PSY248 Study Guide - Final Guide: General Linear Model, Univariate, Analysis Of Variance
2 Jun 2018
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SPSS SYNTAX:
Looking at data:
frequencies variables=all/ statistics.
Then run descriptive stats/frequency distributions on variables:
frequencies variables = dv to iv/ statistics
Independent Samples T-Test:
• Analyse → General Linear Model → Univariate
glm dv by iv
/ print = descriptive.
Paired T-Test:
• Analyse → General Linear Model → Repeated Measured
glm pre post
/print=descriptive
/wsfactor time 2.
• Pre post = variable names
• Wsfactor time 2 = within subjects factors and how many levels it has
Graphical and Numerical Summaries:
• Analyse → Descriptive Statistics → Frequencies
Frequencies
Variables=write your variables here e.g. ‘age’
/Format=notable
/Statistics=stddev variance range minimum maximum mean median mode skewness
seskew kurtosis sekurt
/histogram normal
/order = analysis
Bivariate:
Graphs → Scatter → Simple → Define
Graph
/scatterplot(bivar)=iv with dv (e.g. age WITH shtot)
/missing=listwise
Correlations:
Analyse → Correlate → Bivariate
Correlations
/vairables=dv iv
/print=twotail nosig
/missing=pairwise
Regressions:
regression
/missing listwise
/statistics coeff outs r anova
/criteria=pin(.05) pout (.10)
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