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Psychometric testing of the support and control in birth scale

BACKGROUND: The Support and Control in Birth (SCIB) scale primarily measures the perceived support and control of expectant mothers during childbirth, thereby obtaining an understanding of their birth experiences. The advantages of this scale are its good reliability and validity and that it consoli...

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Autores principales: Liu, Shu-Yu, Lu, Yu-Ying, Gau, Meei-Ling, Liu, Chieh-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222319/
https://www.ncbi.nlm.nih.gov/pubmed/32410593
http://dx.doi.org/10.1186/s12884-020-02888-x
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author Liu, Shu-Yu
Lu, Yu-Ying
Gau, Meei-Ling
Liu, Chieh-Yu
author_facet Liu, Shu-Yu
Lu, Yu-Ying
Gau, Meei-Ling
Liu, Chieh-Yu
author_sort Liu, Shu-Yu
collection PubMed
description BACKGROUND: The Support and Control in Birth (SCIB) scale primarily measures the perceived support and control of expectant mothers during childbirth, thereby obtaining an understanding of their birth experiences. The advantages of this scale are its good reliability and validity and that it consolidates birth support and control. However, a Chinese version of the scale has yet to be developed. Therefore, this study sought to evaluate the validity and reliability of a Chinese version of the Support and Control in Birth Scale (C-SCIB). METHODS: A total of 228 postpartum women participated in this study. The C-SCIB scale was developed through a translation and back translation, followed by an evaluation of its content validity by a group of experts. Cronbach’s α internal consistency and test-retest reliability were used to test the reliability of the scale. In addition, criterion-related validity (predictive validity and concurrent validity) and construct validity were used to test the validity of the scale. RESULTS: The C-SCIB scale showed good results in terms of the item-level and scale-level content validity indices. The Cronbach’s α internal consistency was 0.81, and its test-retest reliability was 0.96. The confirmatory factor analysis results showed the overall goodness-of-fit was parsimony fit indices. The predictive validity analysis showed a significant positive correlation between the C-SCIB scale and the Questionnaire Measuring Attitudes About Labor and Delivery (r = 0.31, p < 0.01). Furthermore, the concurrent validity analysis showed a significant and moderate correlation between the C-SCIB and the Bryanton Adaptation of the Nursing Support in Labor Questionnaire (r = 0.49, p < 0.01) as well as the Labor Agentry Scale (r = 0.51, p < 0.01). CONCLUSION: The C-SCIB scale was proven to have good reliability and validity, and thus can be used to measure the degree of support and the locus of control perceived by expectant women during labor.
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spelling pubmed-72223192020-05-20 Psychometric testing of the support and control in birth scale Liu, Shu-Yu Lu, Yu-Ying Gau, Meei-Ling Liu, Chieh-Yu BMC Pregnancy Childbirth Research Article BACKGROUND: The Support and Control in Birth (SCIB) scale primarily measures the perceived support and control of expectant mothers during childbirth, thereby obtaining an understanding of their birth experiences. The advantages of this scale are its good reliability and validity and that it consolidates birth support and control. However, a Chinese version of the scale has yet to be developed. Therefore, this study sought to evaluate the validity and reliability of a Chinese version of the Support and Control in Birth Scale (C-SCIB). METHODS: A total of 228 postpartum women participated in this study. The C-SCIB scale was developed through a translation and back translation, followed by an evaluation of its content validity by a group of experts. Cronbach’s α internal consistency and test-retest reliability were used to test the reliability of the scale. In addition, criterion-related validity (predictive validity and concurrent validity) and construct validity were used to test the validity of the scale. RESULTS: The C-SCIB scale showed good results in terms of the item-level and scale-level content validity indices. The Cronbach’s α internal consistency was 0.81, and its test-retest reliability was 0.96. The confirmatory factor analysis results showed the overall goodness-of-fit was parsimony fit indices. The predictive validity analysis showed a significant positive correlation between the C-SCIB scale and the Questionnaire Measuring Attitudes About Labor and Delivery (r = 0.31, p < 0.01). Furthermore, the concurrent validity analysis showed a significant and moderate correlation between the C-SCIB and the Bryanton Adaptation of the Nursing Support in Labor Questionnaire (r = 0.49, p < 0.01) as well as the Labor Agentry Scale (r = 0.51, p < 0.01). CONCLUSION: The C-SCIB scale was proven to have good reliability and validity, and thus can be used to measure the degree of support and the locus of control perceived by expectant women during labor. BioMed Central 2020-05-14 /pmc/articles/PMC7222319/ /pubmed/32410593 http://dx.doi.org/10.1186/s12884-020-02888-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Shu-Yu
Lu, Yu-Ying
Gau, Meei-Ling
Liu, Chieh-Yu
Psychometric testing of the support and control in birth scale
title Psychometric testing of the support and control in birth scale
title_full Psychometric testing of the support and control in birth scale
title_fullStr Psychometric testing of the support and control in birth scale
title_full_unstemmed Psychometric testing of the support and control in birth scale
title_short Psychometric testing of the support and control in birth scale
title_sort psychometric testing of the support and control in birth scale
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222319/
https://www.ncbi.nlm.nih.gov/pubmed/32410593
http://dx.doi.org/10.1186/s12884-020-02888-x
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