How to use SPSS/Descriptives/Advanced

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Descriptive & Graphical Exercise Using SPSS[edit | edit source]

  • Assumed knowledge: Allen and Bennett Chapter 3: Summarising and displaying data (pp. 19-32)
  • Download and open the datafile qfsall.sav (collected using the Quick Fun Survey (html))
  • Conduct the univariate and bivariate descriptive and graphical analyses outlined below.
  • You can also download demonstration syntax and output files:

Univariate[edit | edit source]

Determine the level of measurement and obtain appropriate univariate descriptives and graphs to depict the nature of responses to each of the following variables:

  1. a8 (What is your favourite season?)
  2. b2 (Do you snore?)
  3. b4 (Do you believe in God?)
  4. b9 (At what age do you think you will die?)
  5. b13 (Femininity-Masculinity)

Statistically, you may consider using:

  1. frequency / % / mode
  2. median
  3. mean, SD, skewness, kurtosis

Graphically, you may consider using:

  1. bar graph
  2. pie chart
  3. stem and leaf plot
  4. boxplot
  5. histogram
  6. line graph
  7. error bar

Bivariate[edit | edit source]

Determine the level of measurement and examine bivariate distributions for the following relationships:
(Note that unless you are an experienced statistician you probably should conduct univariate descriptives and graphs for each variable before using them in bivariate and multivariate analyses.)

  1. a1 (Gender) and a4 (Favourite colour)
    (nominal by nominal)
    1. crosstabs
    2. clustered bar graph
  2. b10 (Psychology student status) and b7 (Exercise)
    (nominal by ratio)
    1. means table
    2. bar graph (means)
  3. b14 (Physical health) and b15 (Mental health)
    (interval by interval)
    1. correlation
    2. scatterplot - edit by going into chart editor, double-clicking on a data point and changing to bins to represent multiple data points.
    3. b7 (Exercise) and b9 (At what age do you think you will die?)
      (ratio by ratio)
    4. correlation
    5. scatterplot