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Assessment of the dimensionality of the Wijma delivery expectancy/experience questionnaire using factor analysis and Rasch analysis

Overview of attention for article published in BMC Pregnancy and Childbirth, November 2016
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Title
Assessment of the dimensionality of the Wijma delivery expectancy/experience questionnaire using factor analysis and Rasch analysis
Published in
BMC Pregnancy and Childbirth, November 2016
DOI 10.1186/s12884-016-1157-8
Pubmed ID
Authors

J. F. Pallant, H. M. Haines, P. Green, J. Toohill, J. Gamble, D. K. Creedy, J. Fenwick

Abstract

Fear of childbirth has negative consequences for a woman's physical and emotional wellbeing. The most commonly used measurement tool for childbirth fear is the Wijma Delivery Expectancy Questionnaire (WDEQ-A). Although originally conceptualized as unidimensional, subsequent investigations have suggested it is multidimensional. This study aimed to undertake a detailed psychometric assessment of the WDEQ-A; exploring the dimensionality and identifying possible subscales that may have clinical and research utility. WDEQ-A was administered to a sample of 1410 Australian women in mid-pregnancy. The dimensionality of WDEQ-A was explored using exploratory (EFA) and confirmatory factor analysis (CFA), and Rasch analysis. EFA identified a four factor solution. CFA failed to support the unidimensional structure of the original WDEQ-A, but confirmed the four factor solution identified by EFA. Rasch analysis was used to refine the four subscales (Negative emotions: five items; Lack of positive emotions: five items; Social isolation: four items; Moment of birth: three items). Each WDEQ-A Revised subscale showed good fit to the Rasch model and adequate internal consistency reliability. The correlation between Negative emotions and Lack of positive emotions was strong, however Moment of birth and Social isolation showed much lower intercorrelations, suggesting they should not be added to create a total score. This study supports the findings of other investigations that suggest the WDEQ-A is multidimensional and should not be used in its original form. The WDEQ-A Revised may provide researchers with a more refined, psychometrically sound tool to explore the differential impact of aspects of childbirth fear.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Italy 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 16%
Student > Master 17 12%
Researcher 11 8%
Student > Doctoral Student 9 6%
Student > Bachelor 9 6%
Other 27 18%
Unknown 50 34%
Readers by discipline Count As %
Nursing and Health Professions 28 19%
Psychology 19 13%
Medicine and Dentistry 12 8%
Social Sciences 11 8%
Business, Management and Accounting 5 3%
Other 16 11%
Unknown 55 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2017.
All research outputs
#13,488,874
of 22,903,988 outputs
Outputs from BMC Pregnancy and Childbirth
#2,505
of 4,213 outputs
Outputs of similar age
#207,110
of 414,929 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#50
of 75 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,213 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 414,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.