Literature DB >> 21417539

Cross-sectional age variance extraction: what's change got to do with it?

Ulman Lindenberger1, Timo von Oertzen, Paolo Ghisletta, Christopher Hertzog.   

Abstract

In cross-sectional age variance extraction (CAVE), age, the indicator of a hypothesized developmental mechanism, and a developmental outcome are specified as independent, mediator, and target variables, respectively, to test hypotheses about behavioral development. We show that: (a) longitudinal change in a mediator variable accounting for substantial cross-sectional age-related variance in the target variable need not correlate with the target variable's longitudinal change; and, conversely, (b) longitudinal change in a mediator not sharing cross-sectional age-related variance with the target variable may nevertheless correlate highly with that variable's longitudinal change. We discourage use of CAVE for testing multivariate hypotheses about behavioral development. (c) 2011 APA, all rights reserved.

Mesh:

Year:  2011        PMID: 21417539     DOI: 10.1037/a0020525

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  104 in total

1.  Happy as a lark: morning-type younger and older adults are higher in positive affect.

Authors:  Renée K Biss; Lynn Hasher
Journal:  Emotion       Date:  2012-02-06

2.  The dimensionality of between-person differences in white matter microstructure in old age.

Authors:  Martin Lövdén; Erika Jonsson Laukka; Anna Rieckmann; Grégoria Kalpouzos; Tie-Qiang Li; Tomas Jonsson; Lars-Olof Wahlund; Laura Fratiglioni; Lars Bäckman
Journal:  Hum Brain Mapp       Date:  2012-02-14       Impact factor: 5.038

3.  Dopamine transporter availability in clinically normal aging is associated with individual differences in white matter integrity.

Authors:  Anna Rieckmann; Trey Hedden; Alayna P Younger; Reisa A Sperling; Keith A Johnson; Randy L Buckner
Journal:  Hum Brain Mapp       Date:  2015-11-06       Impact factor: 5.038

4.  Differential aging of cerebral white matter in middle-aged and older adults: A seven-year follow-up.

Authors:  Andrew R Bender; Manuel C Völkle; Naftali Raz
Journal:  Neuroimage       Date:  2015-10-19       Impact factor: 6.556

5.  Genetic predisposition for inflammation exacerbates effects of striatal iron content on cognitive switching ability in healthy aging.

Authors:  Ana M Daugherty; David A Hoagey; Kristen M Kennedy; Karen M Rodrigue
Journal:  Neuroimage       Date:  2018-10-25       Impact factor: 6.556

6.  Prefrontal gray matter volume mediates age effects on memory strategies.

Authors:  B A Kirchhoff; B A Gordon; D Head
Journal:  Neuroimage       Date:  2013-12-31       Impact factor: 6.556

7.  Same old, same old? Age differences in the diversity of daily life.

Authors:  Christine Weber; Martin Quintus; Boris Egloff; Gloria Luong; Michaela Riediger; Cornelia Wrzus
Journal:  Psychol Aging       Date:  2019-10-14

8.  Complementary cognitive capabilities, economic decision making, and aging.

Authors:  Ye Li; Martine Baldassi; Eric J Johnson; Elke U Weber
Journal:  Psychol Aging       Date:  2013-09

9.  Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices.

Authors:  Muzamil Arshad; Jeffrey A Stanley; Naftali Raz
Journal:  Neuroimage       Date:  2016-08-22       Impact factor: 6.556

10.  Age differences in hippocampal subfield volumes from childhood to late adulthood.

Authors:  Ana M Daugherty; Andrew R Bender; Naftali Raz; Noa Ofen
Journal:  Hippocampus       Date:  2015-09-04       Impact factor: 3.899

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.