Persch Andrew C, Gugiu P Cristian, Onate James A, Cleary Dennis S
Andrew C. Persch, PhD, OTR/L, is Assistant Professor, Division of Occupational Therapy, The Ohio State University, Columbus;
P. Cristian Gugiu, PhD, is Assistant Professor, Quantitative Research, Evaluation, and Measurement, The Ohio State University, Columbus.
Am J Occup Ther. 2015 Nov-Dec;69(6):6906180080p1-8. doi: 10.5014/ajot.2015.019455.
The objective of this study was to determine the psychometric properties of the Vocational Fit Assessment (VFA) by examining its factor structure and subscale reliability.
This prospective cross-sectional study used two surveys (one for worker abilities and one for job demands) to collect the data needed for the psychometric evaluation of the VFA. Latent parallel analysis and ordinal exploratory factor analysis were used to iteratively refine VFA subscales.
Ten unidimensional subscales emerged from factor analysis of VFA items: (1) Cognitive Abilities, (2) Communication Skills, (3) Computer Skills, (4) Higher Task-Related Abilities, (5) Interpersonal Skills, (6) Lower Task-Related Abilities, (7) Physical Abilities, (8) Safety, (9) Self-Determination, and (10) Work Structure. Subscale internal consistency (ordinal α) was ≥.86 for VFA for worker abilities and ≥.77 for VFA for job demands.
The unidimensional structure of VFA subscales and estimates of internal consistency lend initial evidence in support of their reliability and validity.
本研究的目的是通过检查职业适应性评估(VFA)的因子结构和子量表信度来确定其心理测量特性。
这项前瞻性横断面研究使用两项调查(一项针对工人能力,一项针对工作要求)来收集VFA心理测量评估所需的数据。使用潜在平行分析和有序探索性因子分析来迭代完善VFA子量表。
VFA项目的因子分析产生了10个单维子量表:(1)认知能力,(2)沟通技巧,(3)计算机技能,(4)较高的任务相关能力,(5)人际技能,(6)较低的任务相关能力,(7)身体能力,(8)安全,(9)自我决定,以及(10)工作结构。工人能力的VFA子量表内部一致性(有序α)≥0.86,工作要求的VFA子量表内部一致性≥0.77。
VFA子量表的单维结构和内部一致性估计为其信度和效度提供了初步证据支持。