How to measure the onset of babbling reliably
Bibliographic Data
| ID | 20367388 |
|---|---|
| Authors | INGE MOLEMANS (University of Antwerp), RENATE VAN DEN BERG (University of Antwerp), LIEVE VAN SEVEREN (0009-0002-2294-6780, University of Antwerp), Steven Gillis (0000-0002-2067-0576, University of Antwerp) |
| Year | 2012 |
| Volume | 39 |
| Issue | 3 |
| Pages | 523-552 |
| Publication date | 2012-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Child Language (JOURNAL) |
| Journal identifiers | ISSN: 0305-0009 • E-ISSN: 1469-7602 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0305000911000171 |
| PMID | 21892989 |
| OpenAlex | W2111462623 |
| Language | EN |
| Citations received | 7 |
| References cited | 32 |
Various measures for identifying the onset of babbling have been proposed in the literature, but a formal definition of the exact procedure and a thorough validation of the sample size required for reliably establishing babbling onset is lacking. In this paper the reliability of five commonly used measures is assessed using a large longitudinal corpus of spontaneous speech from forty infants (age 0 ; 6−2 ; 0). In a first experiment it is shown that establishing the onset of babbling with reasonable (95%) confidence is impossible when the measures are computed only once, and when the number of vocalizations are not equal for all children at all ages. In addition, each measure requires a different minimal sample size. In the second experiment a robust procedure is proposed and formally defined that permits the identification of the onset of babbling with 95% confidence. The bootstrapping procedure involves extensive resampling and requires relatively few data
Babbling · Confidence interval · Econometrics · Linguistics · Resampling · Statistics · Computer Science · Infant Health and Development · Language Development and Disorders · Mathematics · Psychology · Speech and dialogue systems
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| Citations per year | 0.78 |
|---|---|
| Citation span | 2017 - 2026 (10) |
| Highly cited | No |