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The purpose of this study
was to examine parents’ communication with their children about the topic of
smoking. A qualitative descriptive design was used. Twenty-nine parents who
lived in rural communities and who had children in kindergarten to Grade 6 were
interviewed. The data were analyzed for themes. A large majority of parents
communicated with their children about smoking through verbal interaction,
using any one of three approaches: discussing
smoking with their children, telling
their children about smoking, or acknowledging
their children’s understanding of
smoking. Those parents also had shown disapproval of smoking, which took
different forms and varied from explicit messages in their verbal communication
to implicit messages in their behaviours.
Three parents had not verbally communicated at all with their children about
smoking. Overall, the parents’ communication patterns with their children
varied in terms of quality and coherence with recommendations in the literature.
describes a novel method of network text analysis, one that involves a new
approach to 1) the selection of words from a
text, 2) the aggregation of those words into higher-order concepts, 3)
the kind of the relationship that establishes statements from pairs of concepts
and 4) the extraction of meaning from the text network formed by these statements.
After describing the method, I apply it to a sample of the seven most recent
winners of the Academy Award for Best Original Screenplay―Little Miss Sunshine, Juno, Milk, The Hurt Locker, The King’s Speech, Midnight in Paris, and Django Unchained. Consistent with
prior research, I demonstrate that structure encodes meaning. Specifically, it
is shown that statements associated with a text network’s least constrained
nodes are consistent with themes in the films’ synopses found on Wikipedia, the
International Movie Database, and Rotten Tomatoes.