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Self-Report Tests of Personality01:22

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帮助他们! 我们需要一个措施:开发和评估多维同事支持量表 (MCSS)

Cheryl E Gray1, Isabel R Skovera1, Ian M Hughes2

  • 1Department of Psychology, Montclair State University.

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为了更好地衡量同事支持的复杂性,开发了一种新的多维同事支持量表 (MCSS). 这种经过验证的32项尺度为组织心理学中的研究和实际应用提供了更精确的工具.

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科学领域:

  • 组织心理学
  • 社会心理学
  • 心理测量

背景情况:

  • 现有的同事支持措施不足以捕捉其复杂和多方面的性质.
  • 之前的研究强调需要一个更全面的尺度来准确评估同事的支持.

研究的目的:

  • 开发和验证具有强大的心理特性的多维同事支持量表 (MCSS).
  • 创建一个表格, 捕捉同事支持的形式, 类型和帮助.

主要方法:

  • 开发遵循了Spector (1992) 的五个阶段过程:构造定义,规模设计,试点测试,项目分析和验证.
  • 总共有1695名参与者参与了规模的创建和评估.
  • 通过内容有效性,可靠性,收性,区分性和与标准相关的有效性以及因子结构分析来评估心理测量特性.

主要成果:

  • 最终的MCSS是一个32项,八维的尺度,每个子尺度有4项.
  • 该尺度在多个样本中显示出强大的可靠性和有效性.
  • 与现有尺度相比,MCSS解释了结果的额外差异,并显示与替代模型相比,数据更适合.

结论:

  • 提供精确测量同事支持的心理测量工具.
  • 这种规模对理论上的进步和工作场所干预的实际应用都有重要意义.
  • 这些发现强调了多维测量对于理解同事支持动态的重要性.