Editing Content analysis (section)

== Qualitative and quantitative content analysis ==
Quantitative content analysis highlights frequency counts and statistical analysis of these coded frequencies.<ref name=":03">{{Cite journal|last=Kracauer|first=Siegfried|date=1952|title=The Challenge of Qualitative Content Analysis|journal=Public Opinion Quarterly|volume=16|issue=4, Special Issue on International Communications Research|pages=631|doi=10.1086/266427|issn=0033-362X}}</ref> Additionally, quantitative content analysis begins with a framed hypothesis with coding decided on before the analysis begins. These coding categories are strictly relevant to the researcher's hypothesis. Quantitative analysis also takes a deductive approach.<ref name=":12">{{Cite journal|last1=White|first1=Marilyn Domas|last2=Marsh|first2=Emily E.|date=2006|title=Content Analysis: A Flexible Methodology|journal=Library Trends|volume=55|issue=1|pages=22–45|doi=10.1353/lib.2006.0053|issn=1559-0682|hdl=2142/3670|s2cid=6342233|hdl-access=free}}</ref> Examples of content-analytical variables and constructs can be found, for example, in the open-access database [https://www.hope.uzh.ch/doca DOCA]. This database compiles, systematizes, and evaluates relevant content-analytical variables of communication and political science research areas and topics.

[[Siegfried Kracauer]] provides a critique of quantitative analysis, asserting that it oversimplifies complex communications in order to be more reliable. On the other hand, qualitative analysis deals with the intricacies of latent interpretations, whereas quantitative has a focus on manifest meanings. He also acknowledges an "overlap" of qualitative and quantitative content analysis.<ref name=":03"/> Patterns are looked at more closely in qualitative analysis, and based on the latent meanings that the researcher may find, the course of the research could be changed. It is inductive and begins with open research questions, as opposed to a hypothesis.<ref name=":12"/>