Data on the acceptance of a tourism navigation system applying structuring equation modeling analysis

Chiao, Huei-Ming; Chen, Yuli; Huang, Wei-Hsin

doi:10.1016/j.dib.2018.09.002

Cited by 2 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Amos 23.0 was used for the modeling. The structural equation model (SEM) was acceptable with the following indexes: x 2 / df < 3; root mean square error of approximation (RMSEA) < 0.08; goodness of fit index (GFI) and adjusted goodness of fit index (AGFI) values > 0.90; comparative fit index (CFI) and normed fit index (NFI) values > 0.90; and incremental fit index (IFI) and relative fit index (RFI) values > 0.90 [ 42 ].…”

Section: Methodsmentioning

confidence: 99%

“…The scale included four domains: fear of fetal health; fear of losing control during childbirth; fear of childbirth pain; fear of medical intervention and the hospital environment. CAQ total scores were categorized as none (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27), mild (28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39), moderate (40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51) and severe (52)(53)(54)(55)(56)(57)(58)(59)(60)(61)(62)(63)(64). Wei wand her colleagues translated the scale into Chines...…”

Section: Fear Of Childbirthmentioning

confidence: 99%

See 1 more Smart Citation

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis

Huang

et al. 2021

BMC Pregnancy Childbirth

View full text Add to dashboard Cite

Background Fear of childbirth (FOC) occurs before, during and after pregnancy and is harmful to both the pregnant woman and the fetus. Identifying the prevalence and predictors of FOC can help us generate strategies for alleviating women’s FOC. Methods A cross-sectional study was conducted among a convenience sample of 646 pregnant women receiving antenatal care at a subordinate hospital of a university in China. Data were collected using a basic information form, the Childbirth Attitude Questionnaire, the Childbirth Self-Efficacy Inventory, and the 10-item Connor-Davidson Resilience Scale. The minimum and maximum total scores of the Childbirth Attitude Questionnaire are 16 and 64, respectively, with higher scores reflecting a greater degree of FOC. We conducted hierarchical regression analysis to explore the predictors of FOC and used a structural equation model to further examine the direct and indirect associations between FOC, resilience and childbirth self-efficacy. Results The total prevalence of FOC was 67.1%. The percentages of women with mild (score of 28–39), moderate (40–51), and severe FOC (52–64) were 45.4, 19.5, and 2.2%, respectively. The average score on the Childbirth Attitude Questionnaire was 32.49, indicating mild FOC. The final regression analysis revealed six variables predicting FOC that explained 64.5% of the variance in FOC: age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy. Furthermore, childbirth self-efficacy mediated the relationship between resilience and FOC, and the mediation effect rate was 53.5%. Conclusions A high prevalence of FOC among pregnant Chinese women was found in this study. Age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy were predictors of FOC. It is suggested that healthcare professionals should pay close attention to FOC and implement targeted interventions in accordance with these predictors, especially resilience and childbirth self-efficacy.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Fear Of Childbirthmentioning

confidence: 99%

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis

Huang

et al. 2021

BMC Pregnancy Childbirth

View full text Add to dashboard Cite

show abstract

“…CFA was used to investigate the factor structure obtained from the 4-factor model. The standardized RMR (SRMR) < 0.1, root mean square error of approximation (RMSEA) < 0.1, comparative fit index (CFI) > 0.9, goodness-of-fit index (GFI) > 0.9, adjusted GFI (AGFI) > 0.85, chi-square/ degrees of freedom (CMIN/DF) <5 were used to test the overall fitness of the model (37). The sample size in CFA is 200 people (38).…”

Section: Confirmatory Factor Analysis (Cfa)mentioning

confidence: 99%

Validation of the Slade Fear of Childbirth Scale for Pregnancy in a Sample of Iranian Women: A Crosssectional Study

Sanjari

Fakhraei

Soleimani

et al. 2022

Crescent J Med Biol Sci

View full text Add to dashboard Cite

Objectives: The existence of a valid scale of fear of childbirth (FOC) has an effective role in identifying women at risk, so this study was conducted to determine the validation of the Slade FOC scale for pregnancy in a sample of Iranian women. Materials and Methods: In this cross-sectional study, initially, the Slade scale was translated based on a forward-backward approach. For sampling among pregnant women in Anbarabad city, 820 pregnant women were selected by multistage cluster sampling method. The research questionnaire included (a) demographic information, (b) Slade FOC scale (new scale), (c) childbirth attitude questionnaire (validated scale), and (d) Wijma scale (validated scale). Face validity, content validity, construct validity (using factor analysis), convergent validity, and concurrent validity (by calculating the present scale correlation with childbirth attitude questionnaire and Wijma scale were used to determine the validity of the scale. Internal consistency (Cronbach’s alpha), split-half, and stability (test-retest) methods were used for scale reliability. SPSS software version 22 and LISREL version 8.8 were used for data analysis. Results: Target population comments were applied in face validity, the impact score of face validity was in the range of 1.6-4.5. Content validity ratio (CVR) values (81%-100%) and content validity index (CVI) value (83%) were acceptable. The exploratory factor analysis (EFA) showed that the scale had four factors which include uncertainty and injury with 18.39%, the unprofessional behavior of maternity staff with 14.51%, the unpredictable with 14.44%, and negative emotions with 10.54% of the variance. The scale had acceptable convergent validity and the correlation between items and the total score was between 0.41-0.63. The correlation coefficient between the present scale with the childbirth attitude questionnaire and Wijma scale was 0.81 and 0.79, respectively. The reliability result showed an acceptable internal consistency (Cronbach’s alpha = 0.84), acceptable split-half (0.71 for the first half of scale and 0.78 for the second half of scale) and acceptable stability (r = 0.78). Conclusions: The results showed that the Slade scale has acceptable validity and reliability. Therefore, this scale can be used in scientific research and screening for FOC.

show abstract

Data on the acceptance of a tourism navigation system applying structuring equation modeling analysis

Cited by 2 publications

References 4 publications

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis

Validation of the Slade Fear of Childbirth Scale for Pregnancy in a Sample of Iranian Women: A Crosssectional Study

Contact Info

Product

Resources

About