Sample length affects the reliability of language sample measures in 3-year-olds: evidence from parent-elicited conversational samples
Open accessAbstract
Purpose: The goal of this study was to investigate the extent to which sample length affected the reliability of total number of words (TNW), number of different words (NDW), and mean length of C-units in morphemes (MLCUm) in parent-elicited conversational samples for 3-year-olds. Method: Participants were sixty 3-year-olds. A 22-min language sample was collected from each child during free play with the parent in the laboratory. Samples of 1, 3, 7, and 10 min were extracted from the 22-min samples. TNW, NDW, and MLCUm were computed from each shorter sample and the 22-min sample. TNW and NDW were adjusted by number of minutes for comparisons. The differences and correlations between each shorter sample cut and the 22-min sample on MLCUm and adjusted TNW and NDW were computed. Results: The shorter samples and the 22-min samples significantly differed in adjusted TNW and NDW, but not in MLCUm. TNW reached an acceptable reliability level (i.e., r = .90) in 7-min samples. NDW and MLCUm approached the acceptable reliability level ( r s = .88) in 7-min samples and reached it in 10-min samples. Conclusion: For conversational language samples with similar collection procedures, samples of 7 to 10 min are desirable for calculating TNW, NDW, and MLCUm in 3-year-olds.
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Analyzing the first 200 intelligible utterances for each child ensures a representative language sample at each time point.
“Following this recommendation, we analyzed the first 200 intelligible utterances for each child to ensure a representative language sample at each time point.”
From The roles of L1 transfer, L2 exposure, and morphological salience in bilingual children's L2 English morphological development (2025) · cites this paper as Guo and Eisenberg, 2015
The Clinical Implications section (page unavailable) supports using a sufficiently long conversational sample, but recommends approximately 91 C-units for the measures studied in 3-year-olds—not the first 200 utterances. The Materials and Procedure section says the analysis included only intelligible, complete, spontaneous C-units. The paper does not establish that taking the first 200 ensures a representative sample at each time point. (LLM, conf=0.86)
Experimental — accuracy not yet measuredUsing at least 50-100 utterances or a 7-10-min language sample yields a representative and reliable measure of a child's language use.
“Previous research on language sample analysis recommends using at least 50–100 utterances or a 7–10-min language sample to obtain a representative and reliable measure of a child's language use (e.g., Guo and Eisenberg, 2015).”
From The roles of L1 transfer, L2 exposure, and morphological salience in bilingual children's L2 English morphological development (2025) · cites this paper as Guo and Eisenberg, 2015
The Introduction reports a recommendation of 50–100 utterances, but says those samples take about 10–15 minutes, not 7–10 minutes. The Conclusions support 10-minute samples for specified measures in parent-elicited samples from 3-year-olds; they say 7-minute samples could also be used, while the Clinical Implications note that two measures fell just below the study's reliability benchmark at 7 minutes. The claim overgeneralizes those findings to a child's language use without the study's age, setting, and measure qualifications. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe inclusion of 200 intelligible utterances exceeds the minimum requirement suggested by Guo and Eisenberg (2015), further enhancing the representativeness of the language samples.
“The inclusion of 200 intelligible utterance exceeds the minimum requirement suggested by Guo and Eisenberg (2015), further enhancing the representativeness of the language samples.”
From The roles of L1 transfer, L2 exposure, and morphological salience in bilingual children's L2 English morphological development (2025) · cites this paper as Guo and Eisenberg, 2015
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Potratz, J. R. (2026) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2026_persp-25-00204
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Luo, J. F., Xu, L., Wang, M., Li, J., Spencer, L. J., Liu, H.-M., & Guo, L.-Y. (2026) · Journal of Speech Language and Hearing Research · doi:10.1044/2026_jslhr-25-00709
Self-citationRezaei, P., Jalilevand, N., Kamali, M., Mohamadi, R., Soleymani, Z., & Derakhshandeh, F. (2026) · Applied Neuropsychology Child · doi:10.1080/21622965.2026.2701841
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- Authors
- Guo, L.-Y., & Eisenberg, S.
- Affiliations
- University at Buffalo, State University of New York (US)
- Montclair State University (US)
- ORCID
- Guo, Ling-Yu
- Venue
- Language, Speech, and Hearing Services in Schools
- Published
- 2015-04
- Volume
- 46
- Issue
- 2
- Pages
- 141-153
- ISSN
- 0161-1461 (ISSN-L)
- 1558-9129
- PMC
- PMC4610271
- OpenAlex
- W2085581407
- Cited by
- 51
- References
- 65
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 9 · 2023: 2 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 2 · 2017: 2 · 2015: 1
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Language Speech and Hearing Services in Schools (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Speech-Language-Hearing Association
- National Institutes of Health
- National Institute on Deafness and Other Communication Disorders (R21DC009218)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hearing Loss and Rehabilitation
- Social Sciences › Psychology › Developmental and Educational Psychology › Hearing Impairment and Communication
- Keywords
- sample size, reliability statistics, three-year-old children, mean length of utterance, language assessment, early childhood language
- MeSH terms
- Child Language, Child, Preschool, Female, Humans, Language Tests, Male, Parents, Play and Playthings, Time Factors, Reproducibility of Results
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