Literature DB >> 24835509

Cognitive estimation and its assessment.

David A Gansler1, Mark Varvaris, Lance Swenson, David J Schretlen.   

Abstract

PURPOSE: We evaluated the internal consistency and construct and criterion validity of a 10-item revision of the Cognitive Estimation Task (CET-R) developed by Shallice and Evans to assess problem-solving hypothesis generation.
METHOD: The CET-R was administered to 216 healthy adults from the Aging, Brain Imaging, and Cognition study and 57 adult outpatients with schizophrenia.
RESULTS: Exploratory and confirmatory factor analysis (EFA and CFA) of the healthy sample revealed that seven of the 10 CET-R items constitute a more internally consistent scale (CET-R-7). Though EFA indicated that two CET-R-7 dimensions might be present (length and speed/time estimation, respectively), CFA confirmed that a single factor best represents the seven items. The CET-R-7 was modeled best by crystallized intelligence, adequately by fluid intelligence, and inadequately by visuospatial problem solving. Performance on the CET-R-7 correlated significantly with the neuropsychological domains of speed and fluency, but not memory or executive function. Finally, CET-R performance differed by diagnosis, sex, and education, but not age.
CONCLUSIONS: This study identified an internally consistent set of items that measures the construct of cognitive estimation. This construct relates to several important dimensions of psychological functioning, including crystallized and fluid intelligence, generativity, and self-monitoring. It also is sensitive to cognitive dysfunction in adults with schizophrenia.

Entities:  

Keywords:  Cognition; Cognition [F02.463.188]; Cognitive Science [F04.096.628.255]; Cognitive estimation; Cognitive science; Executive Function [F02.463.217]; Executive function; Neuropsychological Tests [F04.711.513]; Neuropsychological tests

Mesh:

Year:  2014        PMID: 24835509     DOI: 10.1080/13803395.2014.915933

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  4 in total

1.  How many segments are there in an orange: normative data for the new Cognitive Estimation Task in an Italian population.

Authors:  Federica Scarpina; Guido E D'Aniello; Alessandro Mauro; Gianluca Castelnuovo; Sarah E MacPherson
Journal:  Neurol Sci       Date:  2015-06-12       Impact factor: 3.307

2.  Assessing Cognitive Estimation and Its Effects on Community Integration in People with Acquired Brain Injury Undergoing Rehabilitation.

Authors:  Dónal G Fortune; Helen L Richards
Journal:  Biomed Res Int       Date:  2017-07-26       Impact factor: 3.411

3.  Cognitive estimation: Performance of patients with focal frontal and posterior lesions.

Authors:  Lisa Cipolotti; Sarah E MacPherson; Sara Gharooni; Natasja van-Harskamp; Tim Shallice; Edgar Chan; Parashkev Nachev
Journal:  Neuropsychologia       Date:  2017-08-13       Impact factor: 3.139

4.  What determines cognitive estimation ability? Changing contributions of semantic and executive domains as a function of age.

Authors:  Paul Hoffman; Sarah E MacPherson
Journal:  J Neuropsychol       Date:  2022-05-21       Impact factor: 2.276

  4 in total

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