Walsall FC Supporters Survey
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Transcript of Walsall FC Supporters Survey
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Walsall FC Supporters Survey
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Walsall FC
Supporters Survey
2011/2012
Conducted and analysed by Darren Rhodes
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Contents
1. The first section will deal with demographic data (age/gender).
2. Then we move on to home attendance and factors underlying support for Walsall FC.3. The next section looks at why people come to games, and conversely why they do not come to games.
4. We will then look at perceptions from the club from a pricing point of view.
5. We then move on to a principal component analysis and correlation analysis telling us about the relationship
between questions (variables) within this survey.
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Methodology
The following survey adopted an online survey methodology, inviting supporters from various social networking sites and
upthesaddlers.com to complete a brief 22 item questionnaire.
The questions chosen were adapted from the official football league survey but also tailored to meet the current social perceptions of
Walsall F.C. The questions were not biased or leading: all responses were equally weighted with positive or negative answers.
This survey (n = 216) actually achieved more responses than the official football league survey (n = 169). Data was reduced to 196 due to
individuals not filling out 80% of the questionnaire.
Nominal/Categorical Data & Demographics
0
5
10
15
20
25
Under 16 16-24 25-34 35-44 45-54 55-64 Over 65
Percenta
ge(%)
Age Group
Age of Respondents
0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
90.00
100.00
Male Female
Percenta
ge(%)
Gender
Gender Response
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0
10
20
30
40
50
60
70
80
0 Games 1-5 Games 6-10 Games 11-15Games 16-20Games 21-23Games
Frequency
0
20
40
60
80
100
120
140
0 - 20 Miles 20-40 Miles 40-80 Miles 80-100 Miles 100+ Miles
Frequency
Attendance
The following two questions examined how often people attended matches and how individuals travel when they do..
How many Home games do you attend per season? How far do you travel to each home game?
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0
20
40
60
80
100
120
No Response Cheaper than separate
tickets
Gives priority access for
cup matches
Guarantees me a ticket
for every match
It enables me to sit in
the same seat
To demonstrate loyalty
to the club
Frequency
Reasons for going or not going to games
What is the main factor for you purchasing a season ticket?
It appears that there is no central reason that suggests why people purchase season tickets, but given the spread of the data it can be asserted that
individuals personal situation gives rise to why they purchase a season ticket.
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0
10
20
30
40
50
60
70
80
90
Excellent Value for Money Good Value for Money Fair Value for Money Poor Value for Money Very Poor Value for Money
F
requency
In terms of price, do you consider Walsall FC to offer a match- day product that is?
The data here show a lovely normal (Gaussian) distribution in response to the above question. This again suggests that people do in general think that
the price of the match-day product is fair but this could actually be improved (but it is also not too bad).
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0
2
4
6
8
10
12
14
16
18
Can't go to every
game
Don't want to go to
every game
Family
commitments
I don't feel
appreciated by theclub
Jeff Bonser Poor on-pitch
performance
The club and the
'rent' situation
The poor
relationshipbetween
supporters and
club
Too expensive
Frequency
Why do you not go to games anymore? Why do you not purchase a ticket?
There appears to be a trend of reasons (highlighted in yellow) towards the chairman and fan-board relations that account for most of the variability for why
people are not attending Walsall FC games anymore.
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0
10
20
30
40
50
60
No Response Economic Recession No idea or opinion People have become
disinterested with the
club
People have stayed
away due to Jeff Bonser
Poor on-pitch
performance
Frequency
If you attend games why do you think people are not attending?
This graph shows that perceptions of people who attend games believe that the reason why people are not attending is due to poor on-pitch, disinterest with
the club and the chairman. The club should stop using the economic recession as a reason why people are not attending as it seems this is not the case.
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0
10
20
30
40
50
60
70
80
No Response Non-attending
supporter
Not involved in any
way described
Occasional match
attender (1-10 gamesper season)
Professional
involvement with theclub
Regular match
attender (10 plusgames per season)
Season ticket holder
Frequency
Which of the following describes your match day involvement with Walsall FC?
This graph further demonstrates that many of the respondents to this survey are season ticket holders or regular match attendees.
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0
10
20
30
40
50
60
70
Strongly Agree Agree Neither agree or disagree Disagree Strongly Disagree
Frequency
How much do you agree that Walsall FC plays an important role in your familys life?
There is a trend here to suggest that people generally agree that Walsall FC plays an important role in the family life of some individuals, but it is also
interesting that others disagree (but not as much).
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10
20
30
40
50
60
1 - Extremely
devalued
2 3 4 5 - No opinion 6 7 8 9 10 - Extremely
valued
Frequency
As a supporter, how valued do you feel your opinion is to the board of the football club? On a scale of 1 -
10:1 represents extremely devalued. 10 represents extremely valued.
This histogram clearly shows a massively skewed negative distribution with a huge percentage of people believing that their opinion is not valued at all by the
Walsall FC board.
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0
10
20
30
40
50
60
70
1 - Very poor 2 3 4 5 - No opinion 6 7 8 9 10 - Very
Good
Freq
uency
How would you describe the relationship between board of Walsall FC and the supporters?
Again, confirming the results of the above histogram; there is a massively skewed negative distribution showing that supporters say that the relationship
between the board of Walsall FC is very poor. This must be addressed.
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0
10
20
30
40
50
60
70
80
No Response Club communicates
well but doesn't usemy action
Club communicates
well to supportersand uses ideas
generated from my
actions
Club has outstanding
club-supporterrelationship.
Listened to but my
action's seemdevalued or ignored
No involvement at
all - very poorrelationship
between club-
supporter
No real opinion
Frequency
As a supporter how involved do you feel with how the football club is run?
This graph shows a spread of results that again show that people think that the relationship between the club and the supporter on the street is poor and not
good enough (highlighted in yellow).
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0
10
20
30
40
50
60
70
80
Strongly Agree Agree Neutral Disagree Strongly Disagree
Frequency
Do you think Fans Focus meetings are important and should continue more often than they do presently?
This histogram shows that people overwhelmingly agree that more fans focus meetings should take place more often than they do now. The last one was in
July of last year. That is far too long and this needs to be addressed in order to strengthen club-fan bonds (as shown in the results of this survey).
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10
20
30
40
50
60
70
80
90
100
Strongly Agree Agree Neutral Disagree Strongly Disagree
Frequency
In your own experience and opinion, how much do you agree with the statement: The Chairman of Walsall
FC values my support
Here we have a question that indicates that many people think that the chairman of the football club does not value the support of Walsall supporters.
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0
10
20
30
40
50
60
70
80
90
100
Vastly Overachieving Achieving more than
expected
Achieving as expected Underachieving more than
expected
Vastly underachieving
Frequency
How would you describe the current performance of Walsall FC in League One?
This histogram shows that supporters generally think the team is doing ok or underachieving. The football club should be trying to better itself each season
and at current the club seems to be going backwards or stagnating which is shown in these results.
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0
10
20
30
40
50
60
70
80
90
100
Extremely good Good No real opinion Poor Very poor
Fr
equency
How would you describe the match day atmosphere at Walsall FC?
These results show a negative trend to the view that the match day atmosphere at Walsall FC is not good enough and needs completely addressing,
refreshing and improving.
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10
20
30
40
50
60
70
80
Very good Good No opinion Poor Very Poor
Frequency
How would you describe the match day package at Walsall FC? Including team, stewarding, match day
announcer, food available etc
This graph shows a general central distribution of results, indicating that peoples personal perceptions of the match day pa ckage of the situation probably
manifest in a whole host of reasons why individuals think the package is good or poor.
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Individual differences and component analyses
The following section is a correlation analysis of all independent variables in the above study. A single star (*) indicates a significant correlation at .05
significance level, and two stars (**) an extremely significant correlation at .01 in a two tailed analyses.
I conducted a principal component analysis, using eigenvalues over 1 in order to discover how many components in the data set could be grouped together
in order to explain most of the data. The 13 components here reflect 13 questions that were scaled in data (non-categorical) and therefore could be used in
the described analyses. The initial 13 components are basically 13 questions and are described briefly in the second table. Please get in touch with me if you
wish to know more about this process and the variables.
The Analysis produced the following principal component extraction:
Total Variance Explained
ExtractionMethod:PrincipalComponentAnalysis.
So therefore, we can see that there are 5 components within the data that account for most of the data.
Component
Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.282 25.250 25.250 3.282 25.250 25.250 2.685 20.656 20.6562 1.734 13.337 38.587 1.734 13.337 38.587 1.847 14.204 34.860
3 1.254 9.646 48.233 1.254 9.646 48.233 1.483 11.411 46.271
4 1.172 9.014 57.247 1.172 9.014 57.247 1.295 9.961 56.232
5 1.056 8.121 65.368 1.056 8.121 65.368 1.188 9.136 65.368
6 .839 6.452 71.820
7 .719 5.527 77.348
8 .663 5.101 82.449
9 .590 4.539 86.988
10 .529 4.068 91.056
11 .418 3.215 94.271
12 .401 3.084 97.35413 .344 2.646 100.000
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This next matrix shows the correlations between all of the variables in relation to a component:
Component Matrix(a)
Component
1 2 3 4 5
Homegames .478 .636 -.134 .196 -.088
TravelDistance1 -.052 -.547 .150 -.282 .599
AwayGames .381 .489 .024 .168 .572
WFCFamilylife -.381 -.476 .275 .456 -.124
CustomerValuation1 .778 -.037 .153 .047 -.097
RelationshipBoardfans1 .735 -.164 .284 .128 -.018
PricePerception1 -.653 -.113 .251 .161 -.110
FanInvolvement1 .662 -.068 .382 -.059 -.238
FansFocus1 .116 -.222 -.261 .732 .381ChairValuesSupport1 -.582 .426 -.029 -.267 .215
TeamPerformLeagueOne1.010 .172 .750 -.138 .256
Atmosphere1 -.384 .414 .403 .321 -.027
MatchDayPackage1 -.501 .294 .177 .201 -.102
Extraction Method: Principal Component Analysis.a 5 components extracted.
So the next step is a bit intuitive but the aim of the game is to look at which variables correlate with which component in order to see what the component
means.
It can be suggested component 1 (which account for most of the data) correlates highly with (1) how fans feel they are involved with the club, (2) the
perception of how fair the match day price is, (3) the match day package, (4) how the chairman values support but also hugely with how (5) the relationship
between the board and the supporters and (6) how valued the opinion of a supporter is to the board. The last two correlate hugely (.778 and .735) but
importantly correlate with no other component which suggests that the first factor is the RELATIONSHIP BETWEEN THE CLUB AND THE SUPPORTERS. So
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this suggests that the number one reason for discontent or the factor which plays most part in the response of supporters to questions in the survey is the
degree to which an individual feels the bond is between the board and the fan on the street.
Significant correlations
The following is a matrix of correlations. * = significant at .05 level, ** = significant at .01 level.
Correlations
Homegames
TravelDistance1
AwayGame
sWFCFamilylife
CustomerValuation1
RelationshipBoardfans1
PricePerception1
FanInvolvement1
FansFocus1
ChairValuesSupport1
TeamPerformLeagueOne1
Atmosphere1
MatchDayPackage1
Homegames PearsonCorrelation
1 -.358(**).378(**
)-
.268(**).280(**) .187(*) -.356(**) .196(**) .016 -.119 .042 .060 -.067
Sig.(2-tailed)
.000 .000 .000 .000 .011 .000 .008 .833 .107 .573 .421 .370
N 196 190 196 185 185 185 186 185 182 185 185 183 184
TravelDistance1
PearsonCorrelation
-.358(**
)1 -.002 .068 .017 .070 .009 .013 .025 -.078 .036
-.148(*)
-.105
Sig.(2-tailed)
.000 .975 .366 .818 .352 .907 .864 .743 .298 .634 .048 .164
N190 190 190 180 180 180 184 180 177 180 180 178 179AwayGames Pears
onCorrelation
.378(**)
-.002 1-
.271(**).207(**) .182(*) -.237(**) .131 .101 .021 .060 .077 -.097
Sig.(2-tailed
.000 .975 .000 .005 .013 .001 .077 .175 .773 .416 .302 .192
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)
N 196 190 196 185 185 185 186 185 182 185 185 183 184
WFCFamilylife PearsonCorrelation
-.268(**
).068
-.271(**
)1 -.240(**) -.137 .339(**) -.138 .153(*) -.070 .059 .087 .123
Sig.(2-tailed)
.000 .366 .000 .001 .064 .000 .061 .039 .344 .424 .240 .095
N 185 180 185 185 185 185 177 185 182 185 185 183 184
CustomerValuation1
PearsonCorrelation
.280(**)
.017.207(**
)-
.240(**)1 .633(**) -.366(**) .497(**) .052 -.414(**) .024
-.231(**
)-.298(**)
Sig.(2-tailed)
.000 .818 .005 .001 .000 .000 .000 .483 .000 .744 .002 .000
N 185 180 185 185 185 185 177 185 182 185 185 183 184
RelationshipBoardfans1
PearsonCorrelation
.187(*) .070 .182(*) -.137 .633(**) 1 -.255(**) .518(**) .128 -.415(**) .100-
.220(**)
-.267(**)
Sig.(2-tailed)
.011 .352 .013 .064 .000 .001 .000 .084 .000 .174 .003 .000
N 185 180 185 185 185 185 177 185 182 185 185 183 184
PricePerception1
PearsonCorrelation
-.356(**
).009
-.237(**
).339(**) -.366(**) -.255(**) 1 -.312(**) -.041 .316(**) .018
.250(**)
.300(**)
Sig.
(2-tailed)
.000 .907 .001 .000 .000 .001 .000 .594 .000 .816 .001 .000
N 186 184 186 177 177 177 186 177 174 177 177 176 177
FanInvolvement1
PearsonCorre
.196(**)
.013 .131 -.138 .497(**) .518(**) -.312(**) 1 -.036 -.384(**) .127-
.157(*)-.258(**)
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lation
Sig.(2-tailed)
.008 .864 .077 .061 .000 .000 .000 .629 .000 .085 .034 .000
N 185 180 185 185 185 185 177 185 182 185 185 183 184
FansFocus1 PearsonCorrelation
.016 .025 .101 .153(*) .052 .128 -.041 -.036 1 -.172(*) -.115 -.069 -.055
Sig.(2-tailed)
.833 .743 .175 .039 .483 .084 .594 .629 .020 .122 .358 .458
N 182 177 182 182 182 182 174 182 182 182 182 180 181
ChairValuesSupport1
PearsonCorrelation
-.119 -.078 .021 -.070 -.414(**) -.415(**) .316(**) -.384(**)-
.172(*)1 .078
.200(**)
.288(**)
Sig.(2-tailed)
.107 .298 .773 .344 .000 .000 .000 .000 .020 .292 .007 .000
N 185 180 185 185 185 185 177 185 182 185 185 183 184
TeamPerformLeagueOne1
PearsonCorrelation
.042 .036 .060 .059 .024 .100 .018 .127 -.115 .078 1 .142 .017
Sig.(2-tailed)
.573 .634 .416 .424 .744 .174 .816 .085 .122 .292 .055 .818
N 185 180 185 185 185 185 177 185 182 185 185 183 184
Atmosphere1 Pears
onCorrelation
.060 -.148(*) .077 .087 -.231(**) -.220(**) .250(**) -.157(*) -.069 .200(**) .142 1 .328(**)
Sig.(2-tailed)
.421 .048 .302 .240 .002 .003 .001 .034 .358 .007 .055 .000
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N 183 178 183 183 183 183 176 183 180 183 183 183 183
MatchDayPackage1
PearsonCorrelation
-.067 -.105 -.097 .123 -.298(**) -.267(**) .300(**) -.258(**) -.055 .288(**) .017.328(**
)1
Sig.(2-
tailed)
.370 .164 .192 .095 .000 .000 .000 .000 .458 .000 .818 .000
N 184 179 184 184 184 184 177 184 181 184 184 183 184
** Correlation is significant at the 0.01 level (2-tailed).* Correlation is significant at the 0.05 level (2-tailed).
N.B. What has not been mentioned before is that the teams current performance in league correlates with NO other variable indicating that this question
has no relationship with why people are not attending games.
There is a multitude of significant correlations in the above table; I think it is important for not one person to discuss these results (including the whole of
the document) as statistics is all about interpretation. Some of the results are extremely transparent and show a real need to improve certain things at the
club. But, I believe discussion and communication is very important.
We are all Walsall supporters at the end of the day, and we should pull together in times like this. It is clear that something needs addressing. It is now up to
the club and supporters to understand why people are frustrated and work together to achieve a better Walsall FC.
If you wish to get in touch with myself (Darren) about any aspects of the study or if you require more information please contact me on the following
email address:[email protected]
Thank you for all of the people who took the time to fill in this survey. This could not be done without you. I hope everyone involved with Walsall FC realises
that is also true if we want to make a progressive and positive Walsall FC. We need to understand each other but most importantly talk.
Up the saddlers!
mailto:[email protected]:[email protected]:[email protected]:[email protected]