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Timo von Oertzen
Max Planck Society
StatisticsDiscrete mathematicsPsychologyMathematicsComputer science
73Publications
18H-index
1,617Citations
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Publications 66
Newest
#1Florian Schmiedek (MPG: Max Planck Society)H-Index: 32
#2Martin Lövdén (KI: Karolinska Institutet)H-Index: 43
Last. Ulman Lindenberger (MPG: Max Planck Society)H-Index: 86
view all 4 authors...
Over a century of research on between-person differences has resulted in the consensus that human cognitive abilities are hierarchically organized, with a general factor, termed general intelligence or "g," uppermost. Surprisingly, it is unknown whether this body of evidence is informative about how cognition is structured within individuals. Using data from 101 young adults performing nine cognitive tasks on 100 occasions distributed over six months, we find that the structures of individuals' ...
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#1Andreas M. Brandmaier (MPG: Max Planck Society)H-Index: 15
#2Paolo Ghisletta (University of Geneva)H-Index: 28
Last. Timo von Oertzen (MPG: Max Planck Society)H-Index: 18
view all 3 authors...
Longitudinal data collection is a time-consuming and cost-intensive part of developmental research. Wu et al. (2016) discussed planned missing (PM) designs that are similar in efficiency to complete designs but require fewer observations per person. The authors reported optimal PM designs for linear latent growth curve models based on extensive Monte Carlo simulations. They called for further formal investigation of the question as to how much the proposed PM mechanisms influence study design ef...
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#1Timo von Oertzen (MPG: Max Planck Society)H-Index: 18
#2Florian Schmiedek (Leibniz Association)H-Index: 1
Last. Manuel C. Voelkle (Humboldt University of Berlin)H-Index: 16
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Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the difference between covariance structures, expressed by covariance matrices, that evolve between persons and within a single person over multiple time points. ...
1 CitationsSource
: Longitudinal studies are the gold standard for research on time-dependent phenomena in the social sciences. However, they often entail high costs due to multiple measurement occasions and a long overall study duration. It is therefore useful to optimize these design factors while maintaining a high informativeness of the design. Von Oertzen and Brandmaier (2013, Psychology and Aging, 28, 414) applied power equivalence to show that Latent Growth Curve Models (LGCMs) with different design factor...
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#1Viktor Müller (MPG: Max Planck Society)H-Index: 28
#2Viktor K. Jirsa (AMU: Aix-Marseille University)H-Index: 52
Last. Ulman Lindenberger (MPG: Max Planck Society)H-Index: 86
view all 6 authors...
Behavioral and physiological evidence suggests that developmental changes lead to enhanced cortical differentiation and integration through maturation and learning, and that senescent changes during aging result in dedifferentiation and reduced cortical specialization of neural cell assemblies. We used electroencephalographic (EEG) recordings to evaluate network structure and network topology dynamics during rest with eyes closed and open, and during auditory oddball task across the lifespan. Fo...
1 CitationsSource
Growth models (GM) of the mixed-effects and latent curve varieties have become popular methodological tools in lifespan research. One of the major advantages of GM is their flexibility in studying ...
2 CitationsSource
#1Florian Schmiedek (MPG: Max Planck Society)H-Index: 32
#2Martin Lövdén (KI: Karolinska Institutet)H-Index: 43
Last. Ulman Lindenberger (MPG: Max Planck Society)H-Index: 86
view all 4 authors...
2 CitationsSource
Connections between interindividual differences and people’s behavior has been widely researched in various contexts, often by using top-down group comparisons to explain interindividual differences. In contrast, in this study, we apply a bottom-up approach in which we identify meaningful clusters in people’s concerns about various areas of life (e.g., their own health, their financial situation, the environment). We apply a novel method, Dirichlet clustering, to large-scale longitudinal data fr...
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Last. Andreas M. BrandmaierH-Index: 15
view all 8 authors...
#1Steven M. BokerH-Index: 28
#2Timo von OertzenH-Index: 18
Last. Andreas M. Brandmaier (MPG: Max Planck Society)H-Index: 15
view all 3 authors...
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