Literature DB >> 8167978

The Vividness of Visual Imagery Questionnaire as a predictor of facial recognition memory performance.

S J McKelvie1.   

Abstract

After viewing 27 upright photographs of faces, 94 subjects took a forced-choice recognition memory test in which the pairs were shown either upright (N = 54) or inverted (N = 40), then completed Marks' (1973) Vividness of Visual Imagery Questionnaire (VVIQ). Although groups of 12 good and 12 poor visualizers representing the lower and upper 30 per cent of VVIQ scores were less accurate, slower to respond and less confident for inverted than upright faces, VVIQ status did not interact with the effect of inversion. However, good visualizers were more confident than poor visualizers, and VVIQ scores themselves were lower (indicating more vivid reports) in the upright than in the inverted condition. It was also found that VVIQ scores were lower for more than for less confident subjects, but only for those who were less accurate. These results contradict the hypothesis that the VVIQ reflects holistic processing, but support the hypothesis that it is contaminated by an instrument factor. It is suggested that studies with the VVIQ should be designed to avoid cueing effects of the criterion task, and that the VVIQ should be accompanied by a test of general processing capacity to identify subjects whose responses might be contaminated by confidence.

Mesh:

Year:  1994        PMID: 8167978     DOI: 10.1111/j.2044-8295.1994.tb02510.x

Source DB:  PubMed          Journal:  Br J Psychol        ISSN: 0007-1269


  6 in total

1.  Vividness of mental imagery: individual variability can be measured objectively.

Authors:  Xu Cui; Cameron B Jeter; Dongni Yang; P Read Montague; David M Eagleman
Journal:  Vision Res       Date:  2007-01-19       Impact factor: 1.886

2.  The influence of individual motor imagery ability on cerebral recruitment during gait imagery.

Authors:  Marian van der Meulen; Gilles Allali; Sebastian W Rieger; Frédéric Assal; Patrik Vuilleumier
Journal:  Hum Brain Mapp       Date:  2012-09-27       Impact factor: 5.038

3.  Exploring the relationship between grapheme colour-picking consistency and mental imagery.

Authors:  Mary Jane Spiller; Lee Harkry; Fintan McCullagh; Volker Thoma; Clare Jonas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-21       Impact factor: 6.237

4.  The Internal Representations Questionnaire: Measuring modes of thinking.

Authors:  Hettie Roebuck; Gary Lupyan
Journal:  Behav Res Methods       Date:  2020-10

5.  Refractive errors affect the vividness of visual mental images.

Authors:  Liana Palermo; Raffaella Nori; Laura Piccardi; Fabrizio Zeri; Antonio Babino; Fiorella Giusberti; Cecilia Guariglia
Journal:  PLoS One       Date:  2013-06-05       Impact factor: 3.240

6.  Meta-analytic comparison of trial- versus questionnaire-based vividness reportability across behavioral, cognitive and neural measurements of imagery.

Authors:  Matthew S Runge; Mike W-L Cheung; Amedeo D'Angiulli
Journal:  Neurosci Conscious       Date:  2017-04-22
  6 in total

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