首页> 美国卫生研究院文献>other >Examining the Effect of Reverse Worded Items on the Factor Structure of the Need for Cognition Scale
【2h】

Examining the Effect of Reverse Worded Items on the Factor Structure of the Need for Cognition Scale

机译:研究反向词语对认知量表需求因素结构的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Reverse worded (RW) items are often used to reduce or eliminate acquiescence bias, but there is a rising concern about their harmful effects on the covariance structure of the scale. Therefore, results obtained via traditional covariance analyses may be distorted. This study examined the effect of the RW items on the factor structure of the abbreviated 18-item Need for Cognition (NFC) scale using confirmatory factor analysis. We modified the scale to create three revised versions, varying from no RW items to all RW items. We also manipulated the type of the RW items (polar opposite vs. negated). To each of the four scales, we fit four previously developed models. The four models included a 1-factor model, a 2-factor model distinguishing between positively worded (PW) items and RW items, and two 2-factor models, each with one substantive factor and one method factor. Results showed that the number and type of the RW items affected the factor structure of the NFC scale. Consistent with previous research findings, for the original NFC scale, which contains both PW and RW items, the 1-factor model did not have good fit. In contrast, for the revised scales that had no RW items or all RW items, the 1-factor model had reasonably good fit. In addition, for the scale with polar opposite and negated RW items, the factor model with a method factor among the polar opposite items had considerably better fit than the 1-factor model.
机译:逆词(RW)项目通常用于减少或消除默认偏差,但是人们越来越担心它们对量表的协方差结构的有害影响。因此,通过传统协方差分析获得的结果可能会失真。这项研究使用验证性因子分析研究了RW项目对18个缩写的“认知需要”量表(NFC)的因子结构的影响。我们修改了比例尺以创建三个修订版本,从无RW项目到所有RW项目不等。我们还操纵了RW项目的类型(极性相反或否定)。对于这四个比例尺,我们都适合四个以前开发的模型。这四个模型包括一个1因子模型,一个区分正词(PW)项和RW项的2因子模型,以及两个2因子模型,每个模型都有一个实质性因子和一个方法性因子。结果表明,RW项目的数量和类型影响了NFC规模的因子结构。与之前的研究结果一致,对于同时包含PW和RW项的原始NFC量表,一因素模型不具有很好的拟合度。相反,对于没有RW项目或所有RW项目的修订量表,一因素模型具有相当好的拟合度。此外,对于带有极性相反的项目和负RW项目的比例,在极性相反的项目中具有方法因子的因子模型比1因子模型具有更好的拟合度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号