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相关概念视频

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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The Scientific Method02:40

The Scientific Method

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Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
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Self-Report Tests of Personality01:22

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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Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Reliability and Validity01:29

Reliability and Validity

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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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Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

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A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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开发和验证易受伪科学影响的规模.

Emma Kate Thome1, Patrick Finn1

  • 1Department of Communication Sciences and Special Education, University of Georgia, Athens.

American journal of speech-language pathology
|December 9, 2025
PubMed
概括
此摘要是机器生成的。

伪科学敏感度 (STOP) 尺度有助于识别临床医生.

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科学领域:

  • 心理学 心理学 心理学
  • 帮助职业的人.
  • 教育教育教育教育教育教育.

背景情况:

  • 帮助专业的伪科学对临床医生和客户都构成风险.
  • 虽然一些临床医生认识到伪科学警告标志,但对识别困难的研究有限.

研究的目的:

  • 开发和验证对伪科学 (STOP) 敏感度的尺度.
  • 探索参与者在STOP尺度上的表现.

主要方法:

  • 开发了10项的STOP尺度和假设的临床场景.
  • 评估专家对内容的有效性;使用7个相关尺度对82名本科生进行收和分歧的有效性.
  • 通过5名本科生大声思考协议探索构造有效性,并检查本科生和6名演讲语言病理学家 (SLP) 的表现.

主要成果:

  • 专家们验证了除了一项外的所有STOP尺度项目.
  • STOP等级得分与批判性思维和对经验的开放度量有显著的相关性,与伪科学认可和超自然信仰相反.
  • 大声思考数据支持双流程理论;本科生和SLP展示了对伪科学警告标志的不同识别.

结论:

  • 停止尺度是评估学生和临床医生的伪科学检测能力的宝贵工具.
  • 研究结果表明,需要有针对性的教育干预措施来提高伪科学识别技能.