Literature DB >> 20551370

Latent mnemonic strengths are latent: a comment on Mickes, Wixted, and Wais (2007).

Jeffrey N Rouder1, Michael S Pratte, Richard D Morey.   

Abstract

Mickes, Wixted, and Wais (2007) proposed a simple test of latent strength variability in recognition memory. They asked participants to rate their confidence using either a 20-point or a 99-point strength scale and plotted distributions of the resulting ratings. They found 25% more variability in ratings for studied than for new items, which they interpreted as providing evidence that latent mnemonic strength distributions are 25% more variable for studied than for new items. We show here that this conclusion is critically dependent on assumptions--so much so that these assumptions determine the conclusions. In fact, opposite conclusions, such that study does not affect the variability of latent strength, may be reached by making different but equally plausible assumptions. Because all measurements of mnemonic strength variability are critically dependent on untestable assumptions, all are arbitrary. Hence, there is no principled method for assessing the relative variability of latent mnemonic strength distributions.

Entities:  

Mesh:

Year:  2010        PMID: 20551370     DOI: 10.3758/PBR.17.3.427

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  8 in total

1.  Signal detection theory with finite mixture distributions: theoretical developments with applications to recognition memory.

Authors:  Lawrence T DeCarlo
Journal:  Psychol Rev       Date:  2002-10       Impact factor: 8.934

2.  On the psychophysical law.

Authors:  S S STEVENS
Journal:  Psychol Rev       Date:  1957-05       Impact factor: 8.934

3.  Testing global memory models using ROC curves.

Authors:  R Ratcliff; C F Sheu; S D Gronlund
Journal:  Psychol Rev       Date:  1992-07       Impact factor: 8.934

4.  Dual-process theory and signal-detection theory of recognition memory.

Authors:  John T Wixted
Journal:  Psychol Rev       Date:  2007-01       Impact factor: 8.934

5.  A direct test of the unequal-variance signal detection model of recognition memory.

Authors:  Laura Mickes; John T Wixted; Peter E Wais
Journal:  Psychon Bull Rev       Date:  2007-10

Review 6.  Receiver operating characteristics (ROCs) in recognition memory: a review.

Authors:  Andrew P Yonelinas; Colleen M Parks
Journal:  Psychol Bull       Date:  2007-09       Impact factor: 17.737

7.  Receiver-operating characteristics in recognition memory: evidence for a dual-process model.

Authors:  A P Yonelinas
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-11       Impact factor: 3.051

8.  An introduction to Bayesian hierarchical models with an application in the theory of signal detection.

Authors:  Jeffrey N Rouder; Jun Lu
Journal:  Psychon Bull Rev       Date:  2005-08
  8 in total
  10 in total

1.  Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model.

Authors:  Jeffrey J Starns; Roger Ratcliff; Gail McKoon
Journal:  Cogn Psychol       Date:  2011-11-11       Impact factor: 3.468

2.  Validating the unequal-variance assumption in recognition memory using response time distributions instead of ROC functions: A diffusion model analysis.

Authors:  Jeffrey J Starns; Roger Ratcliff
Journal:  J Mem Lang       Date:  2014-01       Impact factor: 3.059

Review 3.  Three regularities of recognition memory: the role of bias.

Authors:  Andrew Hilford; Laurence T Maloney; Murray Glanzer; Kisok Kim
Journal:  Psychon Bull Rev       Date:  2015-12

4.  Ensemble coding of memory strength in recognition tests.

Authors:  Chad Dubé; Ke Tong; Holly Westfall; Emily Bauer
Journal:  Mem Cognit       Date:  2019-07

5.  Recognition memory models and binary-response ROCs: a comparison by minimum description length.

Authors:  David Kellen; Karl Christoph Klauer; Arndt Bröder
Journal:  Psychon Bull Rev       Date:  2013-08

6.  The role of sparsely distributed representations in familiarity recognition of verbal and olfactory materials.

Authors:  Sverker Sikström; Johan Hellman; Mats Dahl; Georg Stenberg; Marcus Johansson
Journal:  Cogn Process       Date:  2018-04-20

7.  Variation in the standard deviation of the lure rating distribution: Implications for estimates of recollection probability.

Authors:  Stephen Dopkins; Kaitlin Varner; Darin Hoyer
Journal:  Psychon Bull Rev       Date:  2017-10

8.  Unequal-strength source zROC slopes reflect criteria placement and not (necessarily) memory processes.

Authors:  Jeffrey J Starns; Angela M Pazzaglia; Caren M Rotello; Michael J Hautus; Neil A Macmillan
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-04-08       Impact factor: 3.051

9.  The unequal variance signal-detection model of recognition memory: Investigating the encoding variability hypothesis.

Authors:  Rory W Spanton; Christopher J Berry
Journal:  Q J Exp Psychol (Hove)       Date:  2020-02-27       Impact factor: 2.143

10.  On the assumptions behind metacognitive measurements: Implications for theory and practice.

Authors:  Kiyofumi Miyoshi; Yosuke Sakamoto; Shin'ya Nishida
Journal:  J Vis       Date:  2022-09-02       Impact factor: 2.004

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.