Question
• Stockholm School of Economics & NLA University College Hauge School of Management

# How to perform a longitudinal analysis using SPSS?

I am searching for a step-by-step procedure explaining all the commands and possible commands and models when using the mixed models command in SPSS (I have unbalanced longitudinal data).

12th Aug, 2022
Kelvyn Jones
University of Bristol
This is an excellent site
includes SPSS syntax , that accompanies the book
Longitudinal Analysis: Modeling Within-Person Fluctuation and Change (by Lesa Hoffman)
2 Recommendations

## Top contributors to discussions in this field

10th Mar, 2015
Weill Cornell Medicine
This book goes throught it pretty throughly. The book website has all the examples that can be done in spss on it excepts (perhaps) glmm which has added to SPSS after the book was written but follows similar ideas. Here is that site
2 Recommendations
10th Mar, 2015
Deborah J Hilton
Deborah Hilton Statistics Online
there is a book analysis without anguish which is SPSS based
16th Apr, 2015
Mohsen Hojat
Jahrom University of Medical Sciences
its related to your variables that you study designed for it
if you have a special demonstrate my be i help you more.
1 Recommendation
17th Apr, 2015
Shiraz University of Medical Sciences
Please explain more but according to your question repeated measurement can be one of choices. I would like it can be helpful.
12th Aug, 2022
Chiemelie Benneth Iloka
Enugu State University of Science and Technology
I would recommend factorial ANOVA with simple effect analysis.
12th Aug, 2022
Kelvyn Jones
University of Bristol
This is an excellent site
includes SPSS syntax , that accompanies the book
Longitudinal Analysis: Modeling Within-Person Fluctuation and Change (by Lesa Hoffman)
2 Recommendations

## Related Publications

Article
Full-text available
Clustered count data are commonly modeled using Poisson regression with random effects to account for the correlation induced by clustering. The Poisson mixed model allows for overdispersion via the nature of the within-cluster correlation, however, departures from equi-dispersion may also exist due to the underlying count process mechanism. We stu...
Article
This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and cat...
Got a technical question?