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Peer reviewed
Direct linkJulia Meisters; Adrian Hoffmann; Jochen Musch – Sociological Methods & Research, 2024
Indirect questioning techniques such as the randomized response technique aim to control social desirability bias in surveys of sensitive topics. To improve upon previous indirect questioning techniques, we propose the new Cheating Detection Triangular Model. Similar to the Cheating Detection Model, it includes a mechanism for detecting…
Descriptors: Foreign Countries, Native Speakers, Adults, Cheating
Kuan-Yu Jin; Thomas Eckes – Educational and Psychological Measurement, 2024
Insufficient effort responding (IER) refers to a lack of effort when answering survey or questionnaire items. Such items typically offer more than two ordered response categories, with Likert-type scales as the most prominent example. The underlying assumption is that the successive categories reflect increasing levels of the latent variable…
Descriptors: Item Response Theory, Test Items, Test Wiseness, Surveys
Download full textSusan Bush-Mecenas; Jonathan D. Schweig; Megan Kuhfeld; Louis T. Mariano; Melissa K. Diliberti – Education Policy Analysis Archives, 2024
The COVID-19 pandemic caused tremendous upheaval in schooling. In addition to devasting effects on students, these disruptions had consequences for researchers conducting studies on education programs and policies. Given the likelihood of future large-scale disruptions, it is important for researchers to plan resilient studies and think critically…
Descriptors: Educational Research, COVID-19, Pandemics, Change
Ehri Ryu – Society for Research on Educational Effectiveness, 2024
Background/Context: Confirmatory factor analysis (CFA) model is a commonly adopted framework to estimate and test a measurement model. Once a well-fitting final CFA model is selected, the selected model may be used to test structural relationships of the latent constructs with other variables, to construct a test with desired reliability and…
Descriptors: Research Problems, Factor Analysis, Scores, Computation
Olvera Astivia, Oscar L. – Measurement: Interdisciplinary Research and Perspectives, 2021
Partially specified correlation matrices (not to be confused with matrices with missing data or EM-correlation matrices) can appear in research settings such as integrative data analyses, quantitative systematic reviews or whenever the study design only allows for the collection of certain variables. Although approaches to fill in these missing…
Descriptors: Correlation, Matrices, Statistical Analysis, Research Problems
Lu, Peiyi; Shelley, Mack – International Journal of Social Research Methodology, 2023
Imputation or likelihood-based approaches to handle missing data assume the data are missing completely at random (MCAR) or missing at random (MAR). However, little research has examined the missingness pattern before using these imputation/likelihood methods. Three missingness mechanisms -- MCAR, MAR, and not missing at random (NMAR) -- can be…
Descriptors: Research Methodology, Longitudinal Studies, Health, Retirement
Stanley, T. D.; Doucouliagos, Hristos; Ioannidis, John P. A. – Research Synthesis Methods, 2022
Recent, high-profile, large-scale, preregistered failures to replicate uncover that many highly-regarded experiments are "false positives"; that is, statistically significant results of underlying null effects. Large surveys of research reveal that statistical power is often low and inadequate. When the research record includes selective…
Descriptors: Meta Analysis, Replication (Evaluation), Statistical Analysis, Research Problems
Yasemin J. Erden – Journal of Academic Ethics, 2025
This paper introduces the concept of 'hyper-ambition' in academia as a contributing factor to what has been termed a 'replication crisis' across some sciences. The replication crisis is an umbrella term that covers a range of 'questionable research practices', from sloppy reporting to fraud. There are already many proposals to address questionable…
Descriptors: Aspiration, Replication (Evaluation), Research, Integrity
Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
Helen Hendry; Eleonora Teszenyi; Lucy Rodriguez-Leon; Mary-Louise Maynes; Jane Dorrian; Tracey Edwards – European Early Childhood Education Research Journal, 2025
Research in early childhood settings requires careful consideration of the impact on all children in the setting, whether participants or non-participants, and evolving ethical approaches in response to children's needs. However, flexible approaches and, 'in the moment', ethical adaptations are not routinely reported as part of early childhood…
Descriptors: Ethics, Prediction, Educational Research, Early Childhood Education
Yuan Fang; Lijuan Wang – Grantee Submission, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Research Problems, Longitudinal Studies, Simulation
Bryan J. Duarte – Educational Studies: Journal of the American Educational Studies Association, 2024
Critical quantitative methods provide opportunities for Queer Theory to challenge, re-define, and re-claim the historically privileged research tradition. In this paper, I begin by summarizing the various binaries that oppress research and individuality. I then engage with Queer Theory and my own intersectional positionality to propose a nonbinary…
Descriptors: Statistical Analysis, Research Methodology, Social Justice, Homosexuality
Hairui Yu; Suzanne E. Perumean-Chaney; Kathryn A. Kaiser – Journal of Statistics and Data Science Education, 2024
Missing data can significantly influence results of epidemiological studies. The National Health and Nutrition Examination Survey (NHANES) is a popular epidemiological dataset. We examined recent practices related to the prevalence and the reporting of the amount of missing data, the underlying mechanisms, and the methods used for handling missing…
Descriptors: Statistics Education, Data Science, Data Use, Research Problems
Garret J. Hall; Sophia Putzeys; Thomas R. Kratochwill; Joel R. Levin – Educational Psychology Review, 2024
Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…
Descriptors: Research Design, Graphs, Case Studies, Validity
Tom O'Donoghue; Tom Farrelly – Irish Educational Studies, 2024
This paper is a critical exposition on three major issues related to 'interpretive research conducted by researchers who claim they engaged in mixed methods' research. First, to provide context, we demonstrate that the term 'mixed' is inappropriate for the research practices usually adopted by its exponents. Secondly, we argue, expositions in…
Descriptors: Researchers, Research Problems, Mixed Methods Research, Theory Practice Relationship
