Sensory Features of Young Children From a Large Community Sample: Latent Factor Structures of the Sensory Experiences Questionnaire (Version 2.1, Short Form)
Bibliographic record
Abstract
IMPORTANCE: Although three sensory factors (hyperresponsiveness [HYPO]; hyporesponsiveness [HYPER]; and sensory interests, repetitions, and seeking behaviors [SIRS]) have been demonstrated among a wide age range of clinical populations, they have not been well validated in the general population, especially with a large community sample of young children. OBJECTIVE: To validate the factor structure of the Sensory Experiences Questionnaire (Version 2.1, Short Form; SEQv2.1) in a community sample and to confirm the factor structure's existence in this sample. DESIGN: Caregivers completed the SEQv2.1, a parent-reported questionnaire designed to capture children's everyday sensory experiences. The latent factors of the SEQv2.1 were examined using confirmatory factor analysis. SETTING: North Carolina. PARTICIPANTS: Caregivers of 2,195 children age 3 yr were initially recruited through state birth records and were eligible to participate if the child did not have a history of serious medical problems and English was the family's primary language. OUTCOMES AND MEASURES: SEQv2.1. RESULTS: The SEQv2.1 showed validity in the community sample. Similar to previous research with clinical populations, the three broad patterns of sensory responsiveness were also confirmed in this large community sample of young children, but associations among the factors differed. CONCLUSIONS AND RELEVANCE: Validation of the three-sensory-factor structure in the general population suggests that these constructs are similar to those found with samples of participants with autism spectrum disorder and developmental disabilities. This finding underscores the importance of understanding the normative development of sensory features across a wider age range to better delineate qualitative differences underlying sensory features between clinical and general populations. What This Article Adds: Occupational therapists seeking to assess children's sensory features can use the SEQv2.1 not only with clinical samples but also with children in the general population.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".