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Examination of adherence to Holland's vocational interest structure of temporary cash assistance recipients.

机译:检验对荷兰临时现金援助受助人的职业兴趣结构的遵守情况。

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The objective of this study was to determine whether Vocational Preference Inventory (VPI), a career assessment inventory designed to assist individuals identify jobs and career possibilities (Armstrong & Anthoney, 2009), would produce a good fit of Holland's interest structure model for welfare recipients. Specifically, the effectiveness of Holland's congruence notion of six interest-based categories: Realistic, Investigative, Artistic, Social, Enterprising, and Conventional (RIASEC) as classifiers of occupations for these individuals were examined using Confirmatory Factor Analysis (CFA) and Rasch techniques. The six career interest types are represented by a hexagon where relationship between them is inversely proportional to the distance between them (Bullock, Andrews, Braud, & Reardon, 2010; Deng, Armstrong, & Rounds, 2007), closest pairs have highest correlation followed by alternate pairs and lastly opposite pairs.;Our broad hypotheses tested the relationships among the interest pairs (adjacent, alternate, and opposite), reliability, and the interrelations of jobs that load onto each of these six subscales from which 11 specific hypotheses were derived. Data was drawn from two samples 2506 and 818 individuals who took the original VPI and individuals who took the VPI along with pictures respectively. For the sample that took original VPI, only one of Holland's order predictions was supported whereby, adjacent pairs had greater correlations than opposite pairs. For the sample that took VPI along with pictures, all adjacent and alternate pairs had greater correlation than opposite pairs, consistent with Holland's order prediction and a support of our second and third hypotheses. Consequently, CFA findings revealed the model with pictures was a better fit than the model with original VPI. Having pictures, improved the model by 23% i.e. 67% of sample data with original VPI and 90% of sample data with pictures conformed to Holland's order prediction respectively. Furthermore, similar findings were supported by Rasch fit statistics where there were more fitting jobs (43) from the sample that took VPI with pictures compared to 30 fitting jobs from the sample that took the original VPI. Although the presence of pictures was found to enhance model fit, none of our samples data entirely replicated Holland's model prediction.
机译:这项研究的目的是确定职业偏好清单(VPI)是一种旨在帮助个人识别工作和职业可能性的职业评估清​​单(Armstrong&Anthoney,2009),是否可以产生适合福利受益者的Holland利益结构模型。 。具体而言,使用验证性因素分析(CFA)和Rasch技术检查了荷兰基于兴趣的六个类别的一致性概念的有效性:现实,调查,艺术,社会,进取和常规(RIASEC)作为这些人的职业分类器。六种职业兴趣类型用六边形表示,它们之间的关系与它们之间的距离成反比(Bullock,Andrews,Braud和&Reardon,2010; Deng,Armstrong和&Rounds,2007),最接近的对具有最高的相关性。我们的广泛假设检验了兴趣对(相邻,交替和对立),可靠性以及加载到这六个子量表中的工作的相互关系,由此得出了11个具体假设。数据分别来自两个样本2506和818,他们分别是原始VPI的拍摄者和拍摄VPI的个人以及图片。对于采用原始VPI的样本,仅支持Holland的顺序预测之一,因此,相邻对之间的相关性要高于相反对。对于将VPI与图片一起拍摄的样本,所有相邻对和备用对都比相对对具有更大的相关性,这符合Holland的阶数预测以及我们第二和第三种假设的支持。因此,CFA的发现表明带有图片的模型比带有原始VPI的模型更适合。拥有图片可将模型改进23%,即分别具有67%的原始VPI样本数据和90%的具有图片的样本数据符合Holland的顺序预测。此外,Rasch拟合统计数据也支持类似的发现,在这些样品中,使用VPI拍摄图片的样本中有更多的拟合工作(43),而使用原始VPI的样本中有30个拟合工作。尽管发现图片可以增强模型拟合度,但我们的样本数据均无法完全复制Holland的模型预测。

著录项

  • 作者

    Mugo, Mercy W.;

  • 作者单位

    Morgan State University.;

  • 授予单位 Morgan State University.;
  • 学科 Psychology Psychometrics.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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