Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval

Kuiper Rebecca M.; Ryan Oisin

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Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval

机译：从交叉滞后的关系中得出结论：重新考虑时间间隔的作用

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The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used to gather evidence for (reciprocal) Granger-causal relationships when lacking an experimental design. However, it is well known that CLPMs can lead to different parameter estimates depending on the time-interval of observation. Consequently, this can lead to researchers drawing conflicting conclusions regarding the sign and/or dominance of relationships. Multiple authors have suggested the use of continuous-time models to address this issue.

机译：当缺乏实验设计时，交叉滞后面板模型（CLPM）是离散时间（DT）SEM模型，通常用于收集格兰杰因果关系（互为因果）的证据。但是，众所周知，根据观察的时间间隔，CLPM可能导致不同的参数估计。因此，这可能导致研究人员得出关于关系的符号和/或优势的矛盾结论。多位作者建议使用连续时间模型来解决此问题。

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《Structural equation modeling》 |2018年第6期|809-823|共15页
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Kuiper Rebecca M.; Ryan Oisin;
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Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval

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