Friday, March 14, 2008

Tip of the day: SPSS Correlations

When seeking a relationship between more than 10 variables, it is useful to run a correlation matrix, that way you can see all the sigificant relationships at one glance, instead of having to scroll down the page and seek them one by one.

7 comments:

Anonymous said...

so a correlation matrix is similar to factorial analysis. if not how do you preform the matrix

Teddy said...

Correlation Matrix- analyze->Correlate->Bivariate->Take all the variable that you are seeking a relationship between over to the box labeled "variables"->Click "OK". I am using SPSS 16 where most of the features such as Pearson, , Flag significant correlations etc are already selected, if those are not selected you will have to do so. good luck
Teddy

Anonymous said...

hi,
My thesis topic is "Parental divorce and its effects on young adults intimate relationship issues" i used miligrim'social intimacy scale to measure this. My problem however,is I am lost as to how to analyse the data. I tried to contact persons who did a similar study to mines but i wasn't able to accquire much help.My advisor told me to create my own mode of analysis........ Can you offer any assistance.

Teddy said...

What is your Hypothesis?

Anonymous said...

If you mean my research questions:

1 .Does parental divorce negatively affect young adults’ intimate relationships?

2.To what extent does sex differentiation influence the relationship among parental divorce, and young adults intimate relationships?

Anonymous said...

i was actually awaiting a repsonse after writing what my research quesions are

Teddy said...

I am assuming that the scale provides a measure of intimacy or lack thereof. I will also assume that you sampled persons whose parents divorced when they were younger as well as a comparison group who did not experience such. In this case you should run a t-test.

Hope this helps

Teddy