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Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise.

IEEE transactions on visualization and computer graphics

Reimann D, Blech C, Ram N, Gaschler R.
PMID: 33444142
IEEE Trans Vis Comput Graph. 2021 Sep;27(9):3834-3838. doi: 10.1109/TVCG.2021.3051853. Epub 2021 Jul 29.

Scatterplots with a model enable visual estimation of model-data fit. In Experiment 1 (N = 62) we quantified the influence of noise-level on subjective misfit and found a negatively accelerated relationship. Experiment 2 showed that decentering of noise only...

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Reimann D, Blech C, Ram N, et al. Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise. IEEE Trans Vis Comput Graph. 2021;27(9):3834-3838doi: 10.1109/TVCG.2021.3051853.
Reimann, D., Blech, C., Ram, N., & Gaschler, R. (2021). Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise. IEEE transactions on visualization and computer graphics, 27(9), 3834-3838. https://doi.org/10.1109/TVCG.2021.3051853
Reimann, Daniel, et al. "Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise." IEEE transactions on visualization and computer graphics vol. 27,9 (2021): 3834-3838. doi: https://doi.org/10.1109/TVCG.2021.3051853
Reimann D, Blech C, Ram N, Gaschler R. Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise. IEEE Trans Vis Comput Graph. 2021 Sep;27(9):3834-3838. doi: 10.1109/TVCG.2021.3051853. Epub 2021 Jul 29. PMID: 33444142.
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Best Graph Type to Compare Discrete Groups: Bar, Dot, and Tally.

Frontiers in psychology

Zhao F, Gaschler R.
PMID: 35002865
Front Psychol. 2021 Dec 24;12:775721. doi: 10.3389/fpsyg.2021.775721. eCollection 2021.

Different graph types might differ in group comparison due to differences in underlying graph schemas. Thus, this study examined whether graph schemas are based on perceptual features (i.e., each graph has a specific schema) or common invariant structures (i.e.,...

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Zhao F, Gaschler R. Best Graph Type to Compare Discrete Groups: Bar, Dot, and Tally. Front Psychol. 2021;12:775721doi: 10.3389/fpsyg.2021.775721.
Zhao, F., & Gaschler, R. (2021). Best Graph Type to Compare Discrete Groups: Bar, Dot, and Tally. Frontiers in psychology, 12775721. https://doi.org/10.3389/fpsyg.2021.775721
Zhao, Fang, and Gaschler, Robert. "Best Graph Type to Compare Discrete Groups: Bar, Dot, and Tally." Frontiers in psychology vol. 12 (2021): 775721. doi: https://doi.org/10.3389/fpsyg.2021.775721
Zhao F, Gaschler R. Best Graph Type to Compare Discrete Groups: Bar, Dot, and Tally. Front Psychol. 2021 Dec 24;12:775721. doi: 10.3389/fpsyg.2021.775721. eCollection 2021. PMID: 35002865; PMCID: PMC8740269.
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Showing 97 to 98 of 98 entries