Supplemental Material for A Global Matching Model of Choice and Response Times in the Deese–Roediger–McDermott Semantic and Structural False Recognition Paradigms

0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.97 0.5Q, r = 0.95 0.9Q, r = 0.89 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.89 0.5Q, r = 0.89 0.9Q, r = 0.89 Targets "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.98 0.5Q, r = 0.93 0.9Q, r = 0.88 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.98 0.5Q, r = 0.93 0.9Q, r = 0.85 CL "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.96 0.5Q, r = 0.97 0.9Q, r = 0.95 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.99 0.5Q, r = 0.99 0.9Q, r = 0.91 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 Model 0.9Q, r = 0.95 0.9Q, r = 0.94 0.9Q, r = 0.93 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.99 0.9Q, r = 0.98 0.9Q, r = 0.94 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.96 0.5Q, r = 0.97 0.9Q, r = 0.92 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.92 0.5Q, r = 0.92 0.9Q, r = 0.92 Targets "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.96 0.5Q, r = 0.96 0.9Q, r = 0.89 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.97 0.9Q, r = 0.89 CL "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.96 0.9Q, r = 0.92 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.99 0.5Q, r = 0.99 0.9Q, r = 0.94 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.96 0.9Q, r = 0.94 0.9Q, r = 0.87 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.98 0.9Q, r = 0.98 0.9Q, r = 0.93 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.89 0.5Q, r = 0.92 0.9Q, r = 0.86 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.86 0.5Q, r = 0.86 0.9Q, r = 0.86 Targets "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.94 0.5Q, r = 0.93 0.9Q, r = 0.82 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.95 0.9Q, r = 0.85 CL "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.81 0.5Q, r = 0.95 0.9Q, r = 0.7 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.95 0.5Q, r = 0.96 0.9Q, r = 0.9 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 Model 0.9Q, r = 0.94 0.9Q, r = 0.91 0.9Q, r = 0.83 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.96 0.9Q, r = 0.96 0.9Q, r = 0.88 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.92 0.5Q, r = 0.9 0.9Q, r = 0.84 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.84 0.5Q, r = 0.84 0.9Q, r = 0.84 Targets "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.91 0.5Q, r = 0.93 0.9Q, r = 0.88 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.93 0.5Q, r = 0.95 0.9Q, r = 0.89 CL "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.93 0.5Q, r = 0.85 0.9Q, r = 0.89 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.96 0.9Q, r = 0.89 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.8 0.9Q, r = 0.9 0.9Q, r = 0.93 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.95 0.9Q, r = 0.96 0.9Q, r = 0.85 Unrelated "New"

Publication Details

Journal
Psychological Review
Published
2025-12-01
DOI
https://doi.org/10.1037/rev0000596.supp
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplemental Material for A Global Matching Model of Choice and Response Times in the Deese–Roediger–McDermott Semantic and Structural False Recognition Paradigms

Psychological Review
Psychometric Methodologies and Testing
article

Supplemental Material for A Global Matching Model of Choice and Response Times in the Deese–Roediger–McDermott Semantic and Structural False Recognition Paradigms

article en

Abstract

0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.97 0.5Q, r = 0.95 0.9Q, r = 0.89 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.89 0.5Q, r = 0.89 0.9Q, r = 0.89 Targets "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.98 0.5Q, r = 0.93 0.9Q, r = 0.88 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.98 0.5Q, r = 0.93 0.9Q, r = 0.85 CL "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.96 0.5Q, r = 0.97 0.9Q, r = 0.95 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.99 0.5Q, r = 0.99 0.9Q, r = 0.91 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 Model 0.9Q, r = 0.95 0.9Q, r = 0.94 0.9Q, r = 0.93 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.99 0.9Q, r = 0.98 0.9Q, r = 0.94 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.96 0.5Q, r = 0.97 0.9Q, r = 0.92 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.92 0.5Q, r = 0.92 0.9Q, r = 0.92 Targets "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.96 0.5Q, r = 0.96 0.9Q, r = 0.89 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.97 0.9Q, r = 0.89 CL "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.96 0.9Q, r = 0.92 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.99 0.5Q, r = 0.99 0.9Q, r = 0.94 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.96 0.9Q, r = 0.94 0.9Q, r = 0.87 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.98 0.9Q, r = 0.98 0.9Q, r = 0.93 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.89 0.5Q, r = 0.92 0.9Q, r = 0.86 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.86 0.5Q, r = 0.86 0.9Q, r = 0.86 Targets "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.94 0.5Q, r = 0.93 0.9Q, r = 0.82 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.95 0.9Q, r = 0.85 CL "New" 0 1 2 3 4 0 1 2 3 4 Model 0.1Q, r = 0.81 0.5Q, r = 0.95 0.9Q, r = 0.7 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.95 0.5Q, r = 0.96 0.9Q, r = 0.9 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 Model 0.9Q, r = 0.94 0.9Q, r = 0.91 0.9Q, r = 0.83 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.96 0.9Q, r = 0.96 0.9Q, r = 0.88 Unrelated "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.92 0.5Q, r = 0.9 0.9Q, r = 0.84 Targets "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.84 0.5Q, r = 0.84 0.9Q, r = 0.84 Targets "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.91 0.5Q, r = 0.93 0.9Q, r = 0.88 CL "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.93 0.5Q, r = 0.95 0.9Q, r = 0.89 CL "New" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.93 0.5Q, r = 0.85 0.9Q, r = 0.89 Related "Old" 0 1 2 3 4 0 1 2 3 4 0.1Q, r = 0.97 0.5Q, r = 0.96 0.9Q, r = 0.89 Related "New" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.8 0.9Q, r = 0.9 0.9Q, r = 0.93 Unrelated "Old" 0 1 2 3 4 Data 0 1 2 3 4 0.9Q, r = 0.95 0.9Q, r = 0.96 0.9Q, r = 0.85 Unrelated "New"

Psychological Review
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Psychometric Methodologies and Testing
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