Psychological Research Methods

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

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1 to 5 of 5 Results

Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad Aug 20, 2020 Alica Mertens; Mischa von Krause; Alexandra Denk; Theresia Heitz, 2020, "Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad", https://doi.org/10.11588/data/KPY585, heiDATA, V1, UNF:6:m/fJhuHUlo37Y+XZGy2i2w== [fileUNF] Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the...
Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset] Feb 26, 2020 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, V2 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...
Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset] Feb 11, 2020 Mertens, Alica; Hepp, Johanna; Voss, Andreas; Hische, Amelie, 2020, "Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]", https://doi.org/10.11588/data/LYWYGN, heiDATA, V1 Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influenc...
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...

Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad

Aug 20, 2020

Alica Mertens; Mischa von Krause; Alexandra Denk; Theresia Heitz, 2020, "Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad", https://doi.org/10.11588/data/KPY585, heiDATA, V1, UNF:6:m/fJhuHUlo37Y+XZGy2i2w== [fileUNF]

Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the...

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

Feb 26, 2020

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, V2

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...

Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]

Feb 11, 2020

Mertens, Alica; Hepp, Johanna; Voss, Andreas; Hische, Amelie, 2020, "Pretty crowds are happy crowds - The influence of attractiveness on mood perception. Psychological Research [Dataset]", https://doi.org/10.11588/data/LYWYGN, heiDATA, V1

Empirical findings predominantly support a happiness superiority effect in visual search and emotion categorization paradigms and reveal that social cues, like sex and race, moderate this advantage. A more recent study showed that the facial attribute attractiveness also influenc...

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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