risk propensity v. priming and demographics
TRANSCRIPT
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Alan NochensonIST 597J Method Implementation10/24/2012
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Is it possible to prime participants so that they ask in a less risky way in security user studies?
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Pennstate.qualtrics.com Let me randomize viewing order and other
advanced options
Timing
Browser statistics
Number of clicks
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Based on Meertens and Lion (2008)
Had to reverse-score the appropriate questions (typo in original paper)
Then, add up the answers to get a score (higher is more risk-seeking)
Change to percentage
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H1: The order in which the warning message is displayed has an impact on risk propensity
H2: Demographic factors have an impact on risk propensity
H3: Demographic factors have an impact on knowledge about phishing
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Remove unused variables
Timing
Browser information
Change variables to usable categorical forms
Change to binary yes/no
▪ Phishing question correct?
▪ Country of origin is US?
Change to low/high around median
▪ Education, Income, RPS, Age
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Order does not have an effect
Median: 40%Mean: 43%
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Gender almost has an effect (males higher)
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Country of origin has no effect
U.S. – 14India – 5China – 3Other – 1 (Israel)
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Income almost has an effectMedian: $80-90kMode: Over $100k (9 of 23)
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Education has no effectMedian: completed 4 year degreeMode: same (11 of 23)
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Gender has a weak effect
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Recruitment is difficult Difficult to see effects with small n Important to use not only crosstabs Important to go in with specific
hypothesis, otherwise too many options
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Meertens, R. M. and R. Lion. 2008. “Measuring and Individual’s Tendency to Take Risks: the Risk Propensity Scale” Journal of Applied Social Psychology. 38(6): 1506-1520.
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