Is more always better? An examination of the nonlinear effects of perceived organizational support on individual outcomes

A wide range of research has accumulated detailing the positive associations of perceived organizational support (POS) with desirable workplace outcomes (e.g., high performance, high commitment, low deviance). In the process, there has been an implicit assumption that these relationships are linear, with ever-increasing POS resulting in ever-increasing positive outcomes. However, there are theoretical and practical reasons to question whether these relationships may be nonlinear rather than linear. Our results offer support for the notion that the relationships between POS and key individual outcomes rated by the supervisor may best be represented as nonlinear. We conclude by highlighting the implications for both theory and practice.     

Effects of stimulus presentation order during auditory–visual conditional discrimination training for children with autism spectrum disorder

Children with autism spectrum disorder are typically taught conditional discriminations using a match‐to‐sample arrangement. Consideration should be given to the temporal order in which antecedent stimuli (the sample and comparison stimuli) are presented during match‐to‐sample trials, as various arrangements have been used in the extant literature. The purpose of the current study was to compare the effects of four stimulus presentation orders on the acquisition of auditory–visual conditional discriminations. The study included participants from a clinically relevant population (three children with autism spectrum disorder), employed clinically relevant teaching procedures, and included two presentation formats not included in previous comparison evaluations (simultaneous and sample‐first with re‐presentation conditions). Results were found to be learner‐specific; that is, a different stimulus presentation format was most efficient for each participant. We provide suggestions to evaluate stimulus control topographies and enhance experimental control in match‐to‐sample arrangements.     

解释性项目反应理论模型：理论与应用

解释性项目反应理论模型(Explanatory Item Response Theory Models, EIRTM)是指基于广义线性混合模型和非线性混合模型构建的项目反应理论(Item Response Theory, IRT)模型。EIRTM能在IRT模型的基础上直接加入预测变量, 从而解决各类测量问题。首先介绍EIRTM的相关概念和参数估计方法, 然后展示如何使用EIRTM处理题目位置效应、测验模式效应、题目功能差异、局部被试依赖和局部题目依赖, 接着提供实例对EIRTM的使用进行说明, 最后对EIRTM的不足之处和应用前景进行讨论。