Psychological Research Methods

Data publications from the research unit "Quantitative Research Methods" (Heidelberg University - Institute of Psychology).

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1 to 3 of 3 Results

Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset] Jun 18, 2019 Bucher, Alica; Voss, Andreas; Spaniol, Julia; Hische, Amelie; Sauer, Nicole, 2019, "Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]", https://doi.org/10.11588/data/4X2FXC, heiDATA, V1 Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether o...
Judging the mood of the crowd: Attention is focused on happy faces [Dataset] Jul 20, 2018 Bucher, Alica; Voss, Andreas, 2018, "Judging the mood of the crowd: Attention is focused on happy faces [Dataset]", https://doi.org/10.11588/data/MES8FE, heiDATA, V1 Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity...
Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset] Jun 22, 2018 Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1 In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...

Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]

Jun 18, 2019

Bucher, Alica; Voss, Andreas; Spaniol, Julia; Hische, Amelie; Sauer, Nicole, 2019, "Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]", https://doi.org/10.11588/data/4X2FXC, heiDATA, V1

Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether o...

Judging the mood of the crowd: Attention is focused on happy faces [Dataset]

Jul 20, 2018

Bucher, Alica; Voss, Andreas, 2018, "Judging the mood of the crowd: Attention is focused on happy faces [Dataset]", https://doi.org/10.11588/data/MES8FE, heiDATA, V1

Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity...

Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]

Jun 22, 2018

Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1

In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...

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