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Measurement invariance across Genders on the Childhood Illness Attitude Scales (CIAS)

机译:儿童疾病态度尺度的性别的测量不变性(CIAS)

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Abstract Objective The Childhood Illness Attitude Scales (CIAS) were created as a developmentally appropriate measure for symptoms of health anxiety (HA) in school-aged children. Despite overall sound psychometric properties reported in previous studies, more comprehensive examination of the latent structure and potential response bias in the CIAS is needed. The purpose of the present study was to cross-validate the latent structure of the CIAS across genders and to examine gender-specific variations in CIAS scores. Methods The sample comprised data from 602 Canadian and Danish school-aged children ( M age = 10.54, SD = 0.99; 52.5% girls). Confirmatory factor analyses were conducted to test 3-, modified 3-, and 4-factor models in both samples. Multigroup confirmatory factor analysis was performed to test factor structure invariance across boys and girls in a combined sample. Differential Item Functioning (DIF) was assessed using test characteristic curves. Results A modified 3-factor solution (i.e., fears = 11 items, help-seeking = 6 items, and symptom effects = 4 items) provided the best fit to the data ( χ 2 (364, N = 602) = 681.7, p 0.001; χ 2 /df = 1.803; RMSEA = 0.037; CFI = 0.926). The factor structure was stable, well-fitting, and indicated measurement invariance across groups. DIF analyses revealed no gender-based response bias at the scale level. Conclusion Results support a revised 3-factor version of the CIAS that can be used with confidence to assess symptoms of HA in school-aged boys and girls. Highlights ? A modified 3-factor solution comprised of 21 items is proposed ? Measurement invariance was found across groups ? No gender-based response bias was found on the CIAS
机译:摘要目的编制儿童疾病态度量表(CIA),作为学龄儿童健康焦虑(HA)症状的一种发育适宜的测量方法。尽管之前的研究报告了整体良好的心理测量学特性,但仍需要对CIA中的潜在结构和潜在反应偏差进行更全面的检查。本研究的目的是交叉验证跨性别CIA的潜在结构,并检查CIA分数中的性别差异。方法样本包括602名加拿大和丹麦学龄儿童的数据(M年龄=10.54,SD=0.99;52.5%的女孩)。对两个样本进行验证性因素分析,以检验3因素、修正3因素和4因素模型。多组验证性因素分析用于测试组合样本中男孩和女孩的因素结构不变性。使用测试特征曲线评估差异项目功能(DIF)。结果改良的三因素解决方案(即恐惧=11项,寻求帮助=6项,症状影响=4项)与数据最为吻合(χ2(364,N=602)=681.7,p;0.001; χ2/df=1.803;RMSEA=0.037;CFI=0.926)。因子结构稳定、拟合良好,并显示各组间的测量不变性。DIF分析显示,在量表层面上没有基于性别的反应偏差。结论研究结果支持修订后的3因素版CIAS,可以自信地用于评估学龄男孩和女孩的HA症状。亮点?提出了一个由21项组成的改进的三因素解决方案?各组间的测量不变性?基于CIA的性别反应未发现性别偏见

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