中国的强奸神话:一个系统的审查
Eleanor Manhong Li1, Lara Flynn Hudspith2, Neema Trivedi-Bateman1
1Loughborough University, UK.
Trauma, violence & abuse
|February 11, 2026
概括
这篇评论探讨了中国的强奸神话接受 (RMA),发现家的价值观,法律因素和性别规范显著影响了这些态度. 对文化敏感的研究和干预对于解决性暴力接受至关重要.
科学领域:
- 社会心理学 社会心理学
- 犯罪学 犯罪学
- 社会学 社会学 社会学
背景情况:
- 强奸神话 (RMA) 的接受受社会文化,法律和历史因素的影响.
- 由于中国的复杂社会法律格局,了解中国的RMA至关重要.
研究的目的:
- 系统地审查和批判性地检查在中国背景下对RMA的研究.
- 了解塑造中国对性暴力态度的社会文化,法律和历史因素.
主要方法:
- 从五个数据库中对同行评审的定量研究 (2000-2024) 进行系统审查.
- 包括涉及中国大陆,香港和台湾华人人口的研究.
- 16项保留研究的数据提取和分析.
主要成果:
- 家的价值观,法律框架和性别规范对中国的RMA产生了重大影响.
- RMA的关键相关性包括对抗性的性信仰,性别角色刻板印象,性别,年龄和教育.
- 现有的RMA测量工具需要对中国环境进行文化适应和验证.
结论:
- 在中国的RMA研究是不发达的,需要文化敏感的方法.
- 解决RMA需要了解其在中国社会法律环境中的独特挑战.
- 提供了建议,以告知政策制定和推进研究.
相关概念视频
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Random and Systematic Errors
15.2K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.2K
Systematic Sampling Method
13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.4K
Propagation of Uncertainty from Systematic Error
1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Systematic Error: Methodological and Sampling Errors
11.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.1K


