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Dean, Matthew D. – INFORMS Transactions on Education, 2020
Undergraduate business students, like many other undergraduate majors, are often apprehensive about the quantitative courses required to earn their degree. Active learning methods, including flipped classrooms, have been studied as approaches to mitigate these fears among students. With our overarching goal of helping students improve their…
Descriptors: Undergraduate Students, Business Administration Education, Statistical Analysis, Active Learning
Razavipour, Kioumars; Raji, Behnaz – Language Testing in Asia, 2022
The credibility of conclusions arrived at in quantitative research depends, to a large extent, on the quality of data collection instruments used to quantify language and non-language constructs. Despite this, research into data collection instruments used in Applied Linguistics and particularly in the thesis genre remains limited. This study…
Descriptors: Applied Linguistics, Test Reliability, Language Tests, Credibility
Mazrekaj, Deni; Witte, Kristof De; Triebs, Thomas P. – Exceptional Children, 2022
We propose using Stochastic Frontier Analysis to estimate pupils' academic underachievement. We model underachievement as the gap between expected achievement and actual achievement, not due to a learning disability. Our data are a panel for 2,228 Belgian pupils observed over 6 years of primary education. We found that the average underachievement…
Descriptors: Academic Achievement, Underachievement, Academically Gifted, Class Size
He, Qingping; Meadows, Michelle; Black, Beth – Research Papers in Education, 2022
A potential negative consequence of high-stakes testing is inappropriate test behaviour involving individuals and/or institutions. Inappropriate test behaviour and test collusion can result in aberrant response patterns and anomalous test scores and invalidate the intended interpretation and use of test results. A variety of statistical techniques…
Descriptors: Statistical Analysis, High Stakes Tests, Scores, Response Style (Tests)
Robitzsch, Alexander; Lüdtke, Oliver – Journal of Educational and Behavioral Statistics, 2022
One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance,…
Descriptors: Test Bias, International Assessment, Scaling, Comparative Analysis
Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
Alwarsh, Ahoud A. – ProQuest LLC, 2022
Lean Six Sigma (LSS), which is a strategy that effectively solve problems in the manufacturing and services sectors, is claimed to be a vital strategy that could improve business, solve problems, and upgrade the quality level for education setting. Antony (2014) argues that "higher education institutes (HEI) can deploy both Lean and Six Sigma…
Descriptors: Leadership Styles, Statistical Analysis, Quality Control, Measurement Techniques
Buckley, Jeffrey; Adams, Latif; Aribilola, Ifeoluwapo; Arshad, Iram; Azeem, Muhammad; Bracken, Lauryn; Breheny, Colette; Buckley, Ciara; Chimello, Ismael; Fagan, Alison; Fitzpatrick, Daniel P.; Garza Herrera, Diana; Gomes, Guilherme Daniel; Grassick, Shaun; Halligan, Elaine; Hirway, Amit; Hyland, Tomás; Imtiaz, Muhammad Babar; Khan, Muhammad Bilal; Lanzagorta Garcia, Eduardo; Lennon, Paul; Manaf, Eyman; Meng, Jing; Mohd Sufian, Mohd Sufino Zuhaily; Moraes, Adrielle; Osterwald, Katja Magdalena; Platonava, Anastasia; Reid, Clodagh; Renard, Michèle; Rodriguez-Barroso, Laura G.; Simonassi-Paiva, Bianca; Singh, Maulshree; Szank, Tomasz; Tahir, Mehwish; Vijayakumar, Sowmya; Ward, Cormac; Yan, Xinyu; Zainol, Ismin; Zhang, Lin – International Journal of Technology and Design Education, 2022
A high level of transparency in reported research is critical for several reasons, such as ensuring an acceptable level of trustworthiness and enabling replication. Transparency in qualitative research permits the identification of specific circumstances which are associated with findings and observations. Thus, transparency is important for the…
Descriptors: Technology Education, Educational Research, Research Methodology, Accountability
Lessons Learned from Research Collaboration among People with and without Developmental Disabilities
Kim, Julianna H.; Hughes, Oscar E.; Demissie, Sarah A.; Kunzier, Timothy J.; Cheung, W. Catherine; Monarrez, Edwin C.; Burke, Meghan M.; Rossetti, Zach – Intellectual and Developmental Disabilities, 2022
Research related to the developmental disability (DD) community should include collaboration "with" individuals with DD. Unfortunately, people with DD are infrequently involved in research projects in meaningful ways, and there is little guidance about how to collaborate equitably with researchers with DD. The purpose of this article is…
Descriptors: Developmental Disabilities, Research Methodology, Cooperation, Research
Erciulescu, Andreea; Ren, Weijia; Li, Jianzhu; Mohadjer, Leyla; Fay, Robert – National Center for Education Statistics, 2022
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, International Assessment, Competence, Basic Skills
Ke-Hai Yuan; Yong Wen; Jiashan Tang – Grantee Submission, 2022
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…
Descriptors: Statistical Analysis, Weighted Scores, Least Squares Statistics, Structural Equation Models
Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
Tawil, Muh.; Said, Muhammad Amin; Suryansari, Kemala – International Journal of Education and Practice, 2023
This study aimed to examine authentic models of science assessment in assessing the competence of senior high school students who met the criteria of validity, practicality, and effectiveness. The methodology applied was an evaluation and developmental research. Research was conducted in senior high school in accordance with the needs of the…
Descriptors: Foreign Countries, Performance Based Assessment, Student Evaluation, Science Achievement
Liu, Ivy; Suesse, Thomas; Harvey, Samuel; Gu, Peter Yongqi; Fernández, Daniel; Randal, John – Educational and Psychological Measurement, 2023
The Mantel-Haenszel estimator is one of the most popular techniques for measuring differential item functioning (DIF). A generalization of this estimator is applied to the context of DIF to compare items by taking the covariance of odds ratio estimators between dependent items into account. Unlike the Item Response Theory, the method does not rely…
Descriptors: Test Bias, Computation, Statistical Analysis, Achievement Tests
Kong, Wei; Ni, Shawn – Educational Researcher, 2023
The growing fiscal cost of K-12 teacher pension plans and pension-induced labor market distortions have led to calls for teacher pension reforms. Dynamic structural econometric models are a useful way to analyze the fiscal and staffing consequences of current and alternative retirement plans. This article lays out the benefits of the structural…
Descriptors: Economics, Statistical Analysis, Teacher Retirement, Retirement Benefits