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Personality and Healthy Aging in AdulthoodCoordinated Data Analysis: A New Method for the Study of Personality and Health

Personality and Healthy Aging in Adulthood: Coordinated Data Analysis: A New Method for the Study... [A majority of research by personality psychologists examining health has utilized publicly available datasets, for good reason. These resources are often the only available datasets large enough to detect expected effect sizes and may contain biological or genetic data that is difficult to obtain. However, researchers tend to examine only one large dataset at a time. Given recent meta-research on the robustness and replicability of “established” findings, all researchers should take greater care to evaluate the evidentiary value of their findings and seek methods to increase their robustness. Personality and aging psychologists who use publicly available datasets have a unique tool at their disposal in order to achieve this goal, namely, more publicly available datasets. More specifically, psychologists may use coordinated analysis (Hofer and Piccinin, Psychol Methods 14:150–164, 2009; Piccinin and Hofer, Integrative analysis of longitudinal studies on aging: Collaborative research networks, meta-analysis, and optimizing future studies. In: Hofer S, Alwin D (eds) Handbook on cognitive aging: interdisciplinary perspectives. SAGE, Thousand Oaks, pp 446–476, 2008) to examine relationships across several large datasets and, using the tools of meta-analysis, identify generalizable effect sizes and examine heterogeneity across countries and methods. This chapter describes the motivation for coordinated analysis, the process of using this method, and details several examples.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Personality and Healthy Aging in AdulthoodCoordinated Data Analysis: A New Method for the Study of Personality and Health

Part of the International Perspectives on Aging Book Series (volume 26)
Editors: Hill, Patrick L.; Allemand, Mathias
Weston, Sara J.; Graham, Eileen K.; Piccinin, Andrea M.
Personality and Healthy Aging in Adulthood — Feb 29, 2020
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References (1)

  • OE Atherton (2014)

    56

    Journal of Research in Personality, 50

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-32052-2
Pages
75 –92
DOI
10.1007/978-3-030-32053-9_6
Publisher site
See Chapter on Publisher Site

Abstract

[A majority of research by personality psychologists examining health has utilized publicly available datasets, for good reason. These resources are often the only available datasets large enough to detect expected effect sizes and may contain biological or genetic data that is difficult to obtain. However, researchers tend to examine only one large dataset at a time. Given recent meta-research on the robustness and replicability of “established” findings, all researchers should take greater care to evaluate the evidentiary value of their findings and seek methods to increase their robustness. Personality and aging psychologists who use publicly available datasets have a unique tool at their disposal in order to achieve this goal, namely, more publicly available datasets. More specifically, psychologists may use coordinated analysis (Hofer and Piccinin, Psychol Methods 14:150–164, 2009; Piccinin and Hofer, Integrative analysis of longitudinal studies on aging: Collaborative research networks, meta-analysis, and optimizing future studies. In: Hofer S, Alwin D (eds) Handbook on cognitive aging: interdisciplinary perspectives. SAGE, Thousand Oaks, pp 446–476, 2008) to examine relationships across several large datasets and, using the tools of meta-analysis, identify generalizable effect sizes and examine heterogeneity across countries and methods. This chapter describes the motivation for coordinated analysis, the process of using this method, and details several examples.]

Published: Feb 29, 2020

Keywords: Coordinated analysis; Secondary data analysis; Personality; Health

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