Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis
Autor: | Rumen Manolov, Antonio Solanas |
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Přispěvatelé: | Universitat de Barcelona |
Rok vydání: | 2018 |
Předmět: |
050103 clinical psychology
Computer science Process (engineering) Psychological intervention Context (language use) Field (computer science) Software Meta-Analysis as Topic Developmental Neuroscience Humans 0501 psychology and cognitive sciences Child Neurorehabilitation Disseny d'experiments business.industry Management science 05 social sciences Rehabilitation Neurological Rehabilitation 050301 education General Medicine Data science Experimental design Education of Intellectually Disabled Meta-analysis Estudi de casos Pediatrics Perinatology and Child Health Metric (unit) Case studies business 0503 education Metaanàlisi |
Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona Recercat. Dipósit de la Recerca de Catalunya instname |
Popis: | The current paper is a call for and illustration of a way of closing the gap between basic research and professional practice in the field of neurorehabilitation. Methodologically, single-case experimental designs and the guidelines created regarding their conduct are highlighted. Statistically, we review two data analytical options, namely (a) indices quantifying the difference between pairs of conditions in the same metric as the target behavior and (b) a formal statistical procedure offering a standardized overall quantification. The paper provides guidance in the analysis and suggests free software in order to illustrate, in the context of data from behavioral interventions with children with developmental disorders, that informative analyses are feasible. We also show how the results of individual studies can be made eligible for meta-analyses, which are useful for establishing the evidence basis of interventions. Nevertheless, we also point at decisions that need to be made during the process of data analysis. |
Databáze: | OpenAIRE |
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