Abstract. In experiments on multidimensional source memory, a stochastic dependency of source memory for different facets of an episode has been repeatedly demonstrated. This may suggest an integrated representation leading to mutual cuing in context retrieval. However, experiments involving a manipulated reinstatement of one source feature have often failed to affect retrieval of the other feature, suggesting unbound features or rather item-feature binding. The stochastic dependency found in former studies might be a spurious correlation due to aggregation across participants varying in memory strength. We test this artifact explanation by applying a hierarchical multinomial model. Observing stochastic dependency when accounting for interindividual differences would rule out the artifact explanation. A second goal is to elucidate the nature of feature binding: Contrasting encoding conditions with integrated feature judgments versus separate feature judgments are expected to induce different levels of stochastic dependency despite comparable overall source memory if integrated representations include feature-feature binding. The experiment replicated the finding of stochastic dependency and, thus, ruled out an artifact interpretation. However, we did not find different levels of stochastic dependency between conditions. Therefore, the current findings do not reveal decisive evidence to distinguish between the feature-feature binding and the item-context binding account.

中文翻译：

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使用分层多项式建模方法测试有关上下文记忆中绑定的假设。


摘要。在多维源记忆的实验中，源记忆对情节不同方面的随机依赖性已被反复证明。这可能表明在上下文检索中导致相互提示的集成表示。然而，涉及对一个源特征进行操纵恢复的实验通常无法影响另一特征的检索，这表明未绑定的特征或更确切地说是项目特征绑定。以前的研究中发现的随机依赖性可能是由于参与者的记忆强度不同而聚合造成的虚假相关性。我们通过应用分层多项式模型来测试这个工件的解释。在考虑个体间差异时观察随机依赖性将排除人为因素的解释。第二个目标是阐明特征绑定的本质：如果集成表示包括特征-特征绑定，则将具有集成特征判断的编码条件与单独的特征判断进行对比，预计会引起不同程度的随机依赖性，尽管总体源内存可比较。该实验重复了随机依赖性的发现，因此排除了人为解释。然而，我们没有发现条件之间存在不同程度的随机依赖性。因此，目前的研究结果并未揭示区分特征-特征绑定和项目-上下文绑定帐户的决定性证据。