2 way between groups of ANOVA
ANCOVA
a statistical method of introducing random assignments when it was not possible to do so at the design stage
Dependent Variable (DV)
The outcome or variable of interest that you want to compare across different groups.
Independent Variable (IV)
The categorical variable that defines the groups being compared.
2 grps- Pearsons correlation
3+ grps- ANOVA
categorical variables
2 types:
nominal variables( e.g. male or female)
ordinal variables(e.g. poor, good, excellent)
conduct correlation biviarate analysis
conduct one way between groups ANOVA
correlation analysis
nature of relationship that exist between 2 variables
regression analysis
a special case of correlation analysis which is used for the purposes of prediction.
multiple regression analysis
whether a particular predictor variable is still able to predict an outcome, when the effects of another variable are controlled for/ used to investigate the relationship of multiple predictors with one continuous outcome variable
binary logic’s regression
used when the categorical criterion variable has 2 levels eg. smoker vs non smoker
multinomial logistic regression
used when the categorical criterion variable has 3 or more levels e.g. mild/ moderate/ severe depression
t tests
compare the mean values on some continuous variable for 2 groups or 2 occasions
independent t tests
compare the mean scores of 2 different groups
paired t tests
compares the mean scores of 2 different groups of people on 2 different occasions or conditions
conduct an independent t test
conduct a paired t test
ANOVA
tells us the difference between the variances of the groups e.g. comparing fitness levels between amateur, semi professional, professional
one way between groups ANOVA in spss- write up
one way between groups ANOVA was conducted to determine if there were differences in levels of… scores/ participants were divided into groups according to…./ there was no significant difference in levels of…..scores for the groups, f (…)=…, p=…./ effect size (eta squared= …)/ post hoc comparisons using turkey HSD test indicated that the mean scores…(m=….,sd=….)
correlation bivariate in spss- write up
check sig(2 - tailed) = p value if p<0.05 is means it is statistically significant/ check r-value/ positive or negative direction/ large strength( 0.5-1), small strength(0.10-0.28)
one way between groups ANOVA in spss- write up(short)
test of homogeneity of variance- if less than 0.05 f/sig
ANOVA table- also if less than 0.05
effect size- 0.01 small effect/ 0.06 medium effect/ 0.14 large effect