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. 2015 Jun 3:6:762.
doi: 10.3389/fpsyg.2015.00762. eCollection 2015.

Teaching signal detection theory with pseudoscience

Nicole D Anderson  1
Affiliations

Teaching signal detection theory with pseudoscience

Nicole D Anderson. Front Psychol. .
No abstract available

Keywords: decision-making; pedagogy; pseudoscience; scientific thinking; signal detection.

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Figures

Figure 1
Figure 1
Hypothetical representations of the signal and noise probabilities distributed within a decision-maker. (A) Response matrix of all signal-response combinations that can be made in a binary decision task. Green indicates correct decision, red indicates incorrect decision. (B) Proportions of hits and misses represented under the signal distribution. β reflects the subject criterion, c reflects bias, and d' reflects sensitivity which represents the difference in position between the two distributions. (C) Proportions of false alarms and correct rejections represented under the noise distributions. (D) A condition which hypothetically reflects low subject sensitivity. When the distributions are closer together (i.e., d' is smaller), the difference between the proportion of hits and false alarms is lower. (E) A condition which reflects high subject sensitivity. When the distributions are farther apart (i.e., d' is larger), the difference between the proportion of hits and false alarms is higher.
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