Analyzing Longitudinal Data With the Linear Mixed Models Procedure in SPSS

By Brady T. West. Evaluation & the Health Professions, 2009

389 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7227702e38b6c82331f94d6104a9441eb8636f24

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Annalaura Nocentini
2. Ersilia Menesini
3. Michael Wenzel
4. M. Pluess
5. L. Woodyatt

In Management Science and Operations Research

1. Annalaura Nocentini
2. Ersilia Menesini
3. Michael Wenzel
4. M. Pluess
5. L. Woodyatt

Citations in the corpus

• Self-Forgiveness and Restoration of an Offender Following an Interpersonal Transgression (2013, methodology): “We expected that there would be a natural decay of emotional intensity over time and thus we used linear mixed modelling to analyze the change in self-forgiving responses over time and their relationship to measures of restoration, which allowed us to control for withinsubject change over time as we”
• The Personality Trait of Environmental Sensitivity Predicts Children’s Positive Response to School-Based Antibullying Intervention (2018, methodology): “We applied linear mixed-effects models with full-information maximum likelihood estimation (West, 2009) to test our hypotheses.”