Also in the Article



NP attitude responses were measured using a five-point Likert scale and collapsed into two discrete categories; agree (agree/strongly agree) or fail to agree (neutral, disagree, strongly disagree) prior to analysis. On any given item, relatively few (1.8%) respondents either did not know the answer or made no response. These non-responses were treated as missing data and excluded from analyses on a variablewise basis. Descriptive statistics were used to describe demographic profiles and Wilcoxon rank sum test used to determine differences in willingness scores. We used R statistical package and conducted a series of exploratory logistic regressions to isolate significant demographic and health status predictors of the general public’s willingness to see an NP. Stepwise backwards variable selection was performed, optimising the Akaike Information Criteria (AIC). This is a model selection technique that attempts to minimise the deviance (error) whilst maximising model parsimony (fewer predictors) [54]. Associations are presented as an odds ratio (OR) in comparison with a reference group and indicated the increased or decreased likelihood of a sub-group within the population to perform a specific behaviour. Statistical significance was set at < 0.05.

Note: The content above has been extracted from a research article, so it may not display correctly.



Also in the Article

Q&A
Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.



We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.