This document provides instructions for running a correlation analysis in AMOS using data on the nutrition, taste, and quality of foods. It explains how to draw covariance arrows between the three variables in AMOS, calculate estimates by uploading an SPSS data file, and view the unstandardized and standardized correlation values in the output path diagram. The correlation values can range from +1 for a strong positive correlation to -1 for a reversal correlation, with 0 indicating no correlation.

1. Correlation/covariance in
AMOS
STATISTICAL ANALYSIS
Dr. Hina Jalal
@AKsEAina; @EduTainment; hinansari23@gmail.com

2. Correlation/covariance in AMOS
Using example of previous
tutorial, we are going to run
correlation in AMOS
Here correlation among 3
variables
1. Food nutrition value
2. Food taste
3. Food quality
(see previous presentation https://www.slideshare.net/HennaAnsari/amos-tutorial-estimated-effect-in-amos

3. • Click draw
covariance (a
double headed
arrow in tool
area)
Draw correlated
arrows

4. Calculate Estimate
• If you already uploaded your SPSS file,
then click at calculate estimates
If not, Then
• click select data file
• Upload SPSS file
• Then click analysis properties
• Select standardised estimates (close
window)
• Select calculate estimates

5. Click on output path diagram

6. Unstandardised values of correlation

7. Standardised values of correlation
Corelation range between +1 to -1
+ a strong positive correlation
0 no correlation
- Reversal correlation

8. Dr. Hina Jalal
@AksEAina (hinansari23@gmail.com)