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Direct linkNeitzel, Jennifer; Early, Diane; Sideris, John; LaForrett, Doré; Abel, Michael B.; Soli, Margaret; Davidson, Dawn L.; Haboush-Deloye, Amanda; Hestenes, Linda L.; Jenson, Denise; Johnson, Cindy; Kalas, Jennifer; Mamrak, Angela; Masterson, Marie L.; Mims, Sharon U.; Oya, Patti; Philson, Bobbi; Showalter, Megan; Warner-Richter, Mallory; Kortright Wood, Jill – Journal of Early Childhood Research, 2019
The Early Childhood Environment Rating Scales, including the "Early Childhood Environment Rating Scale--Revised" (Harms et al., 2005) and the "Early Childhood Environment Rating Scale, Third Edition" (Harms et al., 2015) are the most widely used observational assessments in early childhood learning environments. The most recent…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Scoring
Bundsgaard, Jeppe – Large-scale Assessments in Education, 2019
International large-scale assessments like international computer and information literacy study (ICILS) (Fraillon et al. in International Association for the Evaluation of Educational Achievement (IEA), 2015) provide important empirically-based knowledge through the proficiency scales, of what characterizes tasks at different difficulty levels,…
Descriptors: Test Bias, International Assessment, Test Items, Difficulty Level
Maseko, Jeremiah; Luneta, Kakoma; Long, Caroline – Pythagoras, 2019
The rational number knowledge of student teachers, in particular the equivalence of fractions, decimals, and percentages, and their comparison and ordering, is the focus of this article. An instrument comprising multiple choice, short answer and constructed response formats was designed to test conceptual and procedural understanding. Application…
Descriptors: Mathematics Instruction, Number Concepts, Test Validity, Models
Peabody, Michael R.; Wind, Stefanie A. – Journal of Educational Measurement, 2019
Setting performance standards is a judgmental process involving human opinions and values as well as technical and empirical considerations. Although all cut score decisions are by nature somewhat arbitrary, they should not be capricious. Judges selected for standard-setting panels should have the proper qualifications to make the judgments asked…
Descriptors: Standard Setting, Decision Making, Performance Based Assessment, Evaluators
A Hybrid Approach for Automatic Generation of Named Entity Distractors for Multiple Choice Questions
Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
Wu, Qian; De Laet, Tinne; Janssen, Rianne – Journal of Educational Measurement, 2019
Single-best answers to multiple-choice items are commonly dichotomized into correct and incorrect responses, and modeled using either a dichotomous item response theory (IRT) model or a polytomous one if differences among all response options are to be retained. The current study presents an alternative IRT-based modeling approach to…
Descriptors: Multiple Choice Tests, Item Response Theory, Test Items, Responses
Winchip, Emily; Stevenson, Howard; Milner, Alison – Educational Review, 2019
As the Global Education Reform Movement (GERM) spreads, key questions that attempt to identify both the nature and the increasing scope and scale of this phenomenon become empirically significant. The concern of this article is to highlight some of the complexities of measuring one key element of the GERM: the privatisation of public education…
Descriptors: Privatization, Foreign Countries, Item Response Theory, Probability
Care, Esther; Vista, Alvin; Kim, Helyn – UNESCO Bangkok, 2019
UNESCO's Asia-Pacific Regional Bureau for Education has been working on education quality under the name of 'transversal competencies' (TVC) since 2013. Many of these competencies have been included in national education policy and curricula of countries in the region, but now the importance accorded them is increasingly gaining attention. As…
Descriptors: Foreign Countries, Educational Quality, 21st Century Skills, Competence
Nazaretsky, Tanya; Hershkovitz, Sara; Alexandron, Giora – International Educational Data Mining Society, 2019
Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…
Descriptors: Intelligent Tutoring Systems, Item Response Theory, Measurement, Testing
Tom Bramley; Victoria Crisp; Stuart Shaw – Research Matters, 2019
In the traditional approach to constructing a GCSE or A Level examination paper, a single person writes the whole paper. In some other contexts, tests are constructed by selecting questions from a bank of questions. In this research, we asked experts to evaluate the quality of Physics exam papers constructed in the traditional way, constructed by…
Descriptors: Physics, Science Tests, Science Instruction, Test Construction
Sen, Sedat; Terzi, Ragip; Yildirim, Ibrahim; Cohen, Allan S. – Turkish Journal of Education, 2018
The purpose of this study was to examine the effect of equated and non-equated data on value-added assessment analyses. Several models have been proposed in the literature to apply the value-added assessment approach. This study compared two different value-added models: the unadjusted hierarchical linear model and the generalized persistence…
Descriptors: Equated Scores, Value Added Models, Hierarchical Linear Modeling, Persistence
Atalmis, Erkan Hasan; Kingston, Neal Martin – SAGE Open, 2018
This study explored the impact of homogeneity of answer choices on item difficulty and discrimination. Twenty-two matched pairs of elementary and secondary mathematics items were administered to randomly equivalent samples of students. Each item pair comparison was treated as a separate study with the set of effect sizes analyzed using…
Descriptors: Test Items, Difficulty Level, Multiple Choice Tests, Mathematics Tests
Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2018
This study examined the use of Bayesian analysis methods for the estimation of item parameters in a two-parameter logistic item response theory model. Using simulated data under various design conditions with both informative and non-informative priors, the parameter recovery of Bayesian analysis methods were examined. Overall results showed that…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Difficulty Level
Sunbul, Onder; Yormaz, Seha – International Journal of Evaluation and Research in Education, 2018
In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…
Descriptors: Difficulty Level, Cheating, Duplication, Test Length
Sünbül, Seçil Ömür – International Journal of Evaluation and Research in Education, 2018
In this study, it was aimed to investigate the impact of different missing data handling methods on DINA model parameter estimation and classification accuracy. In the study, simulated data were used and the data were generated by manipulating the number of items and sample size. In the generated data, two different missing data mechanisms…
Descriptors: Data, Test Items, Sample Size, Statistical Analysis
