Literature DB >> 16131617

A structural factor analysis of vocabulary knowledge and relations to age.

Ryan P Bowles1, Kevin J Grimm, John J McArdle.   

Abstract

Vocabulary knowledge may not be a unidimensional construct, and the relations between vocabulary knowledge and age may depend on the aspect of vocabulary knowledge being assessed. In this study, we examined the factor structure of a vocabulary test given to a large nationally representative sample of individuals (N approximately 20,500). Results indicated that the vocabulary test is not unidimensional but bidimensional, with Basic Vocabulary and Advanced Vocabulary factors. An analysis of age differences indicates that basic vocabulary is highest around the age of 30, with a negative relation to age in late adulthood; in contrast, advanced vocabulary is unrelated to age between ages 35 and 70. Cohort effects may explain some of the differential age trend.

Mesh:

Year:  2005        PMID: 16131617     DOI: 10.1093/geronb/60.5.p234

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  15 in total

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3.  Age variations in cohort differences in the United States: Older adults report fewer constraints nowadays than those 18 years ago, but mastery beliefs are diminished among younger adults.

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4.  Vocabulary test format and differential relations to age.

Authors:  Ryan P Bowles; Timothy A Salthouse
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5.  Normative data for the Pyramids and Palm Trees Test in the elderly Italian population.

Authors:  Nadia Gamboz; Emanuele Coluccia; Alessandro Iavarone; Maria A Brandimonte
Journal:  Neurol Sci       Date:  2009-09-19       Impact factor: 3.307

6.  Adults with Poor Reading Skills, Older Adults, and College Students: the Meanings They Understand During Reading Using a Diffusion Model Analysis.

Authors:  Gail McKoon; Roger Ratcliff
Journal:  J Mem Lang       Date:  2018-06-07       Impact factor: 3.059

7.  Modeling Self-Regulation as a Process Using a Multiple Time-Scale Multiphase Latent Basis Growth Model.

Authors:  Jonathan Lee Helm; Nilam Ram; Pamela M Cole; Sy-Miin Chow
Journal:  Struct Equ Modeling       Date:  2016-05-19       Impact factor: 6.125

8.  Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study.

Authors:  Gizem Hülür; Frank J Infurna; Nilam Ram; Denis Gerstorf
Journal:  Psychol Aging       Date:  2012-10-08

9.  Secular trends in cognitive trajectories of diverse older adults.

Authors:  Jet M J Vonk; Miguel Arce Rentería; Justina F Avila; Nicole Schupf; James M Noble; Richard Mayeux; Adam M Brickman; Jennifer J Manly
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Review 10.  Aging, brain disease, and reserve: implications for delirium.

Authors:  Richard N Jones; Tamara G Fong; Eran Metzger; Samir Tulebaev; Frances M Yang; David C Alsop; Edward R Marcantonio; L Adrienne Cupples; Gary Gottlieb; Sharon K Inouye
Journal:  Am J Geriatr Psychiatry       Date:  2010-02       Impact factor: 4.105

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