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Thursday, 4 November 2010

Research - Initial Demographic

To begin the assignment we (as a group of over 9) sat and discussed the assignment. We had been tasked with creating two Radio shows each an hour long, 1 for a morning slot and the other for the afternoon. We came to the conclusion that it would be most efficient for us to split our cumbersome group in half and work mainly on our designated show, collaborating between groups where necessary. This meant that our group as a whole would still be creating 2 radio shows as the brief states, whilst avoiding the hassle that can come with overly large groups working on a ingle project.

I was placed in a group with Rob Chamberlain, Matt Bird and Matt Bragg. Our slot was the morning show.

To Begin our research we felt it was necessary to find out what type of people will already be able to listen to internet radio at our given time slot.

We decided for initial demographic research we would find a target age and gender then host a number of focus groups consisting of our chosen age and gender group. At these focus groups we will ask people to fill in another questionnaire with further demographic and psycho-demographic questions.

To find the results featured bellow we each asked a number of people 3 questions: their age, gender and whether they would be able to listen to internet radio is some way between the hours of 8am and 12.

Between us we asked a total of 217 people.

These results show the ages and genders of people that would be able to listen to internet radio in the given time bracket.

The gender results came to be almost Identical, standing at 98 males and 101 females. This tells us that unlike Chris Moyles show we must present our show equally to both genders.

The age Chart featured bellow is a clear representation that the most common ages able to listen at the give times are between 16 and 19 years of age.




We realised that if we only asked the questions is college we would not give certain age groups a chance in a research (rendering it unfair and less useful). Because of this we took the questionnaires home and each did our best to ask a diverse range of ages.

If we were to do this research again, but, for real in the industry we would increase our small sample figures to thousands in order to get a more accurate result. I would also have liked to ask equal amounts of people per age and gender. However if we were to do so the results could be (arguably) less relevant as that would no longer reflect the available audience as accurately. Perhaps the best way to ask the questions would be to find a place where a diverse range of people visited then ask them all, this way it would (to some extent) account for the varying sizes of age groups and gender within the entire population.

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