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Afshar, Hassan Soodmand; Ranjbar, Naser – Iranian Journal of Language Teaching Research, 2023
The quality of mixing methods has been widely debated in the field of applied linguistics (AL) and the integration of data from both quantitative and qualitative research paradigms has always been open to controversy. The present study was aimed at recognizing the status quo of MMR in AL, investigating the nature of various sections of MMR…
Descriptors: Mixed Methods Research, Applied Linguistics, Research Reports, Sampling
Paganin, Sally; Paciorek, Christopher J.; Wehrhahn, Claudia; Rodríguez, Abel; Rabe-Hesketh, Sophia; de Valpine, Perry – Journal of Educational and Behavioral Statistics, 2023
Item response theory (IRT) models typically rely on a normality assumption for subject-specific latent traits, which is often unrealistic in practice. Semiparametric extensions based on Dirichlet process mixtures (DPMs) offer a more flexible representation of the unknown distribution of the latent trait. However, the use of such models in the IRT…
Descriptors: Bayesian Statistics, Item Response Theory, Guidance, Evaluation Methods
van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
Blasko, Alyssa M.; Morin, Kristi L.; Bauer, Kathleen; Johnson, Kelsey M.; Enriquez, Grace B.; Hunsicker, Lindsey E.; Tasik, Emily J.; Renz, Theodore E., III – Journal of Special Education, 2023
Most disability research is conducted in high-income countries, despite much of the world's population living in low- and middle-income countries. Given the flexible nature of qualitative research, studies using this methodology have the potential to provide important insights into how disability is perceived across the globe. The aim of the…
Descriptors: Foreign Countries, Disabilities, Research, Research Methodology
Is the Acknowledgment of Earned Entitlement Effect Robust across Experimental Modes and Populations?
Barr, Abigail; Miller, Luis; Ubeda, Paloma – Sociological Methods & Research, 2023
We present a set of studies the objective of which was to test the robustness of the acknowledgment of earned entitlement effect across different experimental modes and populations. We present three sets of results. The first is derived from a between-subject analysis of two independent, but comparable samples of nonstudent adults. One sample…
Descriptors: Robustness (Statistics), Sampling, Surveys, Validity
Zuchao Shen; Ben Kelcey – Society for Research on Educational Effectiveness, 2023
I. Purpose of the Study: Detecting whether interventions work or not (through main effect analysis) can provide empirical evidence regarding the causal linkage between malleable factors (e.g., interventions) and learner outcomes. In complement, moderation analyses help delineate for whom and under what conditions intervention effects are most…
Descriptors: Intervention, Program Effectiveness, Evidence, Research Design
Buchanan, Ryan M.; Cook, Charlotte; Khakoo, Salim I.; Parkes, Julie – International Journal of Social Research Methodology, 2022
In this study, we collected mixed method social network data alongside a survey of people who inject drugs (PWID) to assess key assumptions of respondent-driven sampling (RDS). We found adherence to some assumptions and non-adherence to others. Specifically, sampling did occur through a connected network of PWID and the reported degree size of…
Descriptors: Drug Abuse, Sampling, Social Networks, Surveys
Yunting Liu; Shreya Bhandari; Zachary A. Pardos – British Journal of Educational Technology, 2025
Effective educational measurement relies heavily on the curation of well-designed item pools. However, item calibration is time consuming and costly, requiring a sufficient number of respondents to estimate the psychometric properties of items. In this study, we explore the potential of six different large language models (LLMs; GPT-3.5, GPT-4,…
Descriptors: Artificial Intelligence, Test Items, Psychometrics, Educational Assessment
Sarah S. Mire; Dieu M. Truong; Georgina J. Sakyi; Mycah L. Ayala-Brittain; Jelisa D. Boykin; Christian M. Stewart; Fre'Dasia Daniels; Brenda Duran; Scarlett Gardner; Alexandra M. Barth; Georgette Richardson; Shannon L. McKee – Journal of Autism and Developmental Disorders, 2024
Underrepresentation of socioeconomically, culturally, and/or linguistically diverse (SCLD) children with neurodevelopmental disorders (NDD) and their families has become a focal point for researchers. This systematic review aimed to identify researchers' strategies for recruiting and retaining SCLD families of children with NDD, published between…
Descriptors: Disadvantaged, Language Minorities, Children, Neurodevelopmental Disorders
Eren Can Aybek; Serkan Arikan; Günes Ertas – International Journal of Assessment Tools in Education, 2024
When it is required to estimate item parameters of a large item bank, Multiple Matrix Sampling (MMS) design provides an efficient way while minimizing the test burden on students. The current study exemplifies how to calibrate a large item pool using MMS design for various purposes, such as developing a CAT administration. The purpose of the…
Descriptors: Elementary School Mathematics, Elementary School Students, Grade 4, Item Banks
Sabine Doebel; Michael C. Frank – Journal of Cognition and Development, 2024
Diverse samples are valuable to the study of development, and to psychology more broadly. But convenience samples--typically recruited from local populations close to universities--are still the most widely used in developmental science, despite the fact that their use leads to a vast over-representation of Western, White, and high socio-economic…
Descriptors: Sampling, Psychology, Recruitment, Research Problems
McKay, Brad; Bacelar, Mariane F. B.; Carter, Michael J. – Journal of Motor Learning and Development, 2023
Recent metascience suggests that motor behavior research may be underpowered, on average. Researchers can perform a priori power analyses to ensure adequately powered studies. However, there are common pitfalls that can result in underestimating the required sample size for a given design and effect size of interest. Critical evaluation of power…
Descriptors: Statistical Analysis, Psychomotor Skills, Motor Development, Research Design
Timmermans, Stefan; Prickett, Pamela J. – Sociological Methods & Research, 2023
The social autopsy takes the death of a set of individuals as its starting point and then critically and systematically examines social and political conditions to explain these deaths and generate awareness and policy change. After distinguishing the social autopsy from other means to explain excess and premature deaths, we delineate three core…
Descriptors: Death, Causal Models, Social Influences, Politics
Grant, David; Setodji, Claude Messan; Hunter, Gerald P.; Diliberti, Melissa Kay – RAND Corporation, 2023
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: Teacher Surveys, Administrator Surveys, School Surveys, School Districts
Raykov, Tenko; Menold, Natalja; Leer, Jane – Educational and Psychological Measurement, 2022
Two- and three-level designs in educational and psychological research can involve entire populations of Level-3 and possibly Level-2 units, such as schools and educational districts nested within a given state, or neighborhoods and counties in a state. Such a design is of increasing relevance in empirical research owing to the growing popularity…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Research Design