人工神经网络用于心理测试的简短形式开发:使用自动编码器对合成人群的研究.
Monica Casella1, Pasquale Dolce1, Michela Ponticorvo1
1University of Naples Federico II, Italy.
Educational and psychological measurement
|January 22, 2024
概括
这项研究引入了一种新的机器学习方法,用于开发更短的心理测试. 自动编码器自动选择项目,保留原始测试.
科学领域:
- 心理测量研究 心理测量研究
- 机器学习 机器学习
- 人工智能的人工智能
背景情况:
- 心理测量的传统简短形式开发方法依赖于探索性模型,其假设往往无法通过心理数据得到满足.
- 测试缩短的方法选择对研究人员来说至关重要.
- 现有的计算方法可能无法完全捕捉数据特征.
研究的目的:
- 提出基于机器学习的自主程序,用于开发简短的形式.
- 为了研究测试缩短的自动编码器的项目选择性能.
- 将拟议的方法与现有的计算方法进行比较.
主要方法:
- 使用自动编码器,一种人工神经网络,用于短形式开发中的项目选择.
- 在基于因子的人口模拟的人工数据上测试了该程序.
- 将基于自动编码器的方法与传统的计算方法进行比较.
主要成果:
- 自动编码器需要对数据特征进行最小的假设.
- 拟议的程序自动选择有效重建原始响应的项目.
- 开发的简体形式保留了长形式测试的内部结构.
- 自动编码器提供了一种方法,可以从简单形式预测长形式的项目响应.
结论:
- 机器学习,特别是自动编码器,为自主简体开发提供了有效和整合性的方法.
- 这种方法解决了传统技术的局限性,因为它对数据的假设较少.
- 基于自动编码器的程序有助于研究人员创建可靠的简单表格,以保持心理测量完整性.
相关概念视频
01:19Encoding
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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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01:22Self-Report Tests of Personality
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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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