SPSS tests Flashcards
Compute independent t-test
Analyse > compare means > independent samples t-test
Compute paired samples t-tes
Analyse > compare means > paired samples t-test
Compute mann whitney test
Create two variables and define grouping variable
Analyse> non parametric tests > legacy dialogs> 2 independent samples
Compute median
Calculate effect size
Compute wilcoxon
Define two variables and enter the data
Analyse> non parametric tests > legacy dialogs > 2 related samples
Compute median
Calculate effect size
Compute one way ANOVA
Analyse> general linear model > univariate
Options> descriptive statistics and homogneity tests
Post hoc> tick bonferroni or LSD
Calculate effect size
Compute repeated measures ANOVA
Data one row per participant
Analyse> general linear model> repeated measures
Move each level of IV to within subjects variables
Options> descriptive statistics
Post hoc> paired samples t-test (move each variable until all comparisons are made)
Calculate effect size
Compute independent factorial ANOVA
Data entered in 3 coloumns: One for each IV, one for DV
Analyse> general linear model > univariate
Options> descriptive statistics and homogenity tests
Calculate effect size
Conduct simple effects analyses: independent t-test and bonferroni
Data> select cases> select if condition is satisfied
Compute repeated measures factorial ANOVA
Analyse> general linear model> repeated measures
Options> descriptive statistics and estimates of effect size
EM means> display means for IVs (not interaction)
Plots> add 2 plots vice versa> line chart
Simple effects: paired samples t-test and bonferroni> add every possible pair
Compute mixed model factorial ANOVA
Analyse> general linear model> repeated measures
Options> move IVs under display means (not interaction)
Tick descriptive statistics, homogeneity tests and estimates of effect size
Simple effects: select cases> select if condition is satisfied
Compute paired samples t-test
Data> select cases> select all cases
Compute independent t-test
Bonferroni correction
Compute Friedmans ANOVA
Analyse> non parametric > legacy dialogs> k related samples
Tick friedmans
Post hoc: wilcoxon and bomferroni correction
Compute medians
Calculate effect size
Compute kruskal wallis test
Analyse> non parametric tests> legacy dialogs> k independent samples
Post hoc: compute mann whitney with bonferroni correction
Compute effect size
Compute medians: data> split file> organise output by groups> move IV under groups based on> tick sort file by grouping variable
Compute Pearsons
Analyse> correlate> bivariate
Tick pearson, two tailed and flag significant correlations
Square r
Calculate df by hand
Compute partial correlation
Analyse> correlate> Partial
Tick two tailed and display actual significance level
Square partial correlation to get effect size
Compute spearmans rho
Analyse> correlate> bivariate
Tick spearman> tick two tailed> tick flag significant correlations
Compute kendalls tau
Analyse> correlate> bivariate
Tick kendall t> tick two tailed> tick flag significant correlations