Development and Validation of Age-Specific Resilience Instruments for Early Childhood Assessment : A Taiwan Birth Cohort Study
Copyright © 2022 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved..
BACKGROUND: We sought to develop and validate age-specific instruments for measuring early childhood resilience at ages 3, 5 and 8 in the Taiwan Birth Cohort Study, a national longitudinal study.
METHODS: Using data from 18,553 mother-infant pairs, we conducted exploratory factor analysis (EFA) on a simple random half of our sample. We then used the remaining half of these data for confirmatory factor analysis (CFA) to further assess the fit of 3 CFA models (ie, first-order, second-order, and bifactor). Psychometric properties, distributions, and inter-item and inter-factor correlations of each instrument were also evaluated.
RESULTS: EFA and CFA showed that the bifactor model of resilience (which included a general resilience factor and 5 specific factors) had the best fit for all 3 resilience scales, with 19 items at year 3, 18 items at year 5, and 19 items at year 8. All 3 resilience scales showed good psychometric properties, including construct validity, internal consistency, and normal distributions. For predictive validity, we found that in the face of adversity (measured by the High Risk Family Score), individuals with high resilience scores at age 3 had better general health scores at ages 3, 5, and 8 compared to those with low resilience scores.
CONCLUSIONS: We describe the development and validation of age-appropriate survey instruments to assess resilience in young children at the population level. These instruments can be used to better understand how resilience can impact child health over time, and to identify key factors that can foster resilience.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
Academic pediatrics - 22(2022), 7 vom: 25. Sept., Seite 1142-1152 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hsing, Julianna C [VerfasserIn] |
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| Links: |
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| Themen: |
Early childhood |
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| Anmerkungen: |
Date Completed 08.09.2022 Date Revised 18.01.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.acap.2022.06.002 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a BACKGROUND: We sought to develop and validate age-specific instruments for measuring early childhood resilience at ages 3, 5 and 8 in the Taiwan Birth Cohort Study, a national longitudinal study | ||
| 520 | |a METHODS: Using data from 18,553 mother-infant pairs, we conducted exploratory factor analysis (EFA) on a simple random half of our sample. We then used the remaining half of these data for confirmatory factor analysis (CFA) to further assess the fit of 3 CFA models (ie, first-order, second-order, and bifactor). Psychometric properties, distributions, and inter-item and inter-factor correlations of each instrument were also evaluated | ||
| 520 | |a RESULTS: EFA and CFA showed that the bifactor model of resilience (which included a general resilience factor and 5 specific factors) had the best fit for all 3 resilience scales, with 19 items at year 3, 18 items at year 5, and 19 items at year 8. All 3 resilience scales showed good psychometric properties, including construct validity, internal consistency, and normal distributions. For predictive validity, we found that in the face of adversity (measured by the High Risk Family Score), individuals with high resilience scores at age 3 had better general health scores at ages 3, 5, and 8 compared to those with low resilience scores | ||
| 520 | |a CONCLUSIONS: We describe the development and validation of age-appropriate survey instruments to assess resilience in young children at the population level. These instruments can be used to better understand how resilience can impact child health over time, and to identify key factors that can foster resilience | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a early childhood | |
| 650 | 4 | |a general health | |
| 650 | 4 | |a psychometric properties | |
| 650 | 4 | |a resilience | |
| 700 | 1 | |a Lin, Bea-Jane |e verfasserin |4 aut | |
| 700 | 1 | |a Pulendran, Uma |e verfasserin |4 aut | |
| 700 | 1 | |a Jani, Shilpa G |e verfasserin |4 aut | |
| 700 | 1 | |a Chiang, Wan-Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Chiang, Tung-Liang |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, C Jason |e verfasserin |4 aut | |
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