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Ning Jiang – ProQuest LLC, 2022
The purpose of this study is to evaluate the performance of three commonly used model fit indices when measurement invariance is tested in the context of multiple-group CFA analysis with categorical-ordered data. As applied researchers are increasingly aware of the importance of testing measurement invariance, as well as Likert-type scales are…
Descriptors: Goodness of Fit, Factor Analysis, Data, Monte Carlo Methods
Dickson-Karn, Nicole M.; Orosz, Steven – Journal of Chemical Education, 2021
Proper sampling techniques are of the utmost importance in obtaining accurate and precise results in chemical analysis. A Python language computer simulation providing fast feedback on sampling concepts and statistics was delivered to students through Google Colab. Students used the simulation to aid in their exploration of sampling and sampling…
Descriptors: Programming Languages, Chemistry, Computer Simulation, Sampling
Hajar, Anas – Higher Education Research and Development, 2021
Phenomenography is an empirical approach to ascertain the qualitatively different ways in which individuals experience and understand aspects of the world around them. Originating in educational research (Marton, F., & Säljö, R. (1976). On qualitative differences in learning. 1- outcome and process. "British Journal of Educational…
Descriptors: Research Methodology, Educational Research, Qualitative Research, Epistemology
Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Bom, Pedro R. D.; Rachinger, Heiko – Research Synthesis Methods, 2020
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…
Descriptors: Meta Analysis, Sampling, Research Problems, Computation
Winnie Lourdes Zambrana Orozco – ProQuest LLC, 2024
The COVID-19 pandemic highlighted the critical need for enhanced outbreak preparedness against viruses. Key elements to this preparedness are robust disease surveillance systems and effective interventions to minimize disease transmission. While individual clinical testing is the conventional disease surveillance approach, environmental…
Descriptors: Communicable Diseases, Disease Control, Intervention, Prevention
Matthew J. Mayhew; Christa E. Winkler – Journal of Postsecondary Student Success, 2024
Higher education professionals often are tasked with providing evidence to stakeholders that programs, services, and practices implemented on their campuses contribute to student success. Furthermore, in the absence of a solid base of evidence related to effective practices, higher education researchers and practitioners are left questioning what…
Descriptors: Higher Education, Educational Practices, Evidence Based Practice, Program Evaluation
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Poom, Leo; af Wåhlberg, Anders – Research Synthesis Methods, 2022
In meta-analysis, effect sizes often need to be converted into a common metric. For this purpose conversion formulas have been constructed; some are exact, others are approximations whose accuracy has not yet been systematically tested. We performed Monte Carlo simulations where samples with pre-specified population correlations between the…
Descriptors: Meta Analysis, Effect Size, Mathematical Formulas, Monte Carlo Methods
Elhami, Ali; Khoshnevisan, Babak – MEXTESOL Journal, 2022
Qualitative inquiry is an effective way to explore the perceptions of participants and unlock their experiences. In social science research (e.g., applied linguistics, sociology, sociolinguistics, psychology, psycholinguistics), there is a strong tendency among qualitative researchers to collect their required data through interviewing. Interviews…
Descriptors: Structured Interviews, Semi Structured Interviews, Qualitative Research, Social Science Research
Lenhart, Michelle H.; Timler, Geralyn R.; Pavelko, Stacey L.; Bronaugh, Dannette A.; Dudding, Carol C. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Syntax has been called the structural foundation of language, as its development allows for more efficient and effective communication. Complex syntax production is known to lag in children and adolescents with language impairment. Conversation, narrative, and expository language sampling contexts are recommended tools for the…
Descriptors: Syntax, Language Impairments, Elementary School Students, Sampling
Grant, David; Setodji, Claude Messan; Hunter, Gerald P.; Diliberti, Melissa Kay – RAND Corporation, 2022
The American School District Panel (ASDP) is the newest addition to the RAND Corporation's American Educator Panels (AEP) and was designed to survey district leaders several times each school year. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national…
Descriptors: School Districts, Administrator Surveys, Teacher Surveys, Sampling
Daniel Litwok; Austin Nichols; Azim Shivji; Robert B. Olsen – Grantee Submission, 2022
Experimental studies of educational interventions are rarely based on representative samples of the target population. This simulation study tests two formal sampling strategies for selecting districts and schools from within strata when they may not agree to participate if selected: (1) balanced selection of the most typical district or school…
Descriptors: Educational Research, School Districts, Schools, Research Methodology
Zita Lysaght; Michael O'Leary; Angela Mazzone; Conor Scully – Sage Research Methods Cases, 2022
Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability