Articulation rate in preschool children: a 3‐year longitudinal study
Bibliographic record
Abstract
BACKGROUND: Speaking rate has implications for both clinical practice and an understanding of normal and disordered communication processes. Fundamental information on speaking rate is required by the clinician for the appropriate management of those disorders with disturbances of rate or those in which rate modification strategies are applied. One measure of speaking rate, articulation rate, excludes pause time and measures the speed with which articulators move. A developmental assessment of articulation rate is of particular interest because of its implications for changes in temporal motor aspects of speech production in development. AIMS: The fundamental aim was to provide longitudinal and normative data on articulation rate in a group of preschool children. The following questions were asked. What are the articulation rates and variability in rate at ages 4, 5 and 6, and is there a developmental trend? Are speaking context, utterance length and gender significant variables? METHODS & PROCEDURES: Speech samples from four speaking contexts, spontaneous, imitated, automatic (represented by nursery rhyme narration) and repetition, were elicited from 16 normally developing children (eight boys and eight girls) at ages 4, 5 and 6. Utterances were measured in syllables per second for runs of speech without pauses within each speaking context. OUTCOMES & RESULTS: In contrast to expectation, articulation rate did not increase significantly with age. Neither did variability of rate decrease with age. Results suggest that the course of development is non-linear. Automatic speech and repetition were significantly faster than imitated speech. An interaction between imitated speech and variability was found at age 4. Considerable individual differences in rate were identified. There were no gender differences and no correlations between articulation rate and utterance length. CONCLUSIONS: Unique information is provided on the development of speaking rate in preschool children together with additional normative data. The results have both theoretical and clinical implications. The data should assist the clinician in the assessment and diagnosis of rate and in rate modification management. Caution should be exercised in generalizing the results of the study in view of the small sample size and other factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".