One-to-one support for LSE's Multilevel and Longitudinal Models module, with help understanding the main ideas, keeping up with the work, and preparing confidently for assessments.
Develops applied methods for analysing clustered, multilevel and longitudinal data. Students use R to fit random-intercept and random-slope models, examine contextual and cross-level effects, select models and interpret repeated-measures and hierarchical data.
Our tutoring for ST314 is designed to make the module feel more manageable. Sessions can focus on clarifying lecture material, rebuilding foundations, working through problem sets, R exercises, model interpretation and exam-style questions, and developing a clearer strategy for revision and assessed work. The aim is to help students understand the module deeply enough to apply the material independently, not just memorise model answers.
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Our ST314 tutors include experienced university teachers and subject specialists. If you are not sure who is right for you, tell us what you need help with and we will recommend the best match.
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