Analyzing Patterns Within Academic and Legal Definitions: a Qualitative Content Analysis of the Term "Cyberbullying" Page: 49
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it was not present, and a N/A was put in place of the word in the respect column where the
word was not present. (See Appendix F for a table of the final prepared data for analysis).
Once the data was prepared, a paired samples t-Test was run in SPSS 21. A paired
samples t-Test was chosen because the objective was to see if there was a difference the
word frequencies between the two data sets. It was determined that the independent
variable (IV) would be the actual words, and the dependent variable (DV) would be the
presence and frequency within the separate academic and legal definitions. The null
hypothesis (No)would be that there is no difference in the word frequencies between the
legal and academic definition data sets. The hypothesis (Ha)would be that there is a
difference in the word frequencies between the legal and academic definitions. Statistical
significance was measured with a p-value >.05.
3.7 Deductive Data Analysis
In addition to the inductive/emergent coding of the data, a deductive approach was
taken. The coding criteria was based on Vandebosh and Van Cleemput (2008) who suggest
that in order for a definition to be considered true cyberbullying, it must meet the following
criteria (p. 449):
1. They are be intended to hurt (by the perpetrator) and perceived hurtful (by the
2. Be part of a repetitive pattern of negative offline or online actions
3. and be performed in a relationship characterized by a power imbalance (based
on "real-life" power criteria, such as physical strength or age, and/or on ICT-
related criteria such as technological know-how and anonymity)
The academic and legal definitions were coded according to this criteria to determine
which definitions met the aforementioned criteria set forth.
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Winn, Matthew R. Analyzing Patterns Within Academic and Legal Definitions: a Qualitative Content Analysis of the Term "Cyberbullying", dissertation, August 2013; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc283860/m1/50/: accessed October 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .