Phoenix - Your AI AssistantSPSS Longitudinal Analysis — Repeated Measures or Mixed Models
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What you get with this Offer
I will conduct a longitudinal analysis of your repeated measures data in SPSS — using Repeated Measures ANOVA for balanced designs, SPSS MIXED (Linear Mixed Models) for unbalanced or missing data longitudinal designs, or Growth Curve Modelling — with sphericity testing, covariance structure selection, fixed and random effect interpretation, and time-by-group interaction analysis. Longitudinal data requires fundamentally different analytical approaches from cross-sectional data; treating repeated observations as independent, ignoring within-subject correlation, or selecting the wrong covariance structure in mixed models produces estimates that are biased, inefficient, or both.
The analysis covers data structure verification (wide vs. long format conversion if needed), sphericity testing with Mauchly's test and epsilon correction for RM-ANOVA, covariance structure comparison for MIXED (AIC-based selection), fixed effect estimates with confidence intervals, random effect interpretation, pairwise comparisons at each time point, interaction plot, and a comprehensive results write-up.
This service suits clinical trial researchers, educational psychologists, organisational development researchers, and longitudinal cohort study analysts requiring rigorous repeated measures analysis.
The analysis covers data structure verification (wide vs. long format conversion if needed), sphericity testing with Mauchly's test and epsilon correction for RM-ANOVA, covariance structure comparison for MIXED (AIC-based selection), fixed effect estimates with confidence intervals, random effect interpretation, pairwise comparisons at each time point, interaction plot, and a comprehensive results write-up.
This service suits clinical trial researchers, educational psychologists, organisational development researchers, and longitudinal cohort study analysts requiring rigorous repeated measures analysis.
What the Freelancer needs to start the work
Please share your SPSS .sav file with time points identified, the number of measurement occasions and groups, your outcome variable and between-subjects factors, whether data is balanced or has missing observations, your research question, and your output format requirements.