire experimental sample--by the…
Descriptors: Computation, Outcomes of Treatment, Program Evaluation, Scaling
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Patton, Jeffrey M.; Cheng, Ying; Hong, Maxwell; Diao, Qi – Journal of Educational and Behavioral Statistics, 2019
In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…
Descriptors: Test Items, Response Style (Tests), Identification, Computation
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Hopster-den Otter, Dorien; Muilenburg, Selia N.; Wools, Saskia; Veldkamp, Bernard P.; Eggen, Theo J. H. M. – Assessment in Education: Principles, Policy & Practice, 2019
This study investigated (1) the extent to which presentations of measurement error in score reports influence teachers' decisions and (2) teachers' preferences in relation to these presentations. Three presentation formats of measurement error (blur, colour value and error bar) were compared to a presentation format that omitted measurement error.…
Descriptors: Error of Measurement, Scores, Decision Making, Teacher Attitudes
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