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Why a Communication Research Class Quantitative Content Analysis Assignment?
In my opening post to the Spring 2018 semester, I reviewed several new assignments and activities I will be bringing into my classes this semester.
In this post, I will discuss the quantitative content analysis assignment that students will complete in my COMM 435 Communication Research course. The project simulates an analysis of earned media placement.
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Metrics, Metrics, Metrics! I hear it everywhere I turn. 🙂 More than ever, we need to be teaching our students research skills.
This Spring 2014 semester I am really excited to be teaching an applied Communication Research class!
For two years at Utah Valley University, I taught communication research with an emphasis on academic research. You can see the syllabus for that class. In that class, student groups planned, wrote up, and executed a semester long academic research study. Though many professors don’t prefer to teach this class, research is one of my favorite classes to teach. I’ve had numerous undergraduate students present their research at undergraduate research conferences and earn travel grants to do so. This is a super valuable experience for those considering grad school. Though it is very time demanding, and some feel teaching others how to conduct research is tedious, I didn’t find it that way at all. Seeing students get that “aha” moment in research and seeing them succeed makes teaching the class very rewarding.
This semester, I’ll be focusing on the more practical uses of research with an emphasis on using research for strategic purposes. This class emphasizes research across new media, legacy media, and interpersonal and online environments. Students will learn both quantitative and qualitative methods.
This hands on class will emphasize the following research skill sets:
How to conduct content analysis using a coding sheet.
How to conduct a computer-assisted content analysis
How to conduct interviews and focus groups
How to conduct quantitative electronic surveys using iPads
Students will work in teams to conduct 3 applied projects. The first 2 projects are real-world problems I set up and the students have to solve, and in the 3rd project they have to identify a problem, write a proposal, and execute:
Media placement evaluation – Answering questions such as, placement, share of voice, and whether key messages are included in media coverage and to what extent. Done via content analysis of media clippings.
Sentiment analysis of social media content – What are people saying about your brand on social media, and what is sentiment towards it? Done via computer-assisted content analysis of Twitter posts.
Audience Research – Focuses on 1 of the 5 key PR variables discussed by Stacks (2011): Confidence, credibility, relationship, reputation (which may include awareness), or trust. Students will choose 2 of the following: interviews, focus groups, and surveys.
Students will be introduced to the following software:
Computer-assisted content analysis (Yoshikoder will be used as it is free and easy to learn)
Open Data Kit Collector – field data survey collection software (we will be using this with the XLS forms on the free FormHub.com online form tool).
SPSS – We won’t get too far into SPSS due the other demands on the students time, but students will learn data entry, descriptive statistics, and correlation analysis.
I’ll be posting the syllabus for the class soon! As the semester goes along, I hope to get up a number of blog posts expanding on the class, assignments, and so forth. So check back!
Have you taught research – what do you emphasize in your class? How can I improve my class? What key skill sets should we be teaching future practitioners?
A Social Media Education Blog by Matthew J. Kushin, Ph.D.
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