Related Experiment Video
Updated: Mar 28, 2026

Author Spotlight: Coproparasitoscopic Examination of Dog Stools for Control and Prevention of Zoonotic Parasite Diseases
Published on: December 15, 2023
A comparison of cat-related risk perceptions and tolerance for outdoor cats in Florida and Hawaii
Dara M Wald1, Cheryl A Lohr2, Christopher A Lepczyk3
1Greenlee School of Journalism and Communication, 214 Hamilton Hall, 613 Wallace Road, Ames, IA, 50011-4010, U.S.A.. dwald@iastate.edu.
Abstract:
Risk perceptions and attitudes toward animals often explain tolerance for wildlife and management preferences. However, little is understood about how these relationships vary across different geographic regions and stakeholder groups. To address this gap in knowledge, we compared differences in acceptance capacity, risk perceptions, perceived enjoyment from outdoor cats, and experiences with outdoor cats among 3 groups (general public, conservation community, and animal-welfare community) in Hawaii and Florida, two states with large conservation challenges. We combined independently collected data from Florida and Hawaii, to determine how perception of the risks presented by outdoor cats, group membership, and state of residence influenced people's tolerance for outdoor cats. Florida respondents were significantly more tolerant of outdoor cats and less concerned about cat-related risks than Hawaii respondents (p < 0.05). In both states, animal-welfare group members reported greater enjoyment seeing cats and perceived a smaller increase in the cat population and lower levels of risk than other groups (p < 0.05). All groups exhibited similar relationships between acceptance capacity and enjoyment and the perceived increase in the cat population. Our results suggest public tolerance for cats varied due to the influence of local or geographical concerns, but that strongly held beliefs, risk perceptions, and feelings about cats explained more of the variance in stakeholder tolerance.
Related Concept Videos
Conservation of Small Populations
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Surveys
Sign Test for Nominal Data
For example, consider a...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...

