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Data collection is key to enforcing a position on a given subject.

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POST by Will
Data collection is key to enforcing a position on a given subject.  This position may be to disprove a current belief or to add proof to why it is a fact.  One of the main focuses in data correlation is to filter through large collections of collected data with the goal of finding instances where the collected data can further support your stance or viewpoint.   Once data has been attributed towards your goal, it has gone from being obtuse to usable.
For instance, focus groups provide a multitude of members to get opinions about a given topic,(Ranjit Kumar, 2014, Research Methodology, pg 193). These opinions can be based on experience,  preference, or simply provide a sample group to demonstrate public opinion on a matter.  
The downside to focus groups is that the choice of the group can be used to dissuade public opinion much like the public feels that many news groups are (Gallup, 2018, Americans See More News Bias).  Have you ever watched the news or a late night show and wondered why there are slack jawed yokels giving their opinion on a situation?  It's not that the news agency or show host didn't interview more intelligent people, it is that they purposefully left out the data that did not support their case or point of view.  Look at the Jimmy Kimmel Live skit on What's your Password, (Jimmy Kimmel, 2017, What's your Password?). In this skit, several people are interviewed, and every one of them is demonstrating a very poor personal policy in regards to password strength.  Many of them admitted what their password was on air, and some who didn't release it at first fell victim to basic phishing techniques. 
Another shortfall to this method is where the groups are chosen from.  If you are trying to support a conservative concept, it is probably not a good idea to pull your focus group sampling from Los Angeles, or New York as these cities trend towards a more liberal nature and opinion. 
For the references I used, there are both qualitative and quantitative references.  The Gallup article for instance included a pole of 19,196 adults from all 50 US states whom were 18 and older, (Gallup, 2018, Americans See More News Bias).  It also represents a secondary source as the data collected from it was provided by a mass media source being Gallup and its data collection of analytics. The Jimmy Kimmel reference on the other hand was a qualitative article in that the interviewer could ask about personal password protection methods in any way they wanted.  It wasn't focused in regards to the questions, but the finality was in support of the opinion that there are a large multitude of people who fail to use good password etiquette in their home.  It is also the example of a primary source in that the data collector is focused on proving that people are terrible with passwords. 
As far as my paper goes, my primary source will be myself conducting interviews with different people both in public and military organizations. For my secondary sources I will use prior research articles relating to my subject pulled from the APUs library such as " Broadhurst, Roderic (2006) Developments in the global law enforcement of cyber-crime" to support the ongoing limitations in litigating cyber crimes.
References:
-  Kumar, R. (2014), Research Methodology, SAGE publications limited, g 193
- KImmel, J. (2017), What's your Password?, pulled from https://youtu.be/UzvPP6_LRHc on 27 June 2018.
- Gallup (2018), Americans See More News Bias pulled from h
EXAMPLE
Will,
                You make a great point about how the media twists data in order to suit their needs.  I have to admit, I thoroughly enjoy watching the “man on the street” segments that go out and ask people random questions to showcase just how little people really know about a given subject.  However, I always wonder how many people they had to ask those questions to before they got the responses they wanted.  The problem with any type of video that is posted with this type of aim is that it does not provide the full context of the data that was gathered.  They show the parts that support their point while discarding anything that hurts it.  As entertaining as they may be, it distorts the public’s perceptions on the subject and furthers the rampant misinformation that comes out of news agencies that all have some type of political leaning.  If only we would stop watching them, but it is just entertaining television.  Let’s face it though, that is ratings is really what it’s all about right?
Gregg

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