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Madeleine Munzer; Nicole Jameson; Arianwen Harris; Ciara Curran; Natalie Dinsdale; Karleen Gribble – Journal of Academic Ethics, 2025
Including women in research and collecting and disaggregating data on sex is an ethical imperative. However, increasingly gender identity is being prioritised over sex in data collection and language which has ethical implications. In this paper, the authors share their experiences as study participants; a health consumer advocate, patient…
Descriptors: Sex, Gender Identity, Research Problems, Research Administration
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Terry A. Beehr; Minseo Kim; Ian W. Armstrong – International Journal of Social Research Methodology, 2024
Previous research extensively studied reasons for and ways to avoid low response rates, but it largely ignored the primary research issue of the degree to which response rates matter, which we address. Methodological survey research on response rates has been concerned with how to increase responsiveness and with the effects of response rates on…
Descriptors: Surveys, Response Rates (Questionnaires), Effect Size, Research Methodology
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David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn – Grantee Submission, 2024
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…
Descriptors: Regression (Statistics), Weighted Scores, Data Analysis, Robustness (Statistics)
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Hasan Tutar; Mehmet Sahin; Teymur Sarkhanov – Qualitative Research Journal, 2024
Purpose: The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size,…
Descriptors: Research Problems, Sample Size, Qualitative Research, Models
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Micaela Sánchez-Martín; Marta Gutiérrez-Sánchez; Eva María Olmedo-Moreno; Fernando Navarro-Mateu – Cogent Education, 2024
Introduction: Concerns about the risk of bias (RoB) of Meta-analysis (MAs) have grown in parallel with the exponential increase in the number of publications in science. However, this has not been properly assessed in Education. The aims were to evaluate the RoB of MAs in Education and to identify potential predictors of a lower RoB. Methods:…
Descriptors: Literature Reviews, Meta Analysis, Bias, Research Problems
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Maya B. Mathur – Research Synthesis Methods, 2024
As traditionally conceived, publication bias arises from selection operating on a collection of individually unbiased estimates. A canonical form of such selection across studies (SAS) is the preferential publication of affirmative studies (i.e., those with significant, positive estimates) versus nonaffirmative studies (i.e., those with…
Descriptors: Meta Analysis, Research Reports, Research Methodology, Research Problems
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Micheal Sandbank; Kristen Bottema-Beutel; Ya-Cing Syu; Nicolette Caldwell; Jacob I. Feldman; Tiffany Woynaroski – Autism: The International Journal of Research and Practice, 2024
We conducted a multi-pronged investigation of different types of reporting bias in autism early childhood intervention research. First, we investigated the prevalence of reporting failures of completed trials registered on clinicaltrials.gov, and found that only 7% of registered trials were updated with results on the registration platform and…
Descriptors: Literature Reviews, Meta Analysis, Autism Spectrum Disorders, Children
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Hampson, Timothy; McKinley, Jim – Research in Education, 2023
Mixed research is a methodology of growing importance both within and without education. This type of research forces researchers to reconcile conflicting ways of justifying and understanding research with results that have the potential to be forward pointing for all researchers. As mixed research has grown, mixed research has gained an…
Descriptors: Mixed Methods Research, Constructivism (Learning), Epistemology, Pragmatics
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Ellis, Rachel – Sociological Methods & Research, 2023
Numerous articles and textbooks advise qualitative researchers on accessing "hard-to-reach" or "hidden" populations. In this article, I compare two studies that I conducted with justice-involved women in the United States: a yearlong ethnography inside a state women's prison and an interview study with formerly incarcerated…
Descriptors: Population Groups, Barriers, Institutionalized Persons, Females
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Weibel, Stephanie; Popp, Maria; Reis, Stefanie; Skoetz, Nicole; Garner, Paul; Sydenham, Emma – Research Synthesis Methods, 2023
Evidence synthesis findings depend on the assumption that the included studies follow good clinical practice and results are not fabricated or false. Studies which are problematic due to scientific misconduct, poor research practice, or honest error may distort evidence synthesis findings. Authors of evidence synthesis need transparent mechanisms…
Descriptors: Identification, Randomized Controlled Trials, Integrity, Evaluation Methods
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Joseph Taylor; Dung Pham; Paige Whitney; Jonathan Hood; Lamech Mbise; Qi Zhang; Jessaca Spybrook – Society for Research on Educational Effectiveness, 2023
Background: Power analyses for a cluster-randomized trial (CRT) require estimates of additional design parameters beyond those needed for an individually randomized trial. In a 2-level CRT, there are two sample sizes, the number of clusters and the number of individuals per cluster. The intraclass correlation (ICC), or the proportion of variance…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
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Tina Skinner; Kristine Brance; Sarah Halligan; Emily Tsang; Heather Girling – Journal of Academic Ethics, 2025
While previous work has highlighted the possible impacts of undertaking emotionally challenging research, it is only recently, particularly within the UK with the 2028 Research Excellence Framework focus on research culture, that this subject is starting to gain senior leadership attention. Funded by the UK Research and Innovation, Researcher…
Descriptors: Foreign Countries, Researchers, Research Problems, Research Administration
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Tanja Kunz; Simon Börlin; Tobias Gummer – Field Methods, 2025
This study examined the feasibility of conducting a follow-up survey of panel attriters as a panel maintenance measure to investigate respondents' reasons for attrition, assessing their willingness to rejoin, and updating their addresses. We surveyed FReDA panelists who had not participated in two consecutive subwaves and were excluded from the…
Descriptors: Feasibility Studies, Attrition (Research Studies), Research Problems, Response Rates (Questionnaires)
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Julia 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
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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
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