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Nicole Gruen, Chris Hatter, Austin Kucera, Jack Marchetti, Brad Noe
   Involvement
     Who’s involved?
   Identification
     How do they identify?
   Creating Rivalry
     What makes a rivalry?
     Who do we suggest as an in-conference Rival?
   Convenience Sampling
     People who were easy to reach
Other
                Fan    11%
                3%
Alumni
  9%




Faculty/Staff                 Students
    18%                         59%
50%
Percent of Participants




                          40%

                          30%

                          20%

                          10%

                          0%
                                18-22   23-29   30-39       40-49     50-59   60 or above
                                                Age of Participants
   When we asked questions about involvement
    we wanted to see a few things
     How many events were attended by our sample
      group
     What is the best way to reach our sample group to
      inform them about an event
     What factors influenced them to attend an event
     What factors influenced them NOT to attend an
      event
   116 out of 208 (55%) of people surveyed have
    attended at least one event in the past two
    years
   64 out of 106 (60%) of males surveyed have
    attended at least one event in the past two
    years
   51 out of 102 (50%) of females surveyed have
    attended at least one event in the past two
    years
60

            50

            40
(Percent)




            30
                                                          Males
            20                                            Females

            10

             0
                 0   1-3        4-10        11-19   20+
                           Games Attended
   Data we collected reveals most likely method
       respondents hear about NKU events*:
        NKU website (76.7%)
        Posting a sign on campus (74.3%)
        Word of mouth via Friend (64.3%)
        Handing out Schedule Cards (61.4%)



* Percentages indicate portion of respondents that chose ‘somewhat
likely’, ‘likely’, or ‘very likely’; points 4-6 on six-point scale.
   The evidence shows that the main factors
    that influenced a person to attend an event
    were (checked ‘somewhat influential’ or greater):
     Free Ticket (73%)
     Fan of the Team (61%)
     Invited by friend(59%)
26%

            Yes
            No

      74%
   The evidence shows that the main factors
    that influenced a person to attend an event
    were (checked ‘somewhat influential’ or greater):
     Not a priority for my free time(70%)
     Lack of Interest in teams(50%)
     The main thing is make going to an event
        worth a person’s time.
                         Not a Priority when spending Free time


                                                    Frequency          Percent
Not at all Influential                                            10              10.6
Hardly any Influence                                               2               2.1
Moderate Influence                                                 7               7.4
Somewhat Influential                                              16              17.0
Very Influential                                                  27              28.7
Extremely Influential                                             32              34.0
Total                                                             94             100.0


  *94 is the number of people who have not attend a single event
      Passing out Schedule Cards
                                 Schedule Cards


                                              Frequency            Percent
Very Unlikely                                             26                  27.7
Unlikely                                                  11                  11.7
Somewhat Unlikely                                          9                   9.6
Somewhat Likely                                           19                  20.2
Likely                                                    17                  18.1
Very Likely                                               12                  12.8
Total                                                     94                 100.0




  *94 is the number of people who have not attend a single event
      Posting signs about an event around campus
                                 Sign on campus


                                              Frequency            Percent
Very Unlikely                                             21                  22.3
Unlikely                                                   3                   3.2
Somewhat Unlikely                                          6                   6.4
Somewhat Likely                                           13                  13.8
Likely                                                    23                  24.5
Very Likely                                               28                  29.8
Total                                                     94                 100.0


  *94 is the number of people who have not attend a single event
   Fan Identification is explained as how
    “identified you are with a certain team”.
   This can be shown by your involvement with
    that team such as going to games, or wearing
    their apparel.
   It is also apparent in your language. Referring
    to a team as “we” is a sign of strong
    identification. (Basking in Reflective Glory)
202 Respondents to the open-ended question:

“IN YOUR OPINION, WHAT
   DEFINES A RIVALRY?”
 History
 Geography
 Highly Competitive/Parity
 Hatred/Strong Dislike
 Same Conference
 Frequency of Play
 Highly Competitive/Parity: 96
 Geography: 47
 History: 42
 Hatred/Strong Dislike: 21
 Frequency of Play: 11
 Same Conference: 7

*Coded data based on qualitative responses
 Highly Competitive + Geography: 22
 Highly Competitive + History: 20
 Geography + Conference: 5
 Geography + Frequency: 5
 Highly Competitive + Hatred: 5


*Coded data based on qualitative responses
   History between NKU and any of their new
    conference counterparts in the Atlantic Sun?
   Atlantic Sun teams in relatively close
    proximity to Highland Heights?
   Will we be competitive in this conference?
   Must develop strong fan identification with
    NKU teams to create passion and strong
    dislike of potential rivals in the conference
East Tennessee State University
   East Tennessee State University is who we
    suggest for a rival because it is the closest
    university that compares to us.
   It has an enrollment of 14,952 students where
    NKU has an enrollment of 15,748 students.
   It is only 328 miles from NKU campus, so
    traveling for big games would not be much of
    a problem.
   It is located in Johnson, Tennessee which is a
    city comparable to Highland Heights in size
    and population.
   We compete in every sport they compete in.
   We both have excellent academic and athletic
    reputations.
     2008 & 2010 ETSU men's basketball won back to
      back A-Sun Championships
     2010 ETSU men’s soccer won an A-Sun
      Championship
   ETSU student athletes have a over
    cumulative GPA IS 3.21, I have found that
    NKU has had a cumulative GPA of 3.25.
   They also have a rewards program called
    Bucwild. Where you earn points by going to
    athletic events. Just like our Norse Force.
   We are comparable is so many ways but the
    one thing that makes us better is…
                WE ARE NKU!!!
   Measured rivalry by identification and
    involvement
   Need to move people further up the escalator
   Build awareness with NKU athletics
   This is only a suggestion for a rival, we feel
    that a rivalry should happen organically

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NKU SpB 305 - NKU Athletics Rivalry

  • 1. Nicole Gruen, Chris Hatter, Austin Kucera, Jack Marchetti, Brad Noe
  • 2. Involvement  Who’s involved?  Identification  How do they identify?  Creating Rivalry  What makes a rivalry?  Who do we suggest as an in-conference Rival?
  • 3. Convenience Sampling  People who were easy to reach
  • 4. Other Fan 11% 3% Alumni 9% Faculty/Staff Students 18% 59%
  • 5. 50% Percent of Participants 40% 30% 20% 10% 0% 18-22 23-29 30-39 40-49 50-59 60 or above Age of Participants
  • 6. When we asked questions about involvement we wanted to see a few things  How many events were attended by our sample group  What is the best way to reach our sample group to inform them about an event  What factors influenced them to attend an event  What factors influenced them NOT to attend an event
  • 7. 116 out of 208 (55%) of people surveyed have attended at least one event in the past two years  64 out of 106 (60%) of males surveyed have attended at least one event in the past two years  51 out of 102 (50%) of females surveyed have attended at least one event in the past two years
  • 8. 60 50 40 (Percent) 30 Males 20 Females 10 0 0 1-3 4-10 11-19 20+ Games Attended
  • 9.
  • 10. Data we collected reveals most likely method respondents hear about NKU events*:  NKU website (76.7%)  Posting a sign on campus (74.3%)  Word of mouth via Friend (64.3%)  Handing out Schedule Cards (61.4%) * Percentages indicate portion of respondents that chose ‘somewhat likely’, ‘likely’, or ‘very likely’; points 4-6 on six-point scale.
  • 11.
  • 12. The evidence shows that the main factors that influenced a person to attend an event were (checked ‘somewhat influential’ or greater):  Free Ticket (73%)  Fan of the Team (61%)  Invited by friend(59%)
  • 13. 26% Yes No 74%
  • 14.
  • 15. The evidence shows that the main factors that influenced a person to attend an event were (checked ‘somewhat influential’ or greater):  Not a priority for my free time(70%)  Lack of Interest in teams(50%)
  • 16. The main thing is make going to an event worth a person’s time. Not a Priority when spending Free time Frequency Percent Not at all Influential 10 10.6 Hardly any Influence 2 2.1 Moderate Influence 7 7.4 Somewhat Influential 16 17.0 Very Influential 27 28.7 Extremely Influential 32 34.0 Total 94 100.0 *94 is the number of people who have not attend a single event
  • 17. Passing out Schedule Cards Schedule Cards Frequency Percent Very Unlikely 26 27.7 Unlikely 11 11.7 Somewhat Unlikely 9 9.6 Somewhat Likely 19 20.2 Likely 17 18.1 Very Likely 12 12.8 Total 94 100.0 *94 is the number of people who have not attend a single event
  • 18. Posting signs about an event around campus Sign on campus Frequency Percent Very Unlikely 21 22.3 Unlikely 3 3.2 Somewhat Unlikely 6 6.4 Somewhat Likely 13 13.8 Likely 23 24.5 Very Likely 28 29.8 Total 94 100.0 *94 is the number of people who have not attend a single event
  • 19. Fan Identification is explained as how “identified you are with a certain team”.  This can be shown by your involvement with that team such as going to games, or wearing their apparel.  It is also apparent in your language. Referring to a team as “we” is a sign of strong identification. (Basking in Reflective Glory)
  • 20.
  • 21.
  • 22.
  • 23. 202 Respondents to the open-ended question: “IN YOUR OPINION, WHAT DEFINES A RIVALRY?”
  • 24.  History  Geography  Highly Competitive/Parity  Hatred/Strong Dislike  Same Conference  Frequency of Play
  • 25.  Highly Competitive/Parity: 96  Geography: 47  History: 42  Hatred/Strong Dislike: 21  Frequency of Play: 11  Same Conference: 7 *Coded data based on qualitative responses
  • 26.  Highly Competitive + Geography: 22  Highly Competitive + History: 20  Geography + Conference: 5  Geography + Frequency: 5  Highly Competitive + Hatred: 5 *Coded data based on qualitative responses
  • 27. History between NKU and any of their new conference counterparts in the Atlantic Sun?  Atlantic Sun teams in relatively close proximity to Highland Heights?  Will we be competitive in this conference?  Must develop strong fan identification with NKU teams to create passion and strong dislike of potential rivals in the conference
  • 28. East Tennessee State University
  • 29. East Tennessee State University is who we suggest for a rival because it is the closest university that compares to us.  It has an enrollment of 14,952 students where NKU has an enrollment of 15,748 students.  It is only 328 miles from NKU campus, so traveling for big games would not be much of a problem.
  • 30. It is located in Johnson, Tennessee which is a city comparable to Highland Heights in size and population.  We compete in every sport they compete in.  We both have excellent academic and athletic reputations.  2008 & 2010 ETSU men's basketball won back to back A-Sun Championships  2010 ETSU men’s soccer won an A-Sun Championship
  • 31. ETSU student athletes have a over cumulative GPA IS 3.21, I have found that NKU has had a cumulative GPA of 3.25.  They also have a rewards program called Bucwild. Where you earn points by going to athletic events. Just like our Norse Force.  We are comparable is so many ways but the one thing that makes us better is… WE ARE NKU!!!
  • 32. Measured rivalry by identification and involvement  Need to move people further up the escalator  Build awareness with NKU athletics  This is only a suggestion for a rival, we feel that a rivalry should happen organically

Notes de l'éditeur

  1. NKU Website (76.7% Somewhat likely and above)Posting a sign on campus(74.3% Somewhat likely and above)Word of mouth via Friend(64.3% Somewhat likely and aboveHanding out Schedule Cards (61.4% Somewhat likely and above)
  2. Of the 94 people who attended no events 75 people said going to an event was not a priority when spending their free time (80% Somewhat or up)