Hi guys, i need some guide.
I'm analyzing my questionnaire data (ordinal, likert scale 1-5).
My objective requires me to calculate the relationship of the variables.
But in order for me to use the Spearman Correlation I have to group my variables to 2 groups which is I'm a bit confuse. I have 20 questionnaire which is each 10 item represent 1 variable (dimension).
How is actually group the variables using SPSS?
Because there have been so many questions here about how to work with Likert-scored variables, I have collected some resources on this topic:
https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items
Because there have been so many questions here about how to work with Likert-scored variables, I have collected some resources on this topic:
https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items
Muhammad, David's link is very handy. I have used it when I started learning statistical analysis.
Apart from what you can find in the link provided by David, I would add couple of things for your analysis.
1. It is not clear if you have used an existing published questionnaire to measure 2 variables using 10 items each. (That is someone else has used 10 item scale to measure 1 variable and validity of the scale has been established). If this is the case, you might consider running Confirmatory Factor Analysis (CFA) to see if your data shows same structure. Unfortunately, SPSS does not provide CFA function directly and you will need to use AMOS, an add-on to SPSS to run the test.
2. If you have merged more than one studies to create 10 items for measuring 1 variable. Consider running Exploratory Factor Analysis (EFA). You can find it in menu Analyze--> Scale. For how to do it, read the following article, I found it real handy:
Beavers, A. S., Lounsbury, J. W., Richards, J. K., Huck, S. W., Skolits, G. J., & Esquivel, S. L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical assessment, research & evaluation, 18.
3. Sometimes, people tend to run Principle Component Analysis (PCA) as well. Give it a try too. It can be found under the same menu as EFA.
BR
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Statistics
- Statistical Software
- SPSS