risk propensity v. priming and demographics
Post on 05-Jul-2015
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Alan NochensonIST 597J Method Implementation10/24/2012
Is it possible to prime participants so that they ask in a less risky way in security user studies?
Pennstate.qualtrics.com Let me randomize viewing order and other
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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
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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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
Order does not have an effect
Median: 40%Mean: 43%
Gender almost has an effect (males higher)
Country of origin has no effect
U.S. – 14India – 5China – 3Other – 1 (Israel)
Income almost has an effectMedian: $80-90kMode: Over $100k (9 of 23)
Education has no effectMedian: completed 4 year degreeMode: same (11 of 23)
Gender has a weak effect
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
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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