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Showing 1 to 15 of 35 results Save | Export
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Sarah Staveteig Ford; Matthew Kirwin – International Journal of Social Research Methodology, 2023
International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This…
Descriptors: Accuracy, Sampling, Elections, Census Figures
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Rüttenauer, Tobias – Sociological Methods & Research, 2022
Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet, several model specifications can be used, all assuming different types of spatial dependence. This study summarizes the most commonly used spatial regression models and offers a comparison of their performance by using Monte Carlo experiments. In…
Descriptors: Models, Monte Carlo Methods, Social Science Research, Data Analysis
Benton, Tom – Research Matters, 2020
This article reviews the evidence on the extent to which experts' perceptions of item difficulties, captured using comparative judgement, can predict empirical item difficulties. This evidence is drawn from existing published studies on this topic and also from statistical analysis of data held by Cambridge Assessment. Having reviewed the…
Descriptors: Test Items, Difficulty Level, Expertise, Comparative Analysis
Kayyali, Mustafa – Online Submission, 2023
University rankings have a growing impact on how people view the academic excellence of higher education. The complicated relationship between rankings and academic excellence is explored in this essay along with how it may affect higher education policy and practice. The importance of rankings and their influence on institutional decision-making…
Descriptors: Correlation, Reputation, Educational Quality, Institutional Characteristics
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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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Jackowicz, Steve – International Society for Technology, Education, and Science, 2021
There is a long-standing interrelationship between the military and medical spheres in society. Military actions rely on medical services to tend to casualties, and medical advances often come from the pressure of military campaigns that generate large numbers of patients. That interrelationship is a linear one of simple paired interaction.…
Descriptors: Armed Forces, Medicine, Medical Services, Military Personnel
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Monroe, Scott – Journal of Educational and Behavioral Statistics, 2019
In item response theory (IRT) modeling, the Fisher information matrix is used for numerous inferential procedures such as estimating parameter standard errors, constructing test statistics, and facilitating test scoring. In principal, these procedures may be carried out using either the expected information or the observed information. However, in…
Descriptors: Item Response Theory, Error of Measurement, Scoring, Inferences
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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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Brown, Deirdre A.; Lewis, Charlie N.; Lamb, Michael E.; Gwynne, Jessie; Kitto, Oliver; Stairmand, Meghan – Developmental Psychology, 2019
Children often answer questions when they do not have the requisite knowledge or when they do not understand them. We examined whether "ground rules" instruction--to say "I don't know," to tell the truth, and to correct the interviewer when necessary--assisted children in applying those rules during an interview about a past…
Descriptors: Interviews, Comparative Analysis, Mental Age, Predictor Variables
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Liu, Chunyan; Kolen, Michael J. – Journal of Educational Measurement, 2018
Smoothing techniques are designed to improve the accuracy of equating functions. The main purpose of this study is to compare seven model selection strategies for choosing the smoothing parameter (C) for polynomial loglinear presmoothing and one procedure for model selection in cubic spline postsmoothing for mixed-format pseudo tests under the…
Descriptors: Comparative Analysis, Accuracy, Models, Sample Size
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Wright, Daniel B. – Educational Measurement: Issues and Practice, 2019
There is much discussion about and many policies to address achievement gaps in education among groups of students. The focus here is on a different gap and it is argued that it also should be of concern. Speed gaps are differences in how quickly different groups of students answer the questions on academic assessments. To investigate some speed…
Descriptors: Academic Achievement, Achievement Gap, Reaction Time, Educational Testing
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Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
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McCoach, D. Betsy; Rifenbark, Graham G.; Newton, Sarah D.; Li, Xiaoran; Kooken, Janice; Yomtov, Dani; Gambino, Anthony J.; Bellara, Aarti – Journal of Educational and Behavioral Statistics, 2018
This study compared five common multilevel software packages via Monte Carlo simulation: HLM 7, M"plus" 7.4, R (lme4 V1.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation accuracy and speed, as well as convergence, when modeling multiple randomly varying slopes of different magnitudes. Simulated data…
Descriptors: Hierarchical Linear Modeling, Computer Software, Comparative Analysis, Monte Carlo Methods
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Anthony, Aaron M.; Page, Lindsay C.; Seldin, Abigail – Journal of Student Financial Aid, 2016
Large differences often exist between a college's sticker price and net price after accounting for financial aid. Net price calculators (NPCs) were designed to help students more accurately estimate their actual costs to attend a given college. This study assesses the accuracy of information provided by net price calculators. Specifically, we…
Descriptors: Student Financial Aid, Student Costs, Accuracy, Comparative Analysis
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Unnam, Abhishek; Takhar, Rohit; Aggarwal, Varun – International Educational Data Mining Society, 2019
Email has become the most preferred form of business communication. Writing "good" email has become an essential skill required in the industry. "Good" email writing not only facilitates clear communication, but also makes a positive impression on the recipient, whether it be one's colleague or a customer. The aim of this paper…
Descriptors: Grading, Electronic Mail, Feedback (Response), Written Language
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