Multilevel Modelling using SPSS

Description:

Multi-level Modelling using SPSS

Who is the course aimed at?
This course is aimed at two distinct groups. It is primarily designed as a beginners' course in multi-level modelling (AKA Hierarchical Linear Modelling), for those who face the challenge of working with multi-level data sets and want to be able to analyse them in the most powerful and accurate way.

However it should also appeal to those with a little experience of multi-level modelling using other specialist packages who now want to learn how to run such models in SPSS using the MIXED MODELS menu and commands.

Course level:
A reasonable working knowledge of multiple regression and some previous experience of using SPSS to perform statistical analysis is expected. No previous experience of multi-level modelling will be assumed.

Course content and aims:
The course will cover the following topics:

• Introduction to multi-level data - what it is and why it requires special treatment
• Restructuring Data in preparation for multi-level modelling
• What is a multi-level model?
• Building and fitting a multi-level model in SPSS
• Further issues in multi-level modelling: centering, sample size and scaling
• Advanced multi-level models: analysing longitudinal data and cross-sectional data using multi-level modelling in SPSS

  The course comprises of a mixture of short lectures on the basic theory behind multi-level models, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 60-page coursebook containing all the notes and worked examples, providing an easy reference and reminder for the techniques you have learned.

  Course timings: The course fits comfortably into a full day, starting at 9.30am and finishing at around 5.30pm, with a 45 minute lunch break, and short mid-morning and afternoon coffee breaks. Transport timings for my return journey permitting, I am always willing to stay on for a while after the end of the course to answer questions pertinent to participants' own data sets.

  The teacher:
  Dr Chris Stride has been using SPSS in his work as a statistician and data manager for the last 12 years. He has particular experience and expertise in teaching non-statisticians from the fields of psychology, HR, management and the social sciences. He is a member of the ASSESS (UK SPSS Users Group) Committee, and runs courses for ASSESS, inhouse courses at UK Universities and public sector institutions and public training courses based at the University of Sheffield.

Cost:

£225 waged / £175 students

Website and registration:

http://www.figureitout.org.uk

Region:

Greater London

Keywords:

Survey and Questionnaire Design, Data Quality and Data Management , Measurement Error, Quantitative Data Handling and Data Analysis, Regression Methods, Multilevel Modelling , Longitudinal Data Analysis, Latent Variable Models, Structural equation models, Mixed Methods Data Handling and Data Analysis, Quantitative Software, Quantitative Software , SPSS , Growth Curves , Hierarchical Linear Models , Random Effects , Fixed Effects , Panel Data

Related publications and presentations:

Survey and Questionnaire Design
Data Quality and Data Management
Measurement Error
Quantitative Data Handling and Data Analysis
Regression Methods
Multilevel Modelling
Longitudinal Data Analysis
Latent Variable Models
Structural equation models
Mixed Methods Data Handling and Data Analysis
Quantitative Software

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