Search terms and details, exclusionary criteria, and risk factor information and effect size data extracted from each study included in the meta-analysis (Rudolph, 2017)
datasetposted on 03.07.2017 by Johanna M. Rudolph
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
In this study, systematic review and meta-analytic procedures were used to determine whether any case history factors can be used to identify toddlers at risk of developing specific language impairment (SLI). Eleven risk factors were found to be statistically significant predictors of SLI. Among these, maternal education level, 5-min Apgar score, birth order, and biological sex met criteria for clinical significance.
Supplemental Material S1. Details of database searches.
Supplemental Material S2. Terms used in automated filter during the title and abstract phases of the hand search.
Supplemental Material S3. Exclusionary criteria for title, abstract, and full-text level evaluation.
Supplemental Material S4. Risk factor information and effect size data extracted from each study.
Rudolph, J. M. (2017). Case history risk factors for specific language impairment: A systematic review and meta-analysis. Advance online publication. American Journal of Speech-Language Pathology, 26, 991–1010. https://doi.org/10.1044/2016_AJSLP-15-0181