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Factors of home dream recall: a structural equation model

心理学 睡眠惰性 结构方程建模 人格 开放的体验 差异(会计) 期望理论 发展心理学 解释的变化 创造力 特质 五大性格特征 召回 社会心理学 认知 认知心理学 统计 睡眠障碍 神经科学 睡眠债 计算机科学 业务 程序设计语言 数学 会计
作者
Michael Schredl,Lutz Wittmann,Petra Ciric,Simon GÖtz
出处
期刊:Journal of Sleep Research [Wiley]
卷期号:12 (2): 133-141 被引量:139
标识
DOI:10.1046/j.1365-2869.2003.00344.x
摘要

Previous research has indicated that personality factors such as openness to experience, creativity, visual memory, attitude toward dreams, and sleep behavior is related to home dream recall frequency (DRF). However, a study investigating all areas simultaneously within one sample in order to determine the percentage of variance explained by all variables and to take intercorrelations between the influencing factors into account has not been performed till now. The present study with 444 participants fills this gap. Using several indicators for each of the variables mentioned above, a structural equation model was tested. Although the model fit was satisfying, the four factors which were significantly related to DRF: personality (openness to experience, thin boundaries, absorption), creativity, nocturnal awakenings, and attitude toward dreams, explained only 8.4% of the total variance. As this value is considerably lower than those of studies investigating a single influencing factor and using similar measurement instruments in similar samples, one might speculate about possible expectancy effects in these previous studies, an effect which has been demonstrated for DRF in the laboratory setting. In addition, the small percentage of explained variance of each single factors (<3%) may indicate that other, in this study unmeasured, variables such as sleep duration (state aspect), introspection, and cognitive functioning immediately upon awakening (sleep inertia) show substantial covariance with the interindividual differences in DRF. Future studies should focus on longitudinal aspects in order to differentiate between state versus trait factors (although methodologic issues, e.g. the effect of the measurement technique on DRF itself, have to be clarified) and investigate additional variables which might be associated with DRF (see above).

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