Anna-Lena Schubert
Anna-Lena Schubert
Professor of Analysis and Modeling of Complex Data, University of Mainz
Verified email at uni-mainz.de - Homepage
Title
Cited by
Cited by
Year
Decomposing the relationship between mental speed and mental abilities
AL Schubert, D Hagemann, A Voss, A Schankin, K Bergmann
Intelligence 51, 28-46, 2015
642015
Is general intelligence little more than the speed of higher-order processing?
AL Schubert, D Hagemann, GT Frischkorn
Journal of Experimental Psychology: General 146 (10), 1498, 2017
482017
The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?
A Kretzschmar, M Spengler, AL Schubert, R Steinmayr, M Ziegler
Journal of Intelligence 6 (3), 2018
422018
Trait characteristics of diffusion model parameters
AL Schubert, GT Frischkorn, D Hagemann, A Voss
Journal of Intelligence 4 (3), 7, 2016
402016
The role of language comprehension in reasoning: How “good-enough” representations induce biases
A Mata, AL Schubert, MB Ferreira
Cognition 133 (2), 457-463, 2014
382014
Evaluating the model fit of diffusion models with the root mean square error of approximation
AL Schubert, D Hagemann, A Voss, K Bergmann
Journal of Mathematical Psychology 77, 29-45, 2017
362017
Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application
GT Frischkorn, AL Schubert
Journal of Intelligence 6 (3), 2018
292018
Processing Speed, Working Memory, and Executive Functions: Independent or inter-related predictors of general intelligence
GT Frischkorn, AL Schubert, D Hagemann
Intelligence, 2019
272019
Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account
AL Schubert, MD Nunez, D Hagemann, J Vandekerckhove
Computational Brain & Behavior 2 (2), 64-84, 2019
262019
Inter‐trial alpha power indicates mind wandering
S Arnau, C Löffler, J Rummel, D Hagemann, E Wascher, AL Schubert
Psychophysiology 57 (6), e13581, 2020
232020
Neurocognitive psychometrics of intelligence: How measurement advancements unveiled the role of mental speed in intelligence differences
AL Schubert, GT Frischkorn
Current Directions in Psychological Science 29 (2), 140-146, 2020
212020
The validity of the online thought-probing procedure of mind wandering is not threatened by variations of probe rate and probe framing
AL Schubert, GT Frischkorn, J Rummel
Psychological Research, 2019
212019
Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence.
V Lerche, M von Krause, A Voss, GT Frischkorn, AL Schubert, ...
Journal of Experimental Psychology: General, 2020
202020
Neural correlates of reappraisal considering working memory capacity and cognitive flexibility
J Zaehringer, R Falquez, AL Schubert, F Nees, S Barnow
Brain imaging and behavior 12 (6), 1529-1543, 2018
202018
Oral health‐related quality of life as a predictor of subjective well‐being among older adults—A decade‐long longitudinal cohort study
AL Klotz, B Tauber, AL Schubert, AJ Hassel, J Schröder, HW Wahl, ...
Community dentistry and oral epidemiology 46 (6), 631-638, 2018
182018
A meta-analysis of the worst performance rule
AL Schubert
Intelligence 73, 88-100, 2019
162019
Faster, but not smarter: An experimental analysis of the relationship between mental speed and mental abilities
AL Schubert, D Hagemann, GT Frischkorn, SC Herpertz
Intelligence 71, 66-75, 2018
152018
Disentangling the effects of processing speed on the association between age differences and fluid intelligence
AL Schubert, D Hagemann, C Löffler, GT Frischkorn
Journal of Intelligence 8 (1), 1, 2020
132020
The worst performance rule as moderation: New methods for worst performance analysis
GT Frischkorn, AL Schubert, AB Neubauer, D Hagemann
Journal of Intelligence 4 (3), 9, 2016
122016
Does process overlap theory replace the issues of general intelligence with the issues of attentional control?
AL Schubert, A Rey-Mermet
Elsevier Science, 2019
112019
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