For example, McKee and Porter provide a range of research variables (public/private, topic sensitivity, degree of interaction, and subject vulnerability) which are useful in determining where on the continuum of text-based versus how person-based the research is, and whether or not subjects would need to consent to the research (pp. 87 88).
The high degree of similarity between topics can also be easily inferred from the abstracts and introductions of these articles.
This predicts that the benefit of the exercise will be related to the degree of similarity between topic-matched question pairs.
It is surprising, however, to what degree the topic of class is off limits elsewhere as well.
Each node of the graph denotes a topic, and an edge between nodes denotes degree of correlation between two topics.
In this representation we are able to see a large degree of separation of the topic clusters, while also revealing the analog within-category variation in abstract similarity.
Article nodes were incorporated based on a high degree of relatedness to the topic clusters, including any highly cited articles not part of the original data set.
Therefore, initial selection of the recommendation was based on a detailed exploration of its characteristics, how health professionals' themselves prioritise these, degree of prioritisation of the topic in the PCT, and consideration of pragmatic factors.
The knowledge refers to the degree of understanding of the topic and associated issues, while attitude refers to respondent's feelings towards them.
More specifically, individuals may need to have some degree of interest in the topic in order for an intervention to have an impact on behaviour.
