Assumed knowledge
Descriptive & Graphical Exercise Using SPSS
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Open qfsall.sav (collected using the
Quick Fun Survey (html)) and conduct the
univariate and bivariate descriptive and graphical analyses outlined
below.
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Hint: If you have no idea where to start, you can download the syntax
file (Descriptives.sps) and run it - or
go straight to the output file (Descriptives.spo).
You can learn by following through each analysis in the syntax and
output. You should develop a sufficient understanding of
univariate and bivariate descriptives, graphs, and SPSS to be able to
produce this kind of output for each question from scratch.)
Univariate
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Determine the level of measurement and obtain appropriate univariate descriptives
and graphs to depict the nature of responses to each of the following variables:
- a8 (What is your favourite season?)
- b2 (Do you snore?)
- b4 (Do you believe in God?)
- b9 (At what age do you think you will die?)
- b13 (Femininity-Masculinity)
- Statistically, you may consider using:
- frequency / % / mode
- median
- mean, SD, skewness, kurtosis
- Graphically, you may consider using:
- bar graph
- pie chart
- stem and leaf plot
- boxplot
- histogram
- line graph
- error bar
Bivariate
-
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.)
- a1 (Gender) and a4 (Favourite colour)
(nominal by nominal)
- crosstabs
- clustered bar graph
- b10 (Psychology student status) and b7 (Exercise)
(nominal by ratio)
- means table
- bar graph (means)
- b14 (Physical health) and b15 (Mental health)
(interval by interval)
- correlation
- scatterplot - edit by going into chart editor,
double-clicking on a data point and changing to bins to
represent multiple data points.
- b7 (Exercise) and b9 (At what age do you think you will die?)
(ratio by ratio)
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