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Psychometric properties of frontal EEG asymmetry scores.

机译:额叶脑电图不对称分数的心理测量特性。

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摘要

Frontal encephalographic (EEG) alpha asymmetry has been proposed as a measure of the relative difference in average cortical activity between the right and left anterior cortex, where this difference is taken as a physiological marker of trait and state level variables associated with affect. The validity of asymmetry as an indicator of both physiological and psychological variables is in part determined by the psychometric properties of asymmetry scores. The present studies focus on the psychometric assessment of frontal alpha asymmetry measured during rest. The first study involves a novel approach in the assessment of the internal consistency reliability of asymmetry scores. Previous studies estimated internal consistency reliability via Cronbach's alpha, using a relatively small set of asymmetry score that summarized activity over segments of the EEG data (e.g. one minute). Such an approach, however, will create estimates dependent on the number of segments utilized rather than the total amount of data recorded. Thus in the first study, individual FFT epochs were treated as items, thereby maximizing the total number of items used to estimate internal consistency reliability. Results of this study suggest internal consistency reliability is greater than previously reported, and as such, the duration of resting EEG data necessary to achieve a reasonable reliability criterion may be shorter than the current standard. In the second study, asymmetry scores were assessed as a specific case of difference scores, which are susceptible to a statistical artifact associated with differences in true-score variance for the component measures. Predicted asymmetry scores associated with the statistical artifact were obtained by estimating the true-score variance of right and left alpha power. The use of hierarchical linear regression showed some influence of the statistical artifact on the relationship between asymmetry scores and a measure of depressive severity, suggesting that some caution may be warranted in interpreting asymmetry results with relatively small effect sizes.
机译:额叶脑电图(EEG)α不对称性已被提出来衡量左右前皮层之间平均皮层活动的相对差异,该差异被视为与情感相关的性状和状态水平变量的生理指标。不对称性作为生理和心理变量的指标的有效性部分取决于不对称性得分的心理性状。目前的研究集中在休息时测得的额叶不对称性的心理测量评估。第一项研究涉及一种新方法,用于评估不对称分数的内部一致性可靠性。先前的研究使用相对较小的一组不对称得分来评估CEG的内部一致性可靠性,该得分对脑电数据段(例如一分钟)的活动进行了总结。但是,这种方法将根据使用的段数而不是记录的数据总量来创建估计。因此,在第一个研究中,将各个FFT历元视为项,从而最大化了用于估计内部一致性可靠性的项总数。这项研究的结果表明内部一致性信度比以前报道的要大,因此,达到合理信度标准所必需的静息EEG数据的持续时间可能比当前标准短。在第二项研究中,将不对称分数评估为差异分数的特定情况,这种差异容易受到与统计量的真实性差异相关的统计假象的影响。通过估计左右alpha功效的真实得分方差,可以获得与统计伪像相关的预测不对称分数。分层线性回归的使用显示了统计假象对不对称得分与抑郁严重程度之间关系的某些影响,这表明在解释相对不对称结果且相对较小效应量时应谨慎行事。

著录项

  • 作者

    Towers, David N.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Psychology Psychometrics.; Psychology Physiological.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 93 p.
  • 总页数 93
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 心理学研究方法;生理心理学;
  • 关键词

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