Pages that link to "Item:Q631937"
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The following pages link to Hierarchical single- and dual-process models of recognition memory (Q631937):
Displaying 14 items.
- Default Bayes factors for ANOVA designs (Q96695) (← links)
- Obtaining separate measures for implicit and explicit memory (Q423114) (← links)
- Drawing conclusions from choice response time models: a tutorial using the linear ballistic accumulator (Q534435) (← links)
- How cognitive modeling can benefit from hierarchical Bayesian models (Q631933) (← links)
- Understanding memory impairment with memory models and hierarchical Bayesian analysis (Q631940) (← links)
- A hierarchical state space approach to affective dynamics (Q631947) (← links)
- Evaluating models of recognition memory using first- and second-choice responses (Q634595) (← links)
- The ignored alternative: an application of Luce's low-threshold model to recognition memory (Q730159) (← links)
- The flexibility of models of recognition memory: the case of confidence ratings (Q899141) (← links)
- Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items (Q2348194) (← links)
- Analytic expressions for the BCDMEM model of recognition memory (Q2382639) (← links)
- A novel method for assessing rival models of recognition memory (Q2437273) (← links)
- Signal detection models with random participant and item effects (Q2517898) (← links)
- Problematic effects of aggregation in \(z\)ROC analysis and a hierarchical modeling solution (Q2519504) (← links)
