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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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通过不合并多项量表来提高预测能力.

David Trafimow1, Michael R Hyman2, Alena Kostyk3

  • 1Department of Psychology, New Mexico State University.

Psychological methods
|July 20, 2023
PubMed
概括

社会科学中的小相关系数阻碍了预测. 这项研究揭示了项目间相关性如何不同地影响预测能力,这取决于项目是否被视为规模组件或单独处理,挑战传统实践.

科学领域:

  • 社会科学 社会科学 社会科学
  • 心理测量 心理测量 心理测量
  • 统计建模 统计建模

背景情况:

  • 社会科学中的小相关系数往往会导致理论测试和预测方面的问题.
  • 传统的公式,如斯皮尔曼的减弱公式和克朗巴赫的α,通常用于评估尺度可靠性和预测能力.

研究的目的:

  • 调查社会科学研究中小相关系数的潜在原因.
  • 检查间项目相关性如何影响在不同处理条件下 (尺度组件与单独项目) 的尺度的预测能力.

主要方法:

  • 重新评估传统的心理测量方程,包括斯皮尔曼 (1904年) 的减弱公式,克朗巴赫 (1951) 的α,以及吉尔福德和弗鲁赫特 (1973) 的方程.
  • 分析项目间相关性对预测能力的差异影响.

主要成果:

  • 当项目被视为多项目规模组件时,项目间的相关性可能会降低预测能力.
  • 相反,当项目被视为单独的预测器时,高的项目间相关性可以增加预测能力.
  • 这些发现挑战了关于对项目间相关性解释的传统做法.

结论:

  • 项目处理的方式 (作为组件或单独处理) 显著改变了项目间相关性对预测能力的影响.

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  • 了解这些细微差别对于社会科学中准确的理论测试和预测至关重要.
  • 这项研究的含义很广泛,影响了尺度构造和数据解释.