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[KİTAP][B] Noise: A flaw in human judgment
NEW YORK TIMES BESTSELLER From the Nobel Prize-winning author of Thinking, Fast
and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad …
and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad …
Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences
The dominant paradigm of experiments in the social and behavioral sciences views an
experiment as a test of a theory, where the theory is assumed to generalize beyond the …
experiment as a test of a theory, where the theory is assumed to generalize beyond the …
Putting psychology to the test: Rethinking model evaluation through benchmarking and prediction
Consensus on standards for evaluating models and theories is an integral part of every
science. Nonetheless, in psychology, relatively little focus has been placed on defining …
science. Nonetheless, in psychology, relatively little focus has been placed on defining …
A framework for modeling human behavior in large-scale agent-based epidemic simulations
Agent-based modeling is increasingly being used in computational epidemiology to
characterize important behavioral dimensions, such as the heterogeneity of the individual …
characterize important behavioral dimensions, such as the heterogeneity of the individual …
How good is good enough? quantifying the impact of benefits, accuracy, and privacy on willingness to adopt covid-19 decision aids
An increasing number of data-driven decision aids are being developed to provide humans
with advice to improve decision-making around important issues such as personal health …
with advice to improve decision-making around important issues such as personal health …
Model evaluation in human factors and ergonomics (HFE) sciences; case of trust in automation
Theories and models are central to Human Factors/Ergonomics (HFE) sciences for
producing new knowledge, pushing the boundaries of the field, and providing a basis for …
producing new knowledge, pushing the boundaries of the field, and providing a basis for …
Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)
The social sciences have produced an impressive body of research on determinants of
fertility outcomes, or whether and when people have children. However, the strength of …
fertility outcomes, or whether and when people have children. However, the strength of …
Predictive fit metrics for item response models
BA Stenhaug, BW Domingue - Applied Psychological …, 2022 - journals.sagepub.com
The fit of an item response model is typically conceptualized as whether a given model
could have generated the data. In this study, for an alternative view of fit,“predictive fit,” …
could have generated the data. In this study, for an alternative view of fit,“predictive fit,” …
Machine learning for modeling human decisions.
The rapid development of machine learning has led to new opportunities for applying these
methods to the study of human decision making. We highlight some of these opportunities …
methods to the study of human decision making. We highlight some of these opportunities …
Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery …
Ground Truth program was designed to evaluate social science modeling approaches using
simulation test beds with ground truth intentionally and systematically embedded to …
simulation test beds with ground truth intentionally and systematically embedded to …