Misjudgment of interrupted time-series graphs due to serial dependence: Replication of Matyas and Greenwood (1990)
Interrupted time-series graphs are often judged by eye. Such a graph might show, for example, patient symptom severity (y) on each of several days (x) before and after a treatment was implemented (interruption). Such graphs might be prone to systematic misjudgment because of serial dependence, wher...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society for Judgment and Decision Making
2021-05-01
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| Series: | Judgment and Decision Making |
| Subjects: | |
| Online Access: | http://journal.sjdm.org/20/200728d/jdm200728d.pdf |