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- All Subjects: psychology
- Creators: Salerno, Jessica
The specific instructions in this study were inspired by Fuzzy Trace Theory, which holds that simple language and visual aids that convey the ‘gist’ of complex information can help people make better decisions (Reyna & Brainerd, 1995). Participants (N= 496) were randomly assigned to one of two juror instruction conditions (specific vs. typical). All participants read a 10-page insanity defense case vignette, and were tasked with reaching a verdict. They were provided with 5 verdict options: Not Guilty, Guilty, and three different insanity options (Not Guilty by Reason of Insanity, Guilty but Mentally Ill, Guilty Except Insane). Results supported the hypothesis that jurors who received specific (vs. typical) instructions would comprehend more information about the available verdicts, and would be more likely to choose an insanity defense verdict. As expected, jurors’ preexisting attitudes toward the insanity defense influenced their verdicts. Although it was hypothesized that increasing jurors’ understanding would result in them relying less on their attitudes and motivated reasoning processes in reaching their legal judgments, the evidence did not support this. Results suggest more specific instructions that includes information about outcomes is preferred by jurors, and that they are better able to understand and perform their duties when provided with more useful information. However, further research is needed to identify methods for helping jurors rely less on biased reasoning processes in their legal judgments.
ear, and 29.3% for related
ear. Unfortunately, there were no statistically significance for any of the response time effects, which McGregor and Howe found for the interaction between skill and proximity. Despite eye-tracking and EEG data not either support nor confirm McGregor and Howe's theory on how chess players memorize chessboard configurations, these metrics did help build a secondary theory on how novices typically rely on proximity to approach chess and new visual problems in general. This was exemplified by the statistically significant results for short-term excitement for the two-way interaction of skill and proximity, where the largest short-term excitement score was between novices on near proximity slides. This may indicate that novices, because they may lean toward using proximity to try to recall these pieces, experience a short burst of excitement when the pieces are close to each other because they are more likely to recall these configurations.
Based on findings of previous studies, there was speculation that two well-known experimental design software packages, JMP and Design Expert, produced varying power outputs given the same design and user inputs. For context and scope, another popular experimental design software package, Minitab® Statistical Software version 17, was added to the comparison. The study compared multiple test cases run on the three software packages with a focus on 2k and 3K factorial design and adjusting the standard deviation effect size, number of categorical factors, levels, number of factors, and replicates. All six cases were run on all three programs and were attempted to be run at one, two, and three replicates each. There was an issue at the one replicate stage, however—Minitab does not allow for only one replicate full factorial designs and Design Expert will not provide power outputs for only one replicate unless there are three or more factors. From the analysis of these results, it was concluded that the differences between JMP 13 and Design Expert 10 were well within the margin of error and likely caused by rounding. The differences between JMP 13, Design Expert 10, and Minitab 17 on the other hand indicated a fundamental difference in the way Minitab addressed power calculation compared to the latest versions of JMP and Design Expert. This was found to be likely a cause of Minitab’s dummy variable coding as its default instead of the orthogonal coding default of the other two. Although dummy variable and orthogonal coding for factorial designs do not show a difference in results, the methods affect the overall power calculations. All three programs can be adjusted to use either method of coding, but the exact instructions for how are difficult to find and thus a follow-up guide on changing the coding for factorial variables would improve this issue.