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(chi square (Q result that will be reported (frequency, chi square (x2):…

- - - - ● Smaller chi-square test statistic → better fit
      - ● Larger chi-square test statistic → worse fit
- - - - kinds
        
        two sample t-test
        
        dependent t-test
        
        why it is done?
        
        to asses whether the mean difference between the paired/matched observation is significantly different from zero
        
        it sometime refers to matched-pairs/ paired samples t-test
        
        quantitative result that will be reported
        
        sd
        
        t-value
        
        mean
        
        p-value
        
        cohens'd (effect size)
        
        confidence interval
        
        independent t-test
        
        an inferential statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups
        
        to analyse simple experiments or when making simple comparison between (2?) levels of your independent variable
        
        Q result that will be reported
        
        mean
        
        sd
        
        t-value
        
        p-value
        
        cohens'd
        
        one sample t-test
- - - - def
        
        it is an omnibus test which is used to examine whether significant differences exist between two or more means when the same subjects have been measured under all levels of the independent variable.
        
        it is a term which refers to the same group of people participating in all conditions of an experiment
      - one way repeated measures in anova
      - when is it done?
        
        when participants are measure d multiple times to see the result of an intervention
        
        when participants are subject to more than one condition and the response to each of these conditions needs to be compared
      - Q result that will be reported
        
        f ratio
        
        p value
        
        sd
        
        eta square or partial eta square (effect size)
        
        mean
        
        p value in post hoc comparison (pairwise comparison)
    - - def
        
        the extension of the between groups t-test to the situation in which more than two groups are compared simultaneously, whether there are any statistically significant differences between the means of more than two independent groups.
      - why between anova?
        
        T-test is limited to situations where there are only two levels of one single independent variable or two associated groups.
        There are many instances where we would like to compare more than two levels
      - Q result that will be reported
        
        sd
        
        f ratio
        
        mean
        
        p value
        
        eta square or partial eta square (effect size)
        
        p value in post hoc comparison (pairwise comparison)