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Item response modeling: a psychometric assessment of the children’s fruit, vegetable, water, and physical activity self-efficacy scales among Chinese children

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, September 2017
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Title
Item response modeling: a psychometric assessment of the children’s fruit, vegetable, water, and physical activity self-efficacy scales among Chinese children
Published in
International Journal of Behavioral Nutrition and Physical Activity, September 2017
DOI 10.1186/s12966-017-0584-x
Pubmed ID
Authors

Jing-Jing Wang, Tzu-An Chen, Tom Baranowski, Patrick W.C. Lau

Abstract

This study aimed to evaluate the psychometric properties of four self-efficacy scales (i.e., self-efficacy for fruit (FSE), vegetable (VSE), and water (WSE) intakes, and physical activity (PASE)) and to investigate their differences in item functioning across sex, age, and body weight status groups using item response modeling (IRM) and differential item functioning (DIF). Four self-efficacy scales were administrated to 763 Hong Kong Chinese children (55.2% boys) aged 8-13 years. Classical test theory (CTT) was used to examine the reliability and factorial validity of scales. IRM was conducted and DIF analyses were performed to assess the characteristics of item parameter estimates on the basis of children's sex, age and body weight status. All self-efficacy scales demonstrated adequate to excellent internal consistency reliability (Cronbach's α: 0.79-0.91). One FSE misfit item and one PASE misfit item were detected. Small DIF were found for all the scale items across children's age groups. Items with medium to large DIF were detected in different sex and body weight status groups, which will require modification. A Wright map revealed that items covered the range of the distribution of participants' self-efficacy for each scale except VSE. Several self-efficacy scales' items functioned differently by children's sex and body weight status. Additional research is required to modify the four self-efficacy scales to minimize these moderating influences for application.

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X Demographics

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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Researcher 8 11%
Student > Master 8 11%
Student > Doctoral Student 7 10%
Lecturer 5 7%
Other 13 18%
Unknown 19 27%
Readers by discipline Count As %
Sports and Recreations 14 20%
Psychology 10 14%
Nursing and Health Professions 9 13%
Medicine and Dentistry 5 7%
Economics, Econometrics and Finance 3 4%
Other 9 13%
Unknown 21 30%
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 18 September 2017.
All research outputs
#13,570,270
of 23,002,898 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#1,695
of 1,937 outputs
Outputs of similar age
#146,897
of 289,792 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#42
of 44 outputs
Altmetric has tracked 23,002,898 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 1,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one is in the 11th percentile – i.e., 11% 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 289,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.