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ERIC Number: EJ785471
Record Type: Journal
Publication Date: 2007-Dec
Pages: 22
Abstractor: Author
Reference Count: 0
ISSN: ISSN-0033-3123
Signal Detection Models with Random Participant and Item Effects
Rouder, Jeffrey N.; Lu, Jun; Sun, Dongchu; Speckman, Paul; Morey, Richard; Naveh-Benjamin, Moshe
Psychometrika, v72 n4 p621-642 Dec 2007
The theory of signal detection is convenient for measuring mnemonic ability in recognition memory paradigms. In these paradigms, randomly selected participants are asked to study randomly selected items. In practice, researchers aggregate data across items or participants or both. The signal detection model is nonlinear; consequently, analysis with aggregated data is not consistent. In fact, mnemonic ability is underestimated, even in the large-sample limit. We present two hierarchical Bayesian models that simultaneously account for participant and item variability. We show how these models provide for accurate estimation of participants' mnemonic ability as well as the memorability of items. The model is benchmarked with a simulation study and applied to a novel data set.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A