一个范围审查基于学校的人类测量测量
Oliver W A Wilson1,2, Michella Thai1, Lindsay Williams1
1Werklund School of Education, University of Calgary, Calgary, Alberta, Canada.
概括
学校的人类测量 (AM) 缺乏隐私和明确的报告. 需要最佳实践来确保这些共同健康评估期间的儿童福利.
科学领域:
- 公共卫生 公共卫生
- 儿童健康 儿童健康
- 教育测量教育的测量
背景情况:
- 人类计量测量 (AM) 在学校中很常见,但对儿童福祉构成风险.
- 目前在教育环境中对AM的报告实践往往不充分.
- 需要建立最佳实践,以在学校进行和报告AM.
研究的目的:
- 为了对学校环境中如何进行和报告人体测量进行范围审查.
- 发现 AM 程序和隐私措施报告中的缺陷.
- 制定关于学校辅助医学最佳实践的建议.
主要方法:
- 自2005年以来发表的440项研究的范围审查,涉及在学前教育中通过中学设置的AM.
- 数据提取的重点是AM的行为,报告,隐私和敏感性.
- 对方法细节的分析,包括谁进行了测量和重量状态分类标准.
主要成果:
- 超过90%的研究没有明确的AM隐私和敏感性协议.
- 只有7%的人报告保护学生的隐私,2%的人报告公开测量.
- 在指定谁进行了AM (45.7%) 和重量状态标准引用 (19.2%缺乏引用,2.7%使用不正确的引用) 中发现了显著的差距.
结论:
- 在报告学校如何进行人体测量时存在严重的缺陷.
- 在详细说明方法学方面,隐私和重量状态分类方面需要改进.
- 建议的最佳实践旨在提高基于学校的AM的伦理和方法标准.
相关概念视频
Measures of Intelligence
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
Surveys
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Self-Report Tests of Personality
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.
Range Rule of Thumb to Interpret Standard Deviation
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height of...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height of...
Variation: Normal Distribution, Range, and Standard Deviation
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
Group Design
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...


