Khampirat Buratin
Institute of Social Technology, Suranaree University of Technology, Nakhon Ratchasima, Thailand.
Front Psychol. 2024 Jan 31;15:1338401. doi: 10.3389/fpsyg.2024.1338401. eCollection 2024.
This study aimed to evaluate the psychometric properties of the Career Adapt-abilities Scale (CAAS) and analyze the relationships between sociodemographic variables and career adaptability using the MIMIC model with DIF.
In this cross-sectional study, the CAAS, consisting of four sub-scales-concern, control, curiosity, and confidence-each comprising six items, was administered to 620 undergraduate students from 34 universities in Thailand. Among the participants, women constituted 66.77%, while men accounted for 32.58% (Mean Age = 20.33). To explore the influence of sociodemographic characteristics on specific CAAS item responses, a Multiple-Indicators, Multiple-Causes model with Differential Item Functioning (MIMIC-model with DIF) was employed.
The findings revealed robust internal consistency and reliability in the CAAS. Both the four-factor and second-order factor models exhibited excellent fit indices, emphasizing the significance of each item within the measure. Sociodemographic characteristics did not demonstrate a significant direct effect on the four CAAS subscales, it is worth noting the exception regarding paternal education. Paternal education was found to have a statistical significance impact on two specific CAAS items: "looking for opportunities to grow as a person" and "becoming curious about new opportunities."
These findings underscore the intricate influence of paternal education on specific aspects of career adaptability, suggesting that certain dimensions of career adaptability may be shaped by factors extending beyond the conventional sociodemographic variables examined in this study. Future research could delve deeper into the complex interplay of sociodemographic factors and individual attributes to provide a more holistic perspective on career adaptability in Thailand.
本研究旨在评估职业适应能力量表(CAAS)的心理测量特性,并使用具有差异项目功能(DIF)的多指标多原因模型(MIMIC模型)分析社会人口统计学变量与职业适应性之间的关系。
在这项横断面研究中,对来自泰国34所大学的620名本科生施测了CAAS,该量表由四个子量表组成,即关注、控制、好奇心和信心,每个子量表包含六个项目。参与者中,女性占66.77%,男性占32.58%(平均年龄=20.33岁)。为了探讨社会人口统计学特征对CAAS特定项目反应的影响,采用了具有差异项目功能的多指标多原因模型(带DIF的MIMIC模型)。
研究结果显示CAAS具有较强的内部一致性和可靠性。四因素模型和二阶因素模型均显示出优异的拟合指数,强调了该测量中每个项目的重要性。社会人口统计学特征对CAAS的四个子量表未显示出显著的直接影响,值得注意的是父亲教育程度这一例外情况。研究发现父亲教育程度对CAAS的两个特定项目具有统计学显著影响:“寻找个人成长机会”和“对新机会产生好奇”。
这些发现强调了父亲教育程度对职业适应性特定方面的复杂影响,表明职业适应性的某些维度可能受到本研究中所考察的传统社会人口统计学变量之外的因素影响。未来的研究可以更深入地探究社会人口统计学因素与个体属性之间的复杂相互作用,以提供关于泰国职业适应性的更全面视角。