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Record W2747424408 · doi:10.1097/aud.0000000000000485

Factorial Validity and Measurement Invariance of the Test of Preschool Early Literacy-Phonological Awareness Test Among Deaf and Hard-of-Hearing Children and Hearing Children

2017· article· en· W2747424408 on OpenAlexaff
Mi-Young Webb, Nicole Patton-Terry, Gary E. Bingham, Cynthia S. Puranik, Amy R. Lederberg

Bibliographic record

VenueEar and Hearing · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsEducation and Early Childhood Development
FundersInstitute of Education SciencesGeorgia State University
KeywordsPhonological awarenessPsychologyTest (biology)Developmental psychologyAudiologySocioeconomic statusLiteracyHearing lossMedicinePopulation

Abstract

fetched live from OpenAlex

OBJECTIVES: Emerging evidence suggests that early phonological awareness in deaf and hard-of-hearing (DHH) children with functional hearing is significantly related to their reading acquisition, and the assessment of phonological awareness can play a critical role in preventing reading difficulties. Validation of the scores obtained from standardized assessments when used with DHH students is crucial to support the assessments' intended interpretations and implications of test scores. Using archival data sets, the aim of this study was twofold: (a) to establish the factorial validity of the item scores on the Test of Preschool Early Literacy-Phonological Awareness (TOPEL-PA) for DHH children with functional hearing and hearing children and (b) to test measurement invariance across these groups. Our archival data sets included assessments of DHH children, hearing children from low socioeconomic status (SES) backgrounds, and hearing children from a range of SES backgrounds. We hypothesized that a second-order unifying ability, Phonological Awareness, along with four first-order subtest factors would explain inter-item associations among the 27 items on the TOPEL-PA. We further hypothesized that patterns of associations among the item scores would be similar across groups and that the individual items would function similarly across groups. DESIGN: Seven hundred and thirty-three children from three samples participated in the study; 171 were DHH children (Mage = 58.7 months old, SDage = 12.5 months old), 195 were low-SES hearing children (Mage = 55.5 months old, SDage = 3.5 months old), and 367 were diverse-SES hearing children (Mage = 53.4 months old, SDage = 8.9 months old). All DHH children were able to identify the referent of monosyllabic spoken words on the Early Speech Perception Test. RESULTS: Test of confirmatory item factor analyses of the hypothesized second-order factor structure revealed that a second-order unifying ability along with four first-order subtest factors well explained associations among the item scores for all groups. This aligned with the scoring structure of the TOPEL-PA, providing strong evidence for factorial validity of the item scores for DHH children as well as for hearing children groups. The measurement invariance test results provided evidence that the vast majority of TOPEL-PA items functioned similarly for hearing children and DHH children with speech perception abilities, suggesting that the utility of the assessment scores obtained from DHH children is consistent with the scores obtained from hearing children. CONCLUSION: Results of our study suggest that researchers and practitioners can use the TOPEL-PA to assess DHH children with functional hearing. It also suggests that the two skills measured on the TOPEL-PA (blending and elision) are qualitatively similar for DHH and hearing children, but the latent mean score obtained from the DHH children significantly differed from those of the hearing groups, suggesting a quantitative difference.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.296
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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