Estimating Measurement Error in Child Language Assessments Administered by Daycare Educators in Large Scale Intervention Studies
Autor: | Dorthe Bleses, Anders Højen, Werner Vach, E. F. Haghish |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
Vocabulary Speech-Language Pathology Denmark Social Sciences Laryngology Families Sociology børnehave Medicine and Health Sciences Psychology Medical Personnel sprogvurdering Children media_common Language Intelligence Tests Multidisciplinary Language Tests Intelligence quotient Multilevel model sprogtilegnelse Research Assessment Test (assessment) Professions language acquisition Scale (social sciences) Child Preschool ECEC Medicine Female Child Language Research Article Psychometrics media_common.quotation_subject Science childcare educator Research and Analysis Methods preschool Education dagtilbud Speech Humans Language development Human resources language assessment Medical education Observational error business.industry Cognitive Psychology Biology and Life Sciences Reproducibility of Results Linguistics Child Day Care Centers Pathologists Otorhinolaryngology Sample size determination Age Groups People and Places pædagoger Cognitive Science Population Groupings business Neuroscience |
Zdroj: | Ebad Fardzadeh, H, Vach, W, Højen, A & Bleses, D 2021, ' Estimating Measurement Error in Child Language Assessments Administered by Daycare Educators in Large Scale Intervention Studies ', PLOS ONE, vol. 16, no. 11, pp. e0255414 . https://doi.org/10.1371/journal.pone.0255414 PLoS ONE, Vol 16, Iss 11, p e0255414 (2021) PLoS ONE, Vol 16, Iss 11 (2021) PLoS ONE |
DOI: | 10.1371/journal.pone.0255414 |
Popis: | Measurement error is a ubiquitous element of social science studies. In large-scale effectiveness intervention studies on child language, administration of the assessment of language and preliteracy outcomes by speech and language pathologists is costly in money and human resources. Alternatively, daycare educators can administer the assessment, which preserves considerable resources but may increase the measurement error. Using data from two nationwide child language intervention studies in Denmark, this article evaluates daycare educators’ measurement error when administering a test of language and preliteracy skills of 3 to 5 year old children that in part is used in a national screening program. Since children were randomly assigned to educators, hierarchical linear models can estimate the amount of additional measurement error caused by educators’ language assessments. The result shows that the amount of additional measurement error varied between different language subscales, ranging from 4% to 19%, which can be compensated for by increasing the sample size by the latter percentage. The benefits and risks of having daycare educators administer language assessments are discussed. Measurement error is a ubiquitous element of social science studies. In large-scale effectiveness intervention studies on child language, administration of the assessment of language and preliteracy outcomes by speech and language pathologists is costly in money and human resources. Alternatively, daycare educators can administer the assessment, which preserves considerable resources but may increase the measurement error. Using data from two nationwide child language intervention studies in Denmark, this article evaluates daycare educators’ measurement error when administering a test of language and preliteracy skills of 3 to 5 year old children that in part is used in a national screening program. Since children were randomly assigned to educators, hierarchical linear models can estimate the amount of additional measurement error caused by educators’ language assessments. The result shows that the amount of additional measurement error varied between different language subscales, ranging from 4% to 19%, which can be compensated for by increasing the sample size by the latter percentage. The benefits and risks of having daycare educators administer language assessments are discussed. |
Databáze: | OpenAIRE |
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