ArticleJournal of speech, language, and hearing research : JSLHR2019
How Mixed-Effects Modeling Can Advance Our Understanding of Learning and Memory and Improve Clinical and Educational Practice.
Article in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed.
- Statistical Learning Among Preschoolers With and Without Developmental Language Disorder: Examining Effects of Language Status, Age, and Prior Learning.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Capturing the Heterogeneity of Word Learners by Analyzing Persons.Behavioral sciences (Basel, Switzerland) · 2024Article
- Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia.Bilingualism (Cambridge, England) · 2024Article
- Auditory, Lexical, and Multitasking Demands Interactively Impact Listening Effort.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Reproducibility in Small-Journal of speech, language, and hearing research : JSLHR · 2023Article
- Performance on stochastic figure-ground perception varies with individual differences in speech-in-noise recognition and working memory capacity.The Journal of the Acoustical Society of America · 2023Article
- Rapid but specific perceptual learning partially explains individual differences in the recognition of challenging speech.Scientific reports · 2022Article
- Word Learning by Preschool-Age Children: Differences in Encoding, Re-Encoding, and Consolidation Across Learners During Slow Mapping.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Voice Handicap Index Changes After Microflap Surgery for Benign Vocal Fold Lesions Are Not Associated With Recommended Absolute Voice Rest Duration.American journal of speech-language pathology · 2022Article
- Word Learning by Preschool-Age Children With Developmental Language Disorder: Impaired Encoding and Robust Consolidation During Slow Mapping.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Younger and older adults show non-linear, stimulus-dependent performance during early stages of auditory training for non-native English.The Journal of the Acoustical Society of America · 2021Article
- Effects of Gap Position on Perceptual Gap Detection Across Late Childhood and Adolescence.Journal of the Association for Research in Otolaryngology : JARO · 2020Article
- Noise, Age, and Gender Effects on Speech Intelligibility and Sentence Comprehension for 11- to 13-Year-Old Children in Real Classrooms.Frontiers in psychology · 2019Article
- Characterizing Perception of Impulse Sounds Through Subjective Ratings and Pupillometric Responses.Trends in hearingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Purpose A key goal of researchers, clinicians, and educators within the fields of speech, language, and hearing sciences is to support the learning and memory of others. To do so, they consider factors relevant to the individual, the material to be learned, and the training strategy that can maximize learning and retention. Statistical methods typically used within these fields are inadequate for identifying the complex relationships between these factors and are ill equipped to account for variability across individuals when identifying these relationships. Specifically, traditional statistical methods are often inadequate for answering questions about special populations because samples drawn from these populations are usually small, highly variable, and skewed in distribution. Mixed-effects modeling provides advantages over traditional statistical techniques to answer complex questions while taking into account these common characteristics of special populations. Method and Results Through 2 examples, I illustrate advantages of mixed-effects modeling in answering questions about learning and memory and in supporting better translation of research to practice. I also demonstrate key similarities and differences between analysis of variance, regression analyses, and mixed-effects modeling. Finally, I explain 3 additional advantages of using mixed-effects modeling to understand the processes of learning and memory: the means to account for missing data, assess the contribution of variations in delay intervals, and model nonlinear relationships between factors. Conclusions Through mixed-effects modeling, researchers can disseminate accurate information about learning and memory to clinicians and educators. In turn, through enhanced statistical literacy, clinicians and educators can apply research findings to practice with confidence. Overall, mixed-effects modeling is a powerful tool to improve the outcomes of the individuals that researchers and practitioners serve within the fields of speech, language, and hearing sciences.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.