Analyzing Patterns Within Academic and Legal Definitions: a Qualitative Content Analysis of the Term "Cyberbullying" Page: 57
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weaker codes were collapsed into stronger codes, a score of two (2) (explicit) on the
weaker code became an additional score of one (1) (implicit) added to the stronger code.
This ensures that the scoring of strength presence is maintained moving forward. The same
adjustment was made for the aforementioned two sets of similar codes that were collapsed.
The result from the code collapsing yielded 42 codes as listed in Table 4.3.
Collapsed Code and Value Totals for Academic Definitions
Code Value Total Code Value Total
Internet 52 Power imbalance 12
Repeated 40 IM 12
Willful/overt 39 Texting 10
Communication technologies 31 Information 10
Cell (mobile) phone 27 Hurtful 10
Harm 26 Group victim 10
Electronic 24 Social networking 9
Aggression 24 Text 8
Using/misuse 23 Social harm 8
Technology 21 Exclusion 8
Group offender 20 Emotional harm 8
Bullying 20 Embarrass 8
Individual victim 19 Chat room 7
Harassment 19 Sending 6
Email 18 Blogs 6
Individual offender 17 Anonymity 6
Threaten 16 Posting 4
Messages 16 Mean 4
Pictures (images) 15 Inflicting 4
Cruel 15 Hostile 4
Others (victim) 14 Denigrate 4
4.3.3 Academic Definition Categories
The codes were then categorized by grouping similar codes into more general
categories. The results of the categorization can be seen below with the corresponding
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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/m1/58/: accessed December 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .