Sabrina Guye|Carla De Simoni|Claudia C. von Bastian
Do Individual Differences Predict Change in Cognitive Training Performance? A Latent Growth Curve Modeling Approach
University of Zurich|University of Zurich|Bournemouth University
cognitive training interventions become increasingly popular potential means costefficiently stabilize enhance cognitive functioning across lifespan large training improvements consistently reported group level however large differences individual level identifying factors contributing individual differences could allow developing individually tailored interventions boost training gains study therefore examined range individual differences variables discussed literature potentially predict training performance estimate predict individual differences training trajectories applied latent growth curve models existing data three working memory training interventions younger older adults however found individual differences demographic variables realworld cognition motivation cognitionrelated beliefs personality leisure activities computer literacy training experience largely unrelated change training performance solely baseline cognitive performance substantially related change training performance particularly young adults individuals higher baseline performance showing largest gains thus results conform magnification accounts cognitive change