Descriptive Statistics

Initially present your descriptive statistics (means and standard deviations)– these are usually presented in table format
If you are using them as variables… you need to present gender and parents divorced as frequencies (because they are categorical variables)

Also describe your table e.g., most participants reported a warm parenting style, followed by a perceived inconsistent style and fewest participants perceived a cold parenting style….

Then go on to correlation analysis…
Present the correlational variables that you are using for your DVs and IVs
It is easier for you if you enter the dependent variables into the correlation table first (so you can see the significance with other variables quickly and easily)
For the correlation table you should try to get the decimal points in line (you cause your tab button)
Describe the correlation findings – but this only needs to be done for the variables that are associated (or not) with your dependent variable(s)
If any of the independent variables you have chosen are not significantly associated with the DV (if the variables are not associated then there is no way that they can then predict the outcome) – then you must report this and say that it /they will not be entered for further analyses

For multiple regression…
Look at the probability plot and mention line of best fit was followed
You don’t need a table if you are reporting in paragraph format (it should be one OR other – but not both)
Report the model summary and say whether or not the overall model, with all the predictors (IVs) added was significant
Report the adjusted R² value and say that this is the percentage of explained variance of your DV
You then need to examine the unique predictors (to say which ones had which influence over predicting the DV)
You need β and p values of all your significant unique predictors
… and report negative predictors correctly – so, for example, the prediction of depression is inversely related to warm fathering.