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AEB 37 / AE 802 Marketing Research Methods Week 5
SPSS Tutorial AEB 37 / AE 802 Marketing Research Methods Week 5
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SPSS You can open an excel file directly from SPSS
SPSS files contain additional information on the variables Download the following file on your network drive: Start SPSS Open the file
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Variable view
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Data view
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Case summaries Analyze / Report / Case summaries
Select target variable(s) Select grouping variable(s) Include additional statistics
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Variable(s) you are interested in
Grouping variables Do not limit/display cases Click here to choose the statistics you need
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Output window
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Categorising variables
Transform/categorize variables Select variable Choose number of categories
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Tables Analyze / Custom Tables / General Tables
Choose variables to be represented Tick summary option Choose summary statistic Choose layer Example: average amount spent for each supermarket by those with and without a car (layer)
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TABLES 1. Select the variable to be measured and summarised 2. Click “Is summarized” + EDIT STATISTICS and select the statistics you want 5. Select columns and layers vars 6. Click OK for output 4. Click here
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Basic statistics and confidence intervals
Analyze / Descriptive Statistics / Explore Choose variables Choose factor(s) Chose level of confidence
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Graphs Graphs / Histogram Graphs / Pie or Graphs / Interactive / Pie
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Correlations Analyze / Correlate / Bivariate Choose variables
Check / edit output Example: relation between income, monthly amount spent and age
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Principal components analysis
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Principal components analysis: basic steps
Select the variables to perform the analysis Set the rule to extract principal components Give instruction to save the principal components as new variables Examine output
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Analyze /Data reduction
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Select the variables Press here Select here
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Define extraction method
2. Select Correlation matrix 3. Extraction technique 1. Click here first Extraction rule
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Save components score 1. Click here first Tick this box
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Run the analysis
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Output(1) Communalities
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Components interpretation
Output (2) Components interpretation
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