一项关于宗教身份的百大引述出版物的图书识别分析和可视化
Vivek Singh1, M Madhavaraman2, Shreya Yadav3
1Department of Psychology, Central University of Haryana, Mahendragarh, India.
Journal of religion and health
|March 2, 2026
概括
宗教认同的研究已经显著增长,由心理学和社会学推动. 关键主题包括宗教,行为和社会态度,并观察到越来越多的国际合作.
科学领域:
- 社会心理学 社会心理学
- 政治心理学 政治心理学
- 社会学 社会学 社会学
背景情况:
- 宗教认同是社会行为,群体间关系和政治心理学中的一个关键领域.
- 了解宗教身份对于理解各种社会和政治背景至关重要.
研究的目的:
- 进行对宗教身份研究的图书统计分析.
- 探索这个领域的知识结构,趋势和知识格局.
- 确定共同的主题,有影响力的学者和合作模式.
主要方法:
- 来自Scopus数据库的关于宗教身份的100个最受引用的同行评审文件 (2000-2024) 的分析.
- 使用文献计量工具 (VOSviewer, Biblioshiny) 来绘制共同作者,关键字共同出现,国家合作和引用模式.
主要成果:
- 过去二十年来,宗教认同研究的显著增长,心理学,社会学和政治学的重大贡献.
- 美国和英国是领先的国家;Verkuyten和Ysseldyk是非常有影响力的学者.
- 常见的主题包括宗教信仰与身份的联系,行为 (犯罪,健康,志愿服务),社会态度和测量工具;国际合作的增加.
结论:
- 宗教认同研究本质上是跨学科的,人们对其社会和政治影响越来越感兴趣.
- 这一综述巩固了现有知识,并通过突出新兴领域和差距,为未来的研究提供了路线图.
- 识别了进一步跨学科联系在理解宗教身份的潜力.
相关概念视频
01:11Statistical Analysis: Overview
16.8K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.8K
01:14Relative Frequency Histogram
6.6K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
6.6K
01:08Outliers and Influential Points
6.5K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
6.5K
01:50Statistical Significance
22.9K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.9K
02:46Chi-square Analysis
44.5K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
44.5K
01:11Observational Studies
11.2K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.2K