SPSS Notes Flashcards
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frequency tables
analyse > descriptive statistics > frequencies > move variable into box > OK
bar charts
graphs > bar > define > move variables into category axis box > OK
histograms
graphs > histogram > move variable into “variable box” > OK
alter number of bins
double click graph > chart editor view opens > double click bars > properties > scale > select binning tab > custom > modify values > OK
alter y-axis to %
double click graph > chart editor opens > double click “frequency” > properties > variables tab 1 > percent box > select y-axis > OK
boxplots
analyse > descriptive stats > explore > move variable into “dependent list” > plots > select options in “box-plot” > OK
stem and leaf table
analyse > descriptive stats > explore > move variable into “dependent list” > select “stem and leaf” > OK
line graph
graphs > chart builder > select “line” > bring graph to chart preview > bring variable to x-axis box > OK
compare groups
data > split file > compare groups > bring variable to “groups based on” box > OK
cross tabs
analyse > descriptive stats > crosstabs > bring variables to the “Rows” box > bring variables to “Columns” box > choose “Stats” > edit “Cells” & “Format” > OK
mean, mode, median
analysis > descriptive stats > frequencies > check mean, mode, median > OK
variance, standard deviation, range
analysis > descriptive stats > freq > stats > check variance, standard deviation, range > OK
skewness and kurtoiss
analysis > descriptive stats > freq > check skewness & kurtoiss > OK
z- scores (how many standard deviations you are away from the mean)
analyse > descriptive stats > descriptive > bring variable to “variable box” > click “Save standardised values as variable” > OK
percentile
analyse > descriptive stats > freq > bring variable to variable box > stats > percentiles > choose value
confidence interval
analyse > descriptive stats > explore > bring variable to “Variable box” > stats > choose CI > OK
quartiles
analyse > descriptive stats > freq > bring variable to variable box > stats > quartiles
one sample t-test
analyse > compare means > one sample t-test > bring variable to “Variable box” > guess the mean in “Test value” box > options > choose CI > OK
independent samples t-test
analyse > compare means > independent sample t-test > choose “Test variable” > define “Grouping variable” (dependent variable) > define group (group being used)
paired t-test
analyse > compare means > paired-samples t-test > select variables > OK
one-way ANOVA
analyse > compare means > one-way ANOVA > choose “dependent” variable > define “factor” (categorical variable) > options > select “homogeneity of variance test” > select “Means plot” > continue > OK
two-way ANOVA
analyse > general linear model univariate > bring the continuous variable to dependent variable box > assign 2 categorical variables to fixed factor box > OK
scatter plots
graphs > legacy dialogs > scatter/dot > click Simple Scatter > define > move variables to Y & X boxes > OK
pearson’s correlation coefficient
analyse > correlate > bivariate > select Pearson correlation coeff > select 2-tailed test of significance > select flag significant correlations > OK
simple linear regression
analyse > regression > linear > select dependent & independent variables > OK
chi-squared
analyse > descriptive stats > crosstabs