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Case Notes Manual for BUSINESS RESEARCH METHODS 5th Edition by Emma Bell, Alan Bryman, Bill Harley

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Case Notes Manual for BUSINESS RESEARCH METHODS 5th Edition by Emma Bell, Alan Bryman, Bill Harley

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Case Notes Manual for
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Case 1. Content analysis

A content analysis of universities’ and further education colleges’

Twitter usage


Introduction

Despite its popularity and growth, recent research suggests that organizations are

not successfully utilizing social media to conduct dialogic communication (Rybalko

and Seltzer, 2010) and therefore there are queries whether social media can be an

effective relationship-building tool (Taylor and Kent, 2010). This study explored how

universities used Twitter deploying Kent and Taylor’s (2002) five principles of dialogic

communication. These principles are as follows: a) the dialogic loop b) the

usefulness of information c) generation of return visits d) ease of interface and e) the

conservation of visitors.


Research questions

The first research question was ‘Which dialogic principles are present in the

individual Tweets of Colleges and Universities in the United States?’ The second

research questions asked ‘Which publics are targeted in the individual tweets of

major universities and colleges in the United States’. The third and last research

question was ‘Do universities employ the principles of dialogic communication to a

different degree than do liberal arts colleges?’


Methods

The researchers chose every third institution listed in the United States News and

World Reports (2012) of the best colleges and universities. The sample size was

initially 133 institutions in total. Researchers then visited Twitter.com to see if each of

these institutions had an active Twitter profile. Profiles were considered active if they




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had tweeted within one week of 13 October 2011. This criterion gave a final sample

of 113 institutions (60 national universities and 53 liberal arts colleges). The ten most

recent tweets for each of these institutions posted on or before 13 October 2011

were then sampled for inclusion in the study producing a total of 1130 tweets. The

date was chosen in an attempt to represent a typical week on Twitter for a college or

university. Two of the authors of this study coded all 1130 individual tweets. Each

tweet was first coded for its target audience: Prospective Student, Student, Faculty,

Alumni, or Parents. Individual tweets could be coded for multiple target audiences. If

a target audience was not identified the audience was coded as General. Each

dialogic principle outlined above was then coded as either present or not present. If

present, a category was noted for what qualified that principle as present. The two

coders began with a sub-sample of 100 common tweets. Reliability testing was

performed for each principle using Cohen’s kappa and ranged between .66

(conservation of visitors) and 1.0 (usefulness of information).


Results

An independent sample t-test was conducted to compare the use of each of the four

dialogic principles by both national universities (n = 60) and liberal arts colleges (n =

53). Three of the four principles were employed by national universities to a greater

extent than they were by liberal arts colleges. The key finding of the study was that

the majority (89.1%, 1007 tweets out of 1130) of universities’ Twitter accounts are

directed towards a more general audience. Just 54 tweets (4.8%) were directed

towards prospective students, 69 (6.1%) were directed towards current students, 18

(1.6%) towards faculty, 19 (1.7%) towards alumni and 54 (4.8%) towards parents. It

was also found that 790 (69.9%) of the 1130 tweets contained links; 587 (51.9%) of

these were links to other parts of the institutions’ internet presence. Just 29.5% of




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tweets met the dialogic loop principle, primarily through retweets, indicating that

universities are not successfully using this tool in the way it is promoted.


Discussion and further research

More work will be needed to explore the reasons for these findings and if social

media tools such as Twitter can function in a dialogical manner. The small significant

difference found between universities’ and liberal arts colleges’ use of the principle of

usefulness of information and the larger difference in their use of the principle of

generation of return visits may be explained by the size and resources available to

these institutions. Larger institutions often have more events on campus, more

successful sports teams, and greater capacity for faculty research and awards. This

may lead to more media coverage and more opportunities to tweet links to outside

sources.


Questions for consideration

1) What do you think the ‘content’ part of this content analysis refers to? What

other content could be included?

2) What other research methods would you use to complement this content

analysis with further study?

3) In addition to this study, how would you conduct a content analysis of

universities’ websites?


Source

Linvill, D., McGee, S., and Hicks, L. (2012), ‘Colleges’ and Universities’ use of
Twitter: A content analysis’, Public Relations Review, 38(4): 636-638.




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