Statistical Analysis for Progress Score Comparison

I need assistance performing a statistical analysis to determine if there is a significant difference in the progress of scores over time/age between two groups: early and late. This includes analyzing the following dependent variables:

Dependent Continuous/Scale Variables:

Individual domain scores (e.g., physical functioning, energy, emotional functioning, etc.)
Total scores (mean of domain scores)
Mean of each domain score
Mean of total scores
Analysis Details:

Fixed Effects:

Age/Time (covariant)
Group: Early vs. Late
Gender: Female vs. Male
Random Effect:

Patient ID
Software Requirements:

IBM SPSS Statistics (Mixed Design Linear Analysis)
R Software for additional visualization if needed
Deliverables:

Full statistical analysis, including significance tests for each variable and comparison between the two groups (early vs. late).
Graphical representation of results (e.g., GGraph linear in SPSS or equivalent in R).
A written summary of findings and interpretations of the results.
[Optional] Assistance with interpreting output and ensuring correct methodology.
Additional Info:


The one with knowledge can contact me for more details