Explain all the different types of field techniques we used when collecting data from the shopping centres we visited.

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Tom Osborne 10.1

Chapter Two: Method

Introduction

The aim of this chapter is to explain all the different types of field techniques we used when collecting data from the shopping centres we visited. I will explain why I used these and how I went about using them. This includes Primary data which I collected from the field visits and Secondary data that was given to me.

Primary Data

  1. Questionnaires

A questionnaire is a set of questions asked to a number of shoppers that give information on the questions asked. I designed my questionnaire by thinking of questions that would answer my hypotheses and find out about people’s shopping habits. I used seven questions to complete it. Two were to learn a little about the person, including age and sex. Then I used five other questions to directly answer my hypotheses.  

        The results for Reading town were already given to us so we didn’t go to Reading. We went to Pangbourne on Wednesday 14th May at about 9:45am - 11:30am. We went to the Tilehurst Triangle on Thursday29th May at about 11:00am to 12:30am. We went at theses times because they were most convenient for us. In Pangbourne we asked 20 people in random selected places. We asked 20 people because we needed a reasonably representative sample which will mean our results will be nearer to the truth than asking ten questions and we asked them in random places to make the test fairer. We did the same for Tilehurst.

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        In our random sample we asked a range of people in a different range of places. This was because we thought it would be a fairer sample as we would get a range of different ages, wealth and gender. We mainly asked older people ranging from 30-70 but did ask some younger people as well. This was because we went on a working day and it was mostly pensioners that were shopping with just a few younger people. After the sample study we did not have to change our sample questionnaire.

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