Modeling Latency Processes in Source Monitoring

09:00 - 10:30

Part I: Source Memory - Fundamental Questions

Room: HSZ - N5

Chair/s:

Désirée Schönung, Nikoletta Symeonidou

Source memory research aims at understanding how people remember the origin of information (e.g., Where did I read the latest news?). This double symposium brings together findings from both basic (Part 1) and more applied (Part 2) source memory research. The first session highlights new developments in modeling approaches as well as empirical work addressing fundamental determinants of source memory.
Beatrice G. Kuhlmann opens the session with “A Storage-Retrieval Extension of the Two-High-Threshold Multinomial Model of Source Monitoring.”, introducing an extended version of the often-used two-high-threshold multinomial model of source monitoring (2HTSM, Bayen et al., 1996). This extended version distinguishes between storage and retrieval components of source memory by incorporating two separate source-memory parameters.
Meike Kroneisen follows with “The Rare and the Common: Can Rarity Influence the Animacy Effect in Source Memory?”, investigating whether the animacy advantage in source memory depends on the relative frequency of animate and inanimate stimuli. Her talk provides insights into how base-rate expectations and attention shape encoding and retrieval.
In “Source Memory and Metamemory for Concrete and Abstract Words,” Désirée Schönung examines how people monitor their memory for different word types. The talk focuses on whether individuals distinguish between item and source memory in their metamemory judgments by recognizing that concreteness affects item but not source memory.
Further advancing model-related aspects, Hilal Tanyas presents in her talk “Modeling Latency Processes in Source Monitoring” a formal modeling approach that integrates response times to the 2HTSM. This allows estimating the relative speed of memory- and guessing-based processes.
Finally, Lena Nadarevic bridges to more applied questions of source memory in her talk “Source Effects in Memory for Truth and Falsity: A Comparison of Self-Generated Judgments and External Feedback”. Across two experiments, she investigates whether participants remember self-generated subjective truth judgments better than externally provided objective feedback, consistent with the generation effect.
Together, these talks illustrate the range of current approaches to studying source memory, advancing theoretical and methodological understanding of source memory processes. The first session concludes with a general discussion, leading over to Part II: Source Memory - Applied Research.

Submission 484

Modeling Latency Processes in Source Monitoring

SymposiumTalk-04

Presented by: Hilal Tanyas

Hilal Tanyas ^{1, 2}, Beatrice G. Kuhlmann ², Edgar Erdfelder ²

¹ Bahçeşehir University, Türkiye

² University of Mannheim, Germany

Source monitoring refers to attributing previous experiences (items) to their episodic context (source) (Johnson et al., 1993). Using the frequencies of correct and incorrect attributions in a source-monitoring test, the two-high-threshold multinomial processing tree (MPT) model of source monitoring (2HTSM; Bayen et al., 1996) provides separate probability estimates for memory (of item and source) and various guessing processes. Heck and Erdfelder (2016) further integrated response times (RTs) into MPT models and proposed a formal MPT-RT approach to estimate the relative speed of latent processes. The current study extends their modeling rationale to source monitoring and introduces the 2HTSM-RT model. To test whether the 2HTSM-RT fits empirical source-monitoring data, we designed a simple experiment with words as items and screen positions as sources. We collected accuracy and RTs of item and source test responses from 35 participants. Following the categorization of continuous RT data into discrete bins ranging from fast to slow responses for each participant based on their overall speed of responding, we computed the frequencies for all possible combinations of discrete attribution responses and RT bins. Initial model-related analyses indicated that the 2HTSM-RT jointly accounts for RT and accuracy data of a typical source-monitoring experiment. The RT-extended 2HTSM model provides more holistic information about the memory and guessing processes involved in source monitoring by estimating both the accuracy of the process outcomes (reflected in the standard 2HTSM model parameters) and the relative speed of these processes (reflected in the newly proposed latency parameters).

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