Work Description

Title: Morphological and phonological processing in English monolingual, Chinese-English bilingual, and Spanish-English bilingual children: A behavioral dataset (T2) Open Access Deposited

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Methodology
  • Behavioral Measures: Comprehensive Test of Phonological Processing Elision Subset (CTOPP), Self-developed Syllable and Phoneme Elision task (Chinese), Test of Phonological Processing in Spanish (TOPPS), Self-developed Early Lexical Morphology Measure (ELMM), Self-developed Morphological Construction Test (Chinese), Self-developed Early Lexical Morphology Measure -Spanish (ELMM-S), Peabody Picture Vocabulary Test-5 (PPVT), Peabody Picture Vocabulary Test-Revised, Test de Vocabulario en Imágenes Peabody (TVIP), Woodcock Johnson-4 Word Attack Subset (WJ-WA), Woodcock Johnson-4 Letter-word Identification Subset (WJ-LWID), Woodcock Johnson-4 Passage Comprehension Subset (WJ-PC), Woodcock Johnson-4 Sentence Reading Fluency Subset (WJ-SRF), RAN and TOWRE.

  • This is the continuation of the project (T2) of the work entitled: Morphological and phonological processing in English monolingual, Chinese-English bilingual, and Spanish-English bilingual children: An fNIRS neuroimaging dataset ( https://doi.org/10.7302/kxgf-ps11).
Description
  • In a broad sense, this dataset explores morphological and phonological processing in English monolinguals and two bilingual populations, Chinese-English and Spanish-English, using a battery of standardized and self-developed behavioral measures. Language: English - Spanish - Chinese
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Last modified
  • 11/17/2022
Published
  • 11/17/2022
DOI
  • https://doi.org/10.7302/9hdp-cf55
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To Cite this Work:
Hernandez, I., Sun, X., Zhang, K., Marks, R., Karas, Z., Eggleston, R., Nickerson, N., Yu, C., Wagley, N., Hu, X., Caruso, V., Tardif, T., Satterfield, T., Chou, T., Kovelman, I. (2022). Morphological and phonological processing in English monolingual, Chinese-English bilingual, and Spanish-English bilingual children: A behavioral dataset (T2) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/9hdp-cf55

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Files (Count: 17; Size: 6.47 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Data_Manuscript_T2.docx 2022-11-17 2022-11-17 404 KB Open Access
R01_T2_Behavioral_Measures.xlsx 2022-11-17 2022-11-17 422 KB Open Access
R01_T2_Behavioral_Measures_README.csv 2022-11-17 2022-11-17 5.99 KB Open Access
R01_T2_Behavioral_Measures_Monol...s.csv 2022-11-17 2022-11-17 37.6 KB Open Access
R01_T2_Behavioral_Measures_Spani...s.csv 2022-11-17 2022-11-17 11.5 KB Open Access
R01_T2_Behavioral_Measures_Chine...s.csv 2022-11-17 2022-11-17 9.55 KB Open Access
RO1_T2_In-Lab_Parent_Questionnaire.xlsx 2022-11-17 2022-11-17 1.47 MB Open Access
R01_T2_In-Lab_Questionnaire_label.csv 2022-11-17 2022-11-17 65.4 KB Open Access
R01_T2_In-Lab_Questionnaire_Mono...s.csv 2022-11-17 2022-11-17 154 KB Open Access
R01_T2_In-Lab_Questionnaire_Span...h.csv 2022-11-17 2022-11-17 248 KB Open Access
R01_T2_In-Lab_Questionnaire_Chin...h.csv 2022-11-17 2022-11-17 244 KB Open Access
In-Lab_Parent_Questionnaire_Mono....docx 2022-11-17 2022-11-17 53.5 KB Open Access
In-Lab_Parent_Questionnaire_Span....docx 2022-11-17 2022-11-17 53.5 KB Open Access
In-Lab_Parent_Questionnaire_Chin....docx 2022-11-17 2022-11-17 53 KB Open Access
Consent_Form.pdf 2022-11-17 2022-11-17 487 KB Open Access
Assent_Form.pdf 2022-11-17 2022-11-17 165 KB Open Access
Self-developed_Behavioral_Measures.zip 2022-11-17 2022-11-17 2.64 MB Open Access

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