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Christoph Beuthner; Bernd Weiß; Henning Silber; Florian Keusch; Jette Schröder – International Journal of Social Research Methodology, 2024
As our modern world has become increasingly digitalized, various types of data from different data domains are available that can enrich survey data. To link survey data to other sources, consent from the survey respondents is required. This article compares consent to data linkage requests for seven data domains: administrative data, smartphone…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Informed Consent
Marta Olmo-Extremera; Lucía Fernández-Terol; Diana Amber Montes – Qualitative Research Journal, 2024
Purpose: This study aims to describe and evaluate various visual and creative tools for supporting the in-depth biographical interview aimed at analyzing educational communities and their stakeholders. Design/methodology/approach: Researching educational spaces today requires new ways of understanding, analyzing and studying. The complex…
Descriptors: Visual Aids, Interviews, Qualitative Research, Stakeholders
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
John E. Kerrigan; Sally Lu – Journal of Research Administration, 2024
A major pre-award administrative challenge research universities face is turnaround time for generation of high-quality NIH Data Training Tables for NIH training grants (e.g., T32, K12, TL1, KL2, R25s) which are required for training grant submission proposals to the National Institutes of Health (NIH). Universities with dedicated training grant…
Descriptors: Research Universities, Research Administration, Educational Finance, Grants
Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
Janis, Ilyana – Field Methods, 2022
Dependability (also known as consistency) is one of four criteria in rigor and trustworthiness in qualitative research. In this article, the process of establishing consistency is discussed through the lenses of constructivism and interpretivism, as the observed social reality is viewed as epistemologically counter-intuitive. Two strategies were…
Descriptors: Reliability, Qualitative Research, Case Studies, Data Collection
Feng, Tianying; Chung, Gregory K. W. K. – Grantee Submission, 2022
A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…
Descriptors: Games, Data Collection, Learning Processes, Measurement
Haesebrouck, Tim – Sociological Methods & Research, 2023
The field of qualitative comparative analysis (QCA) is witnessing a heated debate on which one of the QCA's main solution types should be at the center of substantive interpretation. This article argues that the different QCA solutions have complementary strengths. Therefore, researchers should interpret the three solution types in an integrated…
Descriptors: Qualitative Research, Comparative Analysis, Data Analysis, Data Collection
Ivimey-Cook, Edward R.; Noble, Daniel W. A.; Nakagawa, Shinichi; Lajeunesse, Marc J.; Pick, Joel L. – Research Synthesis Methods, 2023
Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the transparency and reproducibility of the data extraction phase is still lagging behind. Unfortunately, there is…
Descriptors: Replication (Evaluation), Data Collection, Meta Analysis, Computer Software
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Journal of Autism and Developmental Disorders, 2025
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Bernadine Sengalrayan; Blane Harvey – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This study examines the engagement of knowledge users in knowledge mobilisation (KMb) research on Canadian K-12 teaching and education policy. Research on and around KMb has grown in the decade since this field was first assessed comprehensively. Thus, it is timely to re-evaluate if current knowledge producer-user relationships in KMb…
Descriptors: Foreign Countries, Elementary Secondary Education, Educational Research, Educational Researchers
Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
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
Sophie Zamarripa; Hailly T. N. Korman; Paul Beach; Libby Schwaner; Max Marchitello – Bellwether, 2025
"Court-involved" students -- those who are incarcerated, on probation, in foster care, in residential treatment facilities, or have concurrent adjudications -- retain their full educational rights under federal and state laws. They also face many educational challenges, as they are often highly mobile, have concentrated needs, and may…
Descriptors: Data Collection, Data Use, Information Dissemination, Juvenile Justice

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