This paper presents a dynamic tree-based item response (IRTree) model as a novel extension of the autoregressive generalized linear mixed effect model (dynamic GLMM). We illustrate the unique utility of the dynamic IRTree model in its capability of modeling differentiated processes indicated by intensive polytomous time-series eye-tracking data. The dynamic IRTree was inspired by but is distinct from the dynamic GLMM which was previously presented by Cho, Brown-Schmidt, and Lee (Psychometrika 83(3):751–771, 2018). Unlike the dynamic IRTree, the dynamic GLMM is suitable for modeling intensive binary time-series eye-tracking data to identify visual attention to a single interest area over all other possible fixation locations. The dynamic IRTree model is a general modeling framework which can be used to model change processes (trend and autocorrelation) and which allows for decomposing data into various sources of heterogeneity. The dynamic IRTree model was illustrated using an experimental study that employed the visual-world eye-tracking technique. The results of a simulation study showed that parameter recovery of the model was satisfactory and that ignoring trend and autoregressive effects resulted in biased estimates of experimental condition effects in the same conditions found in the empirical study.
The idea that influential factors for two subtypes of aggression (reactive and proactive aggression) should be different is popular, but the common influential factors have not been examined. Such an examination could help understand the influential factors of aggression from the perspective of multiple motivations affecting the development of aggressive motivations over time. The present study argued that angry rumination would be a common influential factor for both reactive and proactive aggression. In addition, consideration of future consequences (CFC) may moderate the longitudinal effect of angry rumination on proactive aggression. Two studies were conducted to test these hypotheses. In Study 1, a cross-lagged analysis with a 6-month interval was employed. A total of 505 undergraduate students (46% males) completed the questionnaires twice. Results indicated that after a 6-month period, angry rumination predicted reactive aggression but not proactive aggression. Furthermore, reactive aggression predicted angry rumination over time. In Study 2, a moderation analysis was performed with another 437 participants (130 males). The results partly supported our hypotheses, indicating that CFC-immediate (CFC-I) moderated the longitudinal effect of angry rumination on proactive aggression. The present results extended prior research regarding the predictors of proactive and reactive aggression and may contribute to a greater understanding of the development of aggressive motivation. In addition, our research suggested that high CFC-I may be an important factor for the motivation change from reactive aggression to proactive aggression. 相似文献