Can personality predict longitudinal study attrition? Evidence from a population-based sample of older adults
Can personality predict longitudinal study attrition? Evidence from a population-based sample of older adults
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DOI：
10.1016/j.jrp.2018.10.002
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发表时间：
2018-12-01
影响因子：
3.3
通讯作者：
Thorvaldsson, Valgeir
中科院分区：
文献类型：
--
作者：
Hansson, Isabelle;Berg, Anne Ingeborg;Thorvaldsson, Valgeir
参与损耗是纵向研究中的一个主要问题。系统性的流失可能会导致选择偏差、错误的推论和错误的结论。本研究的目的是调查瑞典基于人群的健康、老龄化和退休转变 (HEARTS) 纵向研究 (N = 5913) 中与人格特质相关的系统性减员。使用逻辑回归，通过五大人格特征（即开放性、尽责性、外向性、宜人性和神经质）来预测纵向研究损耗。结果显示，较高的外向性和神经质以及较低的宜人性与一年和两年随访时的自然减员风险增加独立相关。我们的研究结果表明，在纵向研究分析中考虑系统损耗时，性格可以成为宝贵的信息来源。 (C) 2018 Elsevier Inc. 保留所有权利。
Participation attrition is a major problem in longitudinal studies. Systematic attrition can lead to selection biases, incorrect inferences, and erroneous conclusions. The aim of this study was to investigate systematic attrition related to personality traits in the longitudinal population-based HEalth, Ageing and Retirement Transitions in Sweden (HEARTS) study (N = 5913). Longitudinal study attrition was predicted by the Big Five personality traits, i.e., openness, conscientiousness, extraversion, agreeableness, and neuroticism, using logistic regression. Results revealed that higher extraversion and neuroticism, and lower agreeableness were independently associated with an increased risk for attrition at one and two year follow-up. Our findings suggest that personality can be a valuable source of information when accounting for systematic attrition in analyzes of longitudinal studies. (C) 2018 Elsevier Inc. All rights reserved.