How Mixed-Effects Modeling Can Advance Our Understanding of Learning and Memory and Improve Clinical and Educational Practice
| العنوان: | How Mixed-Effects Modeling Can Advance Our Understanding of Learning and Memory and Improve Clinical and Educational Practice |
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| المؤلفون: | Katherine R. Gordon |
| المصدر: | Journal of Speech, Language, and Hearing Research. 62:507-524 |
| بيانات النشر: | American Speech Language Hearing Association, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Linguistics and Language, Special populations, Computer science, Statistics as Topic, Predictor variables, 01 natural sciences, Speech Disorders, 050105 experimental psychology, Language and Linguistics, Speech and Hearing, Memory, 0103 physical sciences, Humans, Learning, 0501 psychology and cognitive sciences, Hearing Disorders, 010301 acoustics, Language Disorders, Models, Statistical, Research Forum: Advancing Statistical Methods in Speech, Language, and Hearing Sciences, 05 social sciences, Multilevel model, Data science, Variable (computer science), Education, Special, Mixed effects, Key (cryptography), Behavioral Research |
| الوصف: | 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 two 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 three 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. |
| تدمد: | 1558-9102 1092-4388 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b09292463c65f7cb89d8c543007a719 https://doi.org/10.1044/2018_jslhr-l-astm-18-0240 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....0b09292463c65f7cb89d8c543007a719 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15589102 10924388 |
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