Saturday, September 28, 2013

A500.7.3.RB_DiazBrian


This week I learned about quantitative research and its elements.  What is quantitative research?  Quantitative research is "research based on traditional scientific methods, which generates numerical data and usually seeks to establish casual relationships between two or more variables, using statistical methods to test the strength and significance of the relationships." Retrieved from http://www.encyclopedia.com/doc/1O62-quantitativeresearch.html
 
“The information about a social phenomenon is expressed in numeric terms that can be analyzed by statistical methods.” wrote Mamia about the quantitative method.  I had to sit back for a minute and ask myself “Can I think of a social phenomenon that can be expressed in numerical terms and analyzed by statistics?”  It took me a moment but then I thought about Facebook (Twitter came to mind as well but Facebook came to me first).  Here is a social phenomenon that has not only captivated millions of people in the U.S. but has really made a global impact.  Certainly this could be an example of a social phenomenon that can be expressed numerically and analyzed by statistical methods.  My curiosity began to get the better of me so I used the Hunt Library in search of an article to corroborate my suspicion and I found How large companies react to negative Facebook comments.  “The study identifies official Facebook pages sponsored by the top ten companies (as defined by the Forbes 2000 for 2010) in four industry groups - banking, retailing, software and services, and household and personal products. The number of negative comments posted to these pages is calculated and corporate reactions to the comments analyzed. “


I remember years ago when I started to hear all the buzz about Facebook.  I didn’t quite get it.  At the time MySpace was pretty popular and I the interface was more appealing to me.  However as time went on I kept hearing more and more buzz about Facebook so I finally decided to give it a try.  Well looks like I’m not the only one who decided to give Facebook a go.  It now boasts upwards of up to a billion users (although it is very hard to determine the actual number because of fake accounts, and underage users).  I guess a quantitative study could theoretically be performed to verify the number of actual users on the website.  The scope of such a study I can imagine would be a challenging task given variable such as new daily members, members leaving, member inactivity, etc.
The quantitative method seemed to make more sense to me when I considered it in terms of the study performed by Dekay.  Research usually involves the elements of theoretical and empirical research as well.   Empirical research involves learning through direct or indirect observation.  Theoretical research studies problems relating to or based on theory. 

Quantitative research has strengths and weaknesses.  Some of the strengths are: it enables the research and description of social structures and processes that are not directly observable, tests hypothesis that are formed before data is collected, you can use statistical software to analyze data, useful for studying large groups.  Some of its weaknesses may include: the categories and theories used by the researcher might not might reflect the understanding of the study’s participants, the information gathered might be too abstract or general for application to specific groups, only applicable for measurable phenomena.

In order to conduct your research you have to have a plan.  First you will want to select a topic to research.  Once you have selected a topic you will want to learn what previous research on the same topic has been done before.  How was the study conducted?  Was there any reoccurring themes discovered?  Is there enough data?  Next you can select your theoretical approach.  Specify the research problem into questions that the research can answer.  Lastly plan the empirical research process or research design.  Research design is the structure of the research data.  How will it be organized?  What will be explored?  When studying large groups it may not be possible to obtain all of the observations.  When this occurs a “sample” of the population is studied.  Generalizations can be made from these samples.  To obtain data you can use face to face interviews, questionnaires, phone interviews, or systematic observation.  When collecting data you need informed consent, anonymity, you cannot harm the participants.  Without a plan where would you know where to begin?  How would you know what to expect or anticipate?  I like to consider myself a pretty good planner.  When my wife and I planned our honeymoon trip to San Francisco a few years ago, I was determined to learn as much about the city as possible.  I bought Fodor’s San Francisco 2011: with the Wine Country in anticipation of our trip.  I planned our trip from the moment we touched down until the very last day.  We visited Alcatraz, walked across the Golden Gate Bridge, and made our way to Sonoma for some amazing wine tastings.  I fell in love with San Francisco on this trip and we hope to return as soon as Caiden is old enough to travel well.  I enjoy learning about different cultures, experiencing new places, and building memories with my wife.  In order to have experienced all the amazing sights of San Francisco I needed to have a plan.

For example, say I wanted to explore why ERAU students would choose to shop at a Sam’s Club vs. a Costco.  I would research reliable sources to determine if there had been any similar previous studies completed.  I would conduct theoretical and empirical research.  I would devise a plan in order to collect data by developing a questionnaire and distributing it via email.  I would record and analyze the responses.  Once that was completed I would answer the empirical questions and conduct my theoretical interpretations of the results.  Those results would then be compared to earlier research so that I could make my conclusion.
        

Dekay, S. H. (2012). How large companies react to negative Facebook comments, 17, 3. http://dx.doi.org.ezproxy.libproxy.db.erau.edu/10.1108/13563281211253539
                                                                                                                                                               

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