Combining Parallel and Exploratory Factor Analysis in Identifying Relationship Scales in Secondary Data.
Combining Parallel and Exploratory Factor Analysis in Identifying Relationship Scales in Secondary Data.
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DOI：
10.1080/01494929.2015.1059785
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发表时间：
2015
影响因子：
1.3
通讯作者：
Bowling J
中科院分区：
文献类型：
--
作者：
Wood ND;Akloubou Gnonhosou DC;Bowling J
文献中用于识别探索性因素分析中的因素的常用方法已被证明可能存在问题。这份简要的报告说明了一种最先进的方法，通过在探索性因素分析之前添加平行分析来确定因素结构。平行分析使研究人员在探索性因素分析之前对提取的因素数量有高度的信心。该程序说明使用的项目，从全国家庭和住户调查（NSFH），用于确定关系尺度。
Common methods used in the literature to identify factors within exploratory factor analysis has been shown to be potentially problematic. This brief report illustrates a state of the art approach in identifying factor structure by adding parallel analysis prior to exploratory factor analysis. Parallel analysis enables researchers to have a high degree of confidence of the number of factors to extract prior to exploratory factor analysis. The procedure is illustrated by using items from the National Survey of Families and Households (NSFH) that were used to identify relationship scales.