Integration of discrete and global structures of affect across three large samples: Specific emotions within-persons and global affect between-persons.

Integration of discrete and global structures of affect across three large samples: Specific emotions within-persons and global affect between-persons.
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DOI:
10.1037/emo0001022
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发表时间:
2023-06
期刊:
Emotion (Washington, D.C.)
影响因子:
--
通讯作者:
Newman MG
Newman MG
中科院分区:
其他
文献类型:
--
作者:
Jacobson NC;Evey KJ;Wright AGC;Newman MG

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研究人员一直在争论离散情绪与整体情绪的有效性。当前的文章试图通过明确地检查跨时间的状态情绪和特质影响的结构来整合这些观点。在三个样本中(样本1:N = 176名美国本科生,在50天的每日日记研究中-总观察值= 7,504;样本2:N = 2,104,在德国社区样本内的30天每日日记研究中-总观察值= 28,090;样本3:N = 245,美国精神病门诊的生态瞬时评估研究,每天完成5次测量,持续21天-总观察值= 29,950),参与者完成了积极和消极的影响时间表。样本1中的探索性多水平因素分析允许同时估计状态因素(即,人内因素分析)和特质因素(即,人与人之间的因素分析)。验证性多层次因素模型研究了样本2和样本3的多层次因素解决方案的可推广性。在所有的样本中,结果表明强烈支持特质影响的两因素解决方案和状态情绪的七因素解决方案。总而言之,这些结果表明,积极情感和消极情感可以用来描述人与人之间的差异,但至少有七种不同的情绪在不同的时间内经历。
Researchers have held a long-standing debate regarding the validity of discrete emotions versus global affect. The current article tries to integrate these perspectives by explicitly examining the structures of state emotions and trait affect across time. Across three samples (Sample 1: N = 176 U.S. undergraduates in a 50 day daily diary study—total observations = 7,504; Sample 2: N = 2,104 in a 30 day daily diary study within a community sample in Germany—total observations = 28,090; Sample 3: N = 245, ecological momentary assessment study within the United States from an outpatient psychiatry clinic completing five measurements per day for 21 days—total observations = 29,950), participants completed the Positive and Negative Affect Schedule. An exploratory multilevel factor analysis in Sample 1 allowed for the simultaneous estimation of state factors (i.e., within-person factor analysis) and trait factors (i.e., between-persons factor analysis). Confirmatory multilevel factor models examined the generalizability of the multilevel factor solutions to Samples 2 and 3. Across all samples, the results suggested strong support for a two-factor solution for trait affect and a seven-factor solution for state emotion. Taken together, these results suggest that positive affect and negative affect can be used to describe differences across people, but at least seven differentiated emotions are experienced within persons across time.
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