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Chris Walsh; Leicha A. Bragg; Marion Heyeres; Ana Yap; Michael Ratcliff – Online Learning, 2024
COVID-19 led to an increase in online higher education courses. With this increase in demand, there needs to be online support to foster students' academic success. Online academic student support is often provided to students to assist them in developing the skills and knowledge to successfully complete their courses. However, it remains unclear…
Descriptors: Electronic Learning, Academic Support Services, Higher Education, Educational Research
The Design and Optimality of Survey Counts: A Unified Framework via the Fisher Information Maximizer
Xin Guo; Qiang Fu – Sociological Methods & Research, 2024
Grouped and right-censored (GRC) counts have been used in a wide range of attitudinal and behavioural surveys yet they cannot be readily analyzed or assessed by conventional statistical models. This study develops a unified regression framework for the design and optimality of GRC counts in surveys. To process infinitely many grouping schemes for…
Descriptors: Attitude Measures, Surveys, Research Design, Research Methodology
Ives, Samantha T.; Parsons, Seth A.; Cutter, Deidre; Field, Sara A.; Wells, Madelyn Stephens; Lague, Michelle – Reading Psychology, 2023
Motivation to read is a central consideration for teachers and researchers because it is strongly associated with reading performance and is generally accepted as a positive state. The study of reading motivation is plagued by inconsistent terminology and measurement, which impedes a comprehensive knowledge base for teachers and researchers. One…
Descriptors: Reading Motivation, Educational Research, Research Design, Theories
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
Wendy Chan; Jimin Oh; Chen Li; Jiexuan Huang; Yeran Tong – Society for Research on Educational Effectiveness, 2023
Background: The generalizability of a study's results continues to be at the forefront of concerns in evaluation research in education (Tipton & Olsen, 2018). Over the past decade, statisticians have developed methods, mainly based on propensity scores, to improve generalizations in the absence of random sampling (Stuart et al., 2011; Tipton,…
Descriptors: Generalizability Theory, Probability, Scores, Sampling
Aydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
Wisse, Maarten; Roeland, Johan – Teaching Theology & Religion, 2022
A precisely formulated research question is becoming increasingly important within the humanities. This applies not only to research funding applications, but also to articles, papers, and student theses. This article presents a tool allowing students to develop research questions on their own, which is open enough to allow for a wide variety of…
Descriptors: Teaching Methods, Humanities, Research Design, Student Research
Pashley, Nicole E.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2022
Several branches of the potential outcome causal inference literature have discussed the merits of blocking versus complete randomization. Some have concluded it can never hurt the precision of estimates, and some have concluded it can hurt. In this article, we reconcile these apparently conflicting views, give a more thorough discussion of what…
Descriptors: Research Design, Experimental Groups, Control Groups, Sampling
Peltier, Corey; Muharib, Reem; Haas, April; Dowdy, Art – Journal of Autism and Developmental Disorders, 2022
In single-case research designs (SCDs) to determine a functional relation a time-series graph is constructed. Preliminary evidence suggest the approach used to scale the vertical axis and the data points per x- to y-axis ratio (DPPXYR) impact visual analysts' decisions. We conducted a systematic review to evaluate time-series graphs published in…
Descriptors: Research Design, Graphs, Scaling, Error Patterns
Kniffin, Lori E.; Priest, Kerry – New Directions for Student Leadership, 2022
This article serves as an overview of qualitative inquiry for leadership development practitioner-scholars both new and experienced. It begins with a discussion of the need for the qualitative inquiry to create knowledge about leadership development. Then, it overviews design components and includes examples of both research and assessment. We…
Descriptors: Qualitative Research, Inquiry, Leadership Training, Research Design
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Jonah D'Angelo; Stephen Ritchie; Simon Priest; Bruce Oddson; Daniel B. Scott – Journal of Adventure Education and Outdoor Learning, 2025
Outdoor programs have shown holistic health benefits for participants, with recent evidence indicating that these benefits can extend long after the conclusion of the program. The methods employed in retrospective studies exploring these outcomes are diverse, leading to many different approaches. Furthermore, only a few studies reference a…
Descriptors: Outdoor Education, Adventure Education, Physical Health, Mental Health
Jasmeen Kaur; Michael P. Kranak; Daniel R. Mitteer; Isaac J. Melanson; Tara A. Fahmie – Journal of Applied Behavior Analysis, 2025
We conducted a scoping review on the consecutive controlled case series (CCCS) methodology (Hagopian, 2020). The CCCS is an approach to studying functional relations across a series of consecutive cases that share common features. We identified and reviewed 76 studies that used CCCS methodology. Most of these (a) were retrospective CCCS studies…
Descriptors: Research Methodology, Case Studies, Research Design, Children
Courtney K. Baker; Stefanie D. Livers; Margret A. Hjalmarson; Evthokia Stephanie Saclarides; Kristin E. Harbour; KimAnn Brown – School Science and Mathematics, 2025
Mathematics teacher leadership is promising, yet complex work, and research interest in this form of leadership is on the rise. This systematic review takes stock of the current research landscape on mathematics teacher leadership, specifically mathematics specialists as teacher leaders (MSTLs), and approaches the questions: (1) What are the…
Descriptors: Mathematics Teachers, Teacher Leadership, Specialists, Publications
Jana Navrátilová; Petr Svojanovský; Jana Obrovská; Jana Kratochvílová; Katerina Lojdová; Lukáš Plch – European Journal of Special Needs Education, 2025
This review addresses the current knowledge on inclusive education suggesting that many studies focus on predetermined groups of disadvantaged learners . This review aims 1) to map the research on inclusive education for all (IEFA) and 2) to assess the consistency of studies in their approach to inclusive education (IE), research methodology and…
Descriptors: Inclusion, Research Methodology, Research Design, Values

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