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Direct linkHe, 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
Download full textErciulescu, 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
Tang, Xiaodan; Karabatsos, George; Chen, Haiqin – Applied Measurement in Education, 2020
In applications of item response theory (IRT) models, it is known that empirical violations of the local independence (LI) assumption can significantly bias parameter estimates. To address this issue, we propose a threshold-autoregressive item response theory (TAR-IRT) model that additionally accounts for order dependence among the item responses…
Descriptors: Item Response Theory, Test Items, Models, Computation
Wang, Xi; Liu, Yang – Journal of Educational and Behavioral Statistics, 2020
In continuous testing programs, some items are repeatedly used across test administrations, and statistical methods are often used to evaluate whether items become compromised due to examinees' preknowledge. In this study, we proposed a residual method to detect compromised items when a test can be partitioned into two subsets of items: secure…
Descriptors: Test Items, Information Security, Error of Measurement, Cheating
Norouzian, Reza – Studies in Second Language Acquisition, 2020
Researchers are traditionally advised to plan for their required sample size such that achieving a sufficient level of statistical power is ensured (Cohen, 1988). While this method helps distinguishing statistically significant effects from the nonsignificant ones, it does not help achieving the higher goal of accurately estimating the actual size…
Descriptors: Sample Size, Planning, Language Research, Second Language Learning
Gorard, Stephen – International Journal of Social Research Methodology, 2020
Social science datasets usually have missing cases, and missing values. All such missing data has the potential to bias future research findings. However, many research reports ignore the issue of missing data, only consider some aspects of it, or do not report how it is handled. This paper rehearses the damage caused by missing data. The paper…
Descriptors: Data, Research Problems, Social Science Research, Statistical Analysis
Liu, Chunyan; Kolen, Michael J. – Journal of Educational Measurement, 2020
Smoothing is designed to yield smoother equating results that can reduce random equating error without introducing very much systematic error. The main objective of this study is to propose a new statistic and to compare its performance to the performance of the Akaike information criterion and likelihood ratio chi-square difference statistics in…
Descriptors: Equated Scores, Statistical Analysis, Error of Measurement, Criteria
Haberman, Shelby J. – Journal of Educational Measurement, 2020
Examples of the impact of statistical theory on assessment practice are provided from the perspective of a statistician trained in theoretical statistics who began to work on assessments. Goodness of fit of item-response models is examined in terms of restricted likelihood-ratio tests and generalized residuals. Minimum discriminant information…
Descriptors: Statistics, Goodness of Fit, Item Response Theory, Statistical Analysis
Crompvoets, Elise A. V.; Béguin, Anton A.; Sijtsma, Klaas – Journal of Educational and Behavioral Statistics, 2020
Pairwise comparison is becoming increasingly popular as a holistic measurement method in education. Unfortunately, many comparisons are required for reliable measurement. To reduce the number of required comparisons, we developed an adaptive selection algorithm (ASA) that selects the most informative comparisons while taking the uncertainty of the…
Descriptors: Comparative Analysis, Statistical Analysis, Mathematics, Measurement
