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Andreas M. Brandmaier
Max Planck Society
37Publications
12H-index
456Citations
Publications 37
Newest
Published on May 1, 2019in NeuroImage 5.43
Julian D. Karch (Leiden University), Elisa Filevich8
Estimated H-index: 8
(Humboldt University of Berlin)
+ 7 AuthorsSimone Kühn40
Estimated H-index: 40
(Max Planck Society)
Abstract Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-person variance. To this end, we applied both classical statistical methods and machine-learning-inspired approaches to structural magnetic resonance imaging (sMRI) data of six participants aged 24–31 years gathered at 40–50 occasions distribute...
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Published on Mar 1, 2019
Ross Jacobucci5
Estimated H-index: 5
(University of Notre Dame),
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Rogier A. Kievit19
Estimated H-index: 19
(Cognition and Brain Sciences Unit)
Methodological innovations have allowed researchers to consider increasingly sophisticated statistical models that are better in line with the complexities of real-world behavioral data. However, despite these powerful new analytic approaches, sample sizes may not always be sufficiently large to deal with the increase in model complexity. This difficult modeling scenario entails large models with a limited number of observations given the number of parameters. Here, we describe a particular stra...
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Published on Mar 1, 2019in Psychological Bulletin 13.25
Elliot M. Tucker-Drob27
Estimated H-index: 27
(University of Texas at Austin),
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Ulman Lindenberger77
Estimated H-index: 77
(Max Planck Society)
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Published on Jul 2, 2018in eLife 7.62
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Elisabeth Wenger11
Estimated H-index: 11
(Max Planck Society)
+ 3 AuthorsUlman Lindenberger77
Estimated H-index: 77
(Max Planck Society)
1 Citations Source Cite
Published on Apr 17, 2018in Frontiers in Psychology 2.09
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Timo von Oertzen19
Estimated H-index: 19
(Max Planck Society)
+ 2 AuthorsChristopher Hertzog57
Estimated H-index: 57
(Max Planck Society)
Latent Growth Curve Models (LGCM) have become a standard technique to model change over time. Prediction and explanation of inter-individual differences in change are major goals in lifespan research. The major determinants of statistical power to detect individual differences in change are the magnitude of true inter-individual differences in linear change (LGCM slope variance), design precision, alpha level, and sample size. Here, we show that design precision can be expressed as the inverse o...
3 Citations Source Cite
Published on Jan 1, 2018
Cailey E. Fitzgerald , Ryne Estabrook11
Estimated H-index: 11
+ 2 AuthorsTimo von Oertzen19
Estimated H-index: 19
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Published on Jan 1, 2018
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Manuel C. Voelkle12
Estimated H-index: 12
(Max Planck Society),
Julian David Karch2
Estimated H-index: 2
(Max Planck Society)
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Published on Jan 1, 2018
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Charles C. Driver2
Estimated H-index: 2
(Max Planck Society),
Manuel C. Voelkle12
Estimated H-index: 12
(Humboldt University of Berlin)
Building models fully informed by theory is challenging when data sets are large and strong assumptions about all variables of interest and their interrelations cannot be made. Machine learning-inspired approaches have been gaining momentum in modeling such “big” data because they offer a systematic approach to searching for potential interrelationships among variables. In practice, researchers may often start with a small model strongly guided by theory. In a second step, however, they quickly ...
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Published on Jan 1, 2018
Ross Jacobucci5
Estimated H-index: 5
,
Andreas M. Brandmaier12
Estimated H-index: 12
(Max Planck Society),
Rogier A. Kievit19
Estimated H-index: 19
(Max Planck Society)
2 Citations Source Cite
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