Cited by 6

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Three regularities of recognition memory: the role of bias

Hilford, Andrew, Maloney, Laurence T., Glanzer, Murray, Kim, Kisok·2015·Psychonomic Bulletin & Review

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3758/s13423-015-0829-0

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 35

  1. Bäckman, L. (1991). Recognition memory across the adult life span: The role of prior knowledge. Memory & Cognition, 19, 63–71. · DOI
  2. Bäckman, L., & Herlitz, A. (1990). The relationship between prior knowledge and face recognition in normal aging and Alzheimer’s disease. Journal of Gerontology, 45, 94–100. · DOI
  3. Balota, D. A., Burgess, G. C., Cortese, M. J., & Adams, D. R. (2002). The word-frequency mirror effect in young, old and early-stage Alzheimer’s disease: Evidence for two processes in episodic recognition performance. Journal of Memory and Language, 46, 199–226. · DOI
  4. Bartlett, J. C., Halpern, A. R., & Dowling, W. J. (1995). Recognition of familiar and unfamiliar melodies in normal aging and Alzheimer’s disease. Memory & Cognition, 23, 531–546. · DOI
  5. Brown, J., Lewis, V. J., & Monk, A. F. (1977). Memorability, word frequency and negative recognition. Quarterly Journal of Experimental Psychology, 29, 461–473. · DOI
  6. Cary, M., & Reder, L. M. (2003). A dual-process account of the list-length and strength-based mirror effects in recognition. Journal of Memory and Language, 49, 231–248. · DOI
  7. Dorfman, D., & Glanzer, M. (1988). List composition effects in lexical decision and recognition memory. Journal of Memory and Language, 27, 633–648. · DOI
  8. Egan, J. P. (1975). Signal detection theory and ROC analysis. New York: Academic Press.
  9. Estes, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin, 53, 134–140. · DOI
  10. Estes, W. K., & Maddox, W. T. (2005). Risks of drawing inferences about cognitive processes from model fits to individual versus average performance. Psychonomic Bulletin & Review, 12, 403–408. · DOI
  11. Glanzer, M., & Adams, J. K. (1985). The mirror effect in recognition memory. Memory & Cognition, 13, 8–20. · DOI · Paper page
  12. Glanzer, M., & Adams, J. K. (1990). The mirror effect in recognition memory: Data and theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 5–16.
  13. Glanzer, M., Adams, J. K., Iverson, G. J., & Kim, K. (1993). The regularities of recognition memory. Psychological Review, 100, 546–567. · DOI
  14. Glanzer, M., Adams, J. K., & Iverson, G. (1991). Forgetting and the mirror effect in recognition memory: Concentering of underlying distributions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 81–89.
  15. Glanzer, M., Hilford, A., & Maloney, L. T. (2009). Likelihood ratio decisions in memory: Three implied regularities. Psychonomic Bulletin & Review, 16, 431–455. · DOI · Paper page
  16. Glanzer, M., Kim, K., Hilford, A., & Adams, J. K. (1999). Slope of the receiver-operating characteristic in recognition memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 500–513.
  17. Hilford, A., Glanzer, M., & Kim, K. (1997). Encoding, repetition, and the mirror effect in recognition memory: Symmetry in motion. Memory & Cognition, 25, 593–605. · DOI
  18. Hoshino, Y. (1991). A bias in favor of the positive response to high-frequency words in recognition memory. Memory & Cognition, 19, 607–616. · DOI
  19. Kim, K., & Glanzer, M. (1995). Intralist interference in recognition memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1096–1107.
  20. Laming, D. (1973). Mathematical psychology. New York: Academic Press.
  21. Malmberg, K. J., & Murnane, K. (2002). List composition and the word-frequency effect fir recognition memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 610–630.
  22. Marr, D. (1982). Vision: A computational investigation into the human representation and processing of visual information. San Francisco: W. H. Freeman and Company.
  23. McClelland, J. L., & Chappell, M. (1998). Familiarity breeds differentiation: A subjective-likelihood approach to the effects of experience in recognition memory. Psychological Review, 4, 724–760. · DOI
  24. Mickes, L., Wixted, J. T., & Wais, P. E. (2007). A direct test of the unequal-variance signal detection model of recognition memory. Psychonomic Bulletin & Review, 14, 858–865. · DOI
  25. Pratte, M. S., Rouder, J. N., & Morey, R. D. (2010). Separating mnemonic process from participant and item effects in the assessment of ROC asymmetries. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 224–232.
  26. Ratcliff, R., McKoon, G., & Tindall, M. (1994). Empirical generality of data from recognition receiver-operating characteristic functions and implications for the global memory models. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 763–785.
  27. Ratcliff, R., Sheu, C.-F., & Gronlund, S. D. (1992). Testing global models using ROC curves. Psychological Review, 99, 518–535. · DOI
  28. Rouder, J. N., Pratte, M. S., & Morey, R. D. (2010). Latent mnemonic strengths are latent: A comment on Mickes, Wixted, and Wais (2007). Psychonomic Bulletin and Review, 17, 427–435. · DOI
  29. Schulman, A. I. (1976). Memory for rare words previously rated for familiarity. Journal of Experimental Psychology: Human Learning and Memory, 2, 301–307.
  30. Shiffrin, R. M., Huber, D., & Marinelli, K. (1995). Effects of category length and strength on familiarity in recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 267–287.
  31. Shiffrin, R. M., & Steyvers, M. (1997). A model for recognition memory: REM—Retrieving effectively from memory. Psychonomic Bulletin and Review, 4, 145–166. · DOI
  32. Stretch, V., & Wixted, J. T. (1998). Decision rules for recognition memory confidence judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 1397–1410.
  33. Wickens, T. D. (2002). Elementary signal detection theory. New York: Oxford University.
  34. Wixted, J. T., & Mickes, L. (2010). Useful scientific theories are useful: A reply to Rouder, Pratte, and Morey (2010). Psychonomic Bulletin and Review, 17, 436–442. · DOI
  35. Wright, C. E. (1979). Duration differences between rare and common words and their implications for the interpretation of word frequency effects. Memory & Cognition, 7, 411–419. · DOI

Cited by

Sorted by citations

See all 6

Metadata

Authors
Hilford, A., Maloney, L. T., Glanzer, M., & Kim, K.
Venue
Psychonomic Bulletin & Review
Published
2015-05-02
Volume
22
Issue
6
Pages
1646-1664
ISSN
  • 1069-9384
  • 1531-5320
Cited by
6
References
1
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review