Dominik Deffner
Dados Biográficos
| ID | 171392 |
|---|---|
| NOME | Dominik Deffner |
| PRENOMES | Dominik |
| SOBRENOME | Deffner |
| ASSINATURA | DEFFNER D |
| AFILIAÇÕES | Max Planck Institute for Human Development |
| ORCID | 0000-0002-1649-3861 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 2 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 1 |
A Causal Framework for the Comparability of Latent Variables
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent review showed that MI is rarely investigated in practice. We argue that one reason might be that the res…
A Cognitive Computational Approach to Social and Collective Decision-Making
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistic…
Color me impressed
A cognitive computational approach to social and collective decision-making
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistic…
Second annual workshop of the Association of Early-Career Social Learning Researchers in St Andrews, Scotland
A Cognitive Computational Approach to Social and Collective Decision-Making
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistic…
Second annual workshop of the Association of Early-Career Social Learning Researchers in St Andrews, Scotland
Color me impressed
A cognitive computational approach to social and collective decision-making
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistic…
A Cognitive Computational Approach to Social and Collective Decision-Making
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistic…
A Causal Framework for the Comparability of Latent Variables
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent review showed that MI is rarely investigated in practice. We argue that one reason might be that the res…
Artificial Intelligence (4 obras) · Cognition (3 obras) · Cognitive psychology (3 obras) · Computer Science (3 obras) · Psychology (3 obras) · Social Psychology (3 obras) · Cognitive science (2 obras) · Opinion Dynamics and Social Influence (2 obras) · Reinforcement learning (2 obras) · Social cognition (2 obras)