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自我监控潜在结构的当代税ometric分析。 (注:“taxometric”可能是一个特定领域术语,这里保留英文,具体含义可能需结合专业背景进一步理解,常规翻译为“税ometric” )

A contemporary taxometric analysis of the latent structure of self-monitoring.

作者信息

Wilmot Michael P

机构信息

University of Minnesota.

出版信息

Psychol Assess. 2015 Jun;27(2):353-64. doi: 10.1037/pas0000030. Epub 2015 Jan 5.

DOI:10.1037/pas0000030
PMID:25558968
Abstract

One of the most provocative findings in the personality psychology literature is evidence that the latent structure of self-monitoring is categorical. That is, individuals can be classified as either high or low self-monitors (Gangestad & Snyder, 1985). Surprisingly, in the three decades since its original publication, this study has never been replicated. Using the sample from the original study (N = 1,918) and a replication sample (N = 2,951), the latent structure of self-monitoring was retested using contemporary taxometric procedures. Preliminary analyses indicated that the eight-item indicator set used in the original study lacked sufficient indicator validities for unambiguously detecting latent categorical structure. In addition, the Other-Directedness subscale, one of the three factor analytically derived subscale indicators used in the original investigation, was likewise found to be unsuitable, because of a combination of low validity and relative orthogonality vis-à-vis its fellow subscales. The 2 remaining subscales, Acting and Extraversion, had excellent properties as indicators, and were subsequently subjected to multiple taxometric procedures and consistency tests. Results failed to support the original taxonic claim; to the contrary, multiple comparison curves and a grand mean comparison curve fit index (CCFI) of .214 provided strong, convergent evidence that the latent structure of self-monitoring is dimensional rather than categorical. Dimensional findings indicate that the conventional model of self-monitoring may merit reexamination, and that theoretical models, measurement practices, and data analytic procedures that assume taxonicity should be replaced by dimensional conceptualizations and corresponding statistical procedures. Findings underscore the importance of replication in psychological science.

摘要

人格心理学文献中最具争议性的发现之一是,有证据表明自我监控的潜在结构是类别性的。也就是说,个体可以被归类为高自我监控者或低自我监控者(甘斯特德和斯奈德,1985)。令人惊讶的是,自该研究最初发表后的三十年里,从未有过重复研究。使用原始研究的样本(N = 1918)和一个重复样本(N = 2951),采用当代分类分析程序对自我监控的潜在结构进行了重新测试。初步分析表明,原始研究中使用的八项指标集缺乏足够的指标效度,无法明确检测潜在的类别结构。此外,原始调查中通过因素分析得出的三个子量表指标之一的他人导向性子量表,同样被发现不合适,因为其效度较低,且与其同伴子量表相对正交。剩下的两个子量表,即行为和外向性,作为指标具有出色的特性,随后对其进行了多种分类分析程序和一致性测试。结果未能支持原始的分类学主张;相反,多重比较曲线和0.214的总体均值比较曲线拟合指数(CCFI)提供了强有力的、趋同的证据,表明自我监控的潜在结构是维度性的而非类别性的。维度性研究结果表明,传统的自我监控模型可能值得重新审视,并且那些假设分类性的理论模型、测量方法和数据分析程序应该被维度性概念化和相应的统计程序所取代。研究结果强调了重复研究在心理科学中的重要性。

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Sorry, Not Sorry: Effects of Different Types of Apologies and Self-Monitoring on Non-verbal Behaviors.抱歉,但不抱歉:不同类型的道歉和自我监控对非语言行为的影响。
Front Psychol. 2021 Aug 26;12:689615. doi: 10.3389/fpsyg.2021.689615. eCollection 2021.