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Rotter's Locus of Control
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Julian Rotter introduced the concept of locus of control, a cognitive factor that significantly influences personality development and learning. Locus of control refers to an individual's beliefs about the extent of control they have over events in their lives. According to Rotter, this belief system can be categorized into two types: internal and external locus of control.
Individuals with an internal locus of control believe that their personal efforts and decisions directly affect their...
Individuals with an internal locus of control believe that their personal efforts and decisions directly affect their...
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Self-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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Time-Domain Interpretation of PD Control
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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
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Frequency-Domain Interpretation of PD Control
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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
The proportional control gain, combined with the...
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Nominal Level of Measurement
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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
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Controls in Experiments
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When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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日本版本的现象学控制量表.
Shu Imaizumi1, Keisuke Suzuki2
1Institute for Education and Human Development, Ochanomizu University, 2-1-1 Otsuka, Bunkyo, Tokyo 112-8610, Japan.
Neuroscience of consciousness
|May 22, 2025
概括
这项研究验证了日本版本的现象学控制量表 (PCS-J),以衡量人们如何将知觉与目标保持一致. PCS-J显示可靠性和有效性,有助于研究个人对感知差异的研究.
科学领域:
- 心理学 心理学 心理学
- 认知科学 认知科学
- 心理测量 心理测量 心理测量
背景情况:
- 在现象学控制方面存在个体差异,即将感知与意图调整的能力.
- 现象控制量表 (PCS) 测量这种特征,但需要日本版本.
研究的目的:
- 开发和验证日本版本的现象控制量表 (PCS-J).
- 在日本的样本中评估PCS-J的可靠性和有效性.
主要方法:
- 使用预先注册的在线调查开发和验证PCS-J.
- 评估了内部一致性,测试重复测试可靠性,收有效性 (阳性精神分裂型) 和区分有效性 (负性精神分裂型).
主要成果:
- PCS-J 证明了足够的内部一致性和测试复试可靠性.
- 收的有效性得到了微弱的正相关性和积极的精神分裂型的支持.
- 歧视性有效性得到了支持,因为没有与负性精神分裂型的相关性.
结论:
- PCS-J是日本样本现象学控制的可靠和有效指标.
- 在日本,PCS-J对于对感知,现象学控制和个体差异的研究具有价值.


