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Integrative Studies 1 Plenary - Week 9 Analysis of questionnaire data using a spreadsheet Large scale studies - data collection and analysis

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Analysis of data using a spreadsheet Code data Summarise individual variables Cross-tabulate variables Identify key relationships and test significance (using Chi-square test) Design presentations

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More Complex Analyses Multivariate analysis - e.g. cluster analysis - look to identify more complex patterns in the data Data mining methods are used to “browse” large data sets looking for patterns –(e.g. beer and nappies) This requires more sophisticated analytical tools

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Questionnaire 1. How old are you? Under 18 ( 1) 18 - 25 ( 2) Over 25 (3 ) 2. Would you be interested in motorbike racing with instruction from Carl Fogarty at Britain's racing venues? Yes ( 1) No (0 ) 3. How long would you wish to go for? 1 day ( 1) 2-3 days (2 ) 4+ days ( 3) 4. Which of the following locations would you be interested in visiting? (Please tick your top 3) Knockhill ( 1) (0 if not selected) Brands Hatch ( 1) (0 if not selected) Glasgow to Glencoe ( 1) (0 if not selected) Donnington Park ( 1) (0 if not selected Isle of Man ( 1) (0 if not selected) Pig and Whistle ( 1) (0 if not selected) 5. Willing to pay : More than £400 (4) £300 - £400 max (3) £200 - £300 max (2) Less than £200 (1) 8. Would you commit to this holiday within 2 years? Yes ( 1) No (0 ) 9. How much, on average, do you spend on your holiday? Number of pounds______

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Coded Data IDAgeInterestLengthKnockBHGG 1111101.. 2212110.. 3209999.. 4313010.. 5112010.. DPIoMP&WWTPCommSpend.00110250.1001033.99999300.11031575.11040600

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Tabulation of “Age”

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Tabulation of “Interest” Created using PivotTable

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Crosstabulation - Age x Interest

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Testing for Relationships Using the Chi-Square Test Create crosstabulation of the variables of interest (e.g. age x interest) Use this to create a 2nd table of “ExpectedValues” Use the Chi-Square statistical test to determine the significance of the difference between the actual and the expected values If the value of the Chi-Square statistic is less than 0.05 (5%) there can be said to be a significant difference

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Determining Expected Values

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CHI-SQUARE TEST Use the statistical function - CHITEST Specify cell range of actual values Specify cell range of expected values Excel will calculate the Chi- Square statistic For our example it is 0.093 So significant at 10% level, but not 5%

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Data Displays

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