NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Henry H. Zink; Ethan R. Van Norman; David A. Klingbeil – Grantee Submission, 2023
Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…
Descriptors: Research Design, Case Studies, Effect Size, Academic Ability
Peer reviewed Peer reviewed
Direct linkDirect link
Ethan R. Van Norman; David A. Klingbeil; Adelle K. Sturgell – Grantee Submission, 2024
Single-case experimental designs (SCEDs) have been used with increasing frequency to identify evidence-based interventions in education. The purpose of this study was to explore how several procedural characteristics, including within-phase variability (i.e., measurement error), number of baseline observations, and number of intervention…
Descriptors: Research Design, Case Studies, Effect Size, Error of Measurement
Larry V. Hedges; William R. Shadish; Prathiba Natesan Batley – Grantee Submission, 2022
Currently the design standards for single case experimental designs (SCEDs) are based on validity considerations as prescribed by the What Works Clearinghouse. However, there is a need for design considerations such as power based on statistical analyses. We compute and derive power using computations for (AB)[superscript k] designs with multiple…
Descriptors: Statistical Analysis, Research Design, Computation, Case Studies
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun; Kim, Esther – Grantee Submission, 2021
Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…
Descriptors: Meta Analysis, Case Studies, Research Design, Hierarchical Linear Modeling
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun – Grantee Submission, 2021
This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…
Descriptors: Hierarchical Linear Modeling, Intervention, Research Design, Participant Characteristics
J. B. Ganz; James E. Pustejovsky; Joe Reichle; Kimberly J. Vannest; Margarets Foster; Lauren M. Pierson; Sanikan Wattanawongwan; Marcus C. Fuller; April N. Haas; Mary Rose Sallese; S. D. Smith; Valeria Yllades – Grantee Submission, 2023
This comprehensive review reports on methodological quality of 162 single-case studies on augmentative and alternative communication interventions for communication and challenging behavior in individuals diagnosed with autism or intellectual disabilities and with complex communication needs. Following review for inclusion criteria, documents were…
Descriptors: Augmentative and Alternative Communication, Autism Spectrum Disorders, Intellectual Disability, Behavior Problems
Moeyaert, Mariola; Yang, Panpan – Grantee Submission, 2021
This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Case Studies
Miocevic, Milica; Klaassen, Fayette; Geuke, Gemma; Moeyaert, Mariola; Maric, Marija – Grantee Submission, 2020
Single-Case Experimental Designs (SCEDs) have lately been recognized as a valuable alternative tolarge group studies. SCEDs form a great tool for the evaluation of treatment effectiveness in heterogeneous and low-incidence conditions, which are common in the field of communication disorders. Mediation analysis is indispensable in treatment…
Descriptors: Bayesian Statistics, Computation, Intervention, Case Studies
Moeyaert, Mariola; Bursali, Semih; Ferron, John – Grantee Submission, 2020
The COVID-19 outbreak emphasizes the need for alternative methods for data gathering and collaboration among researchers in a virtual research environment. One experimental design that is well suited in a social distancing research context is the single-case experimental design (SCD). SCDs can handle disruptions as: (a) they do not require large…
Descriptors: Research Design, Computer Oriented Programs, Research Methodology, Case Studies
Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Grantee Submission, 2020
The focus of the current study is on handling the dependence among multiple regression coefficients representing the treatment effects when meta-analyzing data from single-case experimental studies. We compare the results when applying three different multilevel meta-analytic models (i.e., a univariate multilevel model avoiding the dependence, a…
Descriptors: Multivariate Analysis, Hierarchical Linear Modeling, Meta Analysis, Regression (Statistics)
Dostal, Hannah; Lederberg, Amy – Grantee Submission, 2021
Literacy intervention research tests our best ideas about instruction and forges a pathway forward toward deeper and more nuanced understandings of how children think, communicate, and learn. This chapter describes the components of the development of literacy interventions, explaining how to construct and evaluate each component in sequence to…
Descriptors: Deafness, Hearing Impairments, Students with Disabilities, Literacy Education
Wendel, Erica; Cawthon, Stephanie W.; Ge, Jin Jin; Beretvas, S. Natasha – Grantee Submission, 2015
The authors assessed the quality of single-case design (SCD) studies that assess the impact of interventions on outcomes for individuals who are deaf or hard-of-hearing (DHH). More specifically, the What Works Clearinghouse (WWC) standards for SCD research were used to assess design quality and strength of evidence of peer-reviewed studies…
Descriptors: Deafness, Partial Hearing, Intervention, Research Design
Colby S. Hall – Grantee Submission, 2016
Skill in generating inferences predicts reading comprehension for students in the elementary and intermediate grades even after taking into account word reading, vocabulary knowledge, and cognitive ability (Cain et al., "Journal of Educational Psychology, 96," 671-81, 2004; Kendeou et al., "Journal of Research in Reading, 31,"…
Descriptors: Inferences, Reading Instruction, Reading Difficulties, Reading Comprehension