细微的HEXACO:对HEXACO跨级别协议,遗传性和等级稳定性的元分析
Sam Henry1, Will Baker1, Denis Bratko2
1The University of Edinburgh, UK.
Personality & social psychology bulletin
|June 3, 2024
概括
个性评估中的单个项目,如HEXACO模型,捕捉独特的,可遗传的和稳定的个性细微差别. 这些细微的特征表现出与更广泛的人格因素相比较的特性.
科学领域:
- 心理学 心理学 心理学
- 行为遗传学 行为遗传学
- 人格科学 人格科学 人格科学
背景情况:
- 五因素模型 (FFM) 表明,个别问卷项目具有独特的,可遗传的,稳定的差异.
- 这种独特的差异预测了超越更广泛的人格因素的生活结果.
- 将这些原则扩展到HEXACO模型对于全面了解人格结构至关重要.
研究的目的:
- 在HEXACO模型中对单项交叉评价协议,遗传性和2年稳定性进行元分析.
- 在项目层面调查独特差异的属性.
- 将这些属性与更高层次人格特征的属性进行比较.
主要方法:
- 六个国家的单项数据的元分析.
- 分析原材料分数和剩余差异.
- 为测量不可靠性调整估计值.
主要成果:
- 对于原材料的中位数估计:交叉比率协议 (.30),遗传性 (.30),稳定性 (.57).
- 项目残留量的中位数估计:交叉比率协议 (.10),遗传性 (.16),稳定性 (.39).
- 经可靠性调整的中位数:交叉比率一致性 (.46),遗传性 (.46),稳定性 (.87).
结论:
- 单一的HEXACO模型项目捕捉出独特的个性细微差别,具有显著的遗传性和稳定性.
- 这些细微的特征表现出与更高层次的人格因素相比较的特性.
- 结果与FFM研究一致,支持项目级人格差异的重要性.
相关概念视频
01:20Spearman's Rank Correlation Test
762
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
Spearman's test calculates...
762
01:06Heritability
196
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
196
01:20Kendall's Coefficient of Concordance
321
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
321
01:21Friedman Two-way Analysis of Variance by Ranks
185
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
185
01:21Wilcoxon Rank-Sum Test
176
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
176
01:02Ranks
236
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
236