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Philip Holmes-Smith
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Mr Philip Holmes-Smith (OAM) is the Director of School Research, Evaluation and Measurements Services (SREAMS), an independent educational research consultancy business. His research, evaluation and measurement interests lie in the areas of teacher effectiveness and school improvement, accountability models and benchmarking, improving the quality of teaching, using student performance data to inform teaching, and large-scale achievement testing programs. He is an experienced teacher of social science research methods and is a regular instructor at the ACSPRI programs.
Courses taught by this instructor
Structural Equation Modelling (SEM) Fundamentals: Online (3-days)
This course is designed to cover the fundamental principles of Structural Equation Modeling (SEM) and introduce the AMOS and/or Mplus software packages to estimate structural equation models.
Advanced Structural Equation Modelling using Mplus
This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing Mplus users or for existing AMOS and LISREL users who wish to convert to Mplus.
Advanced Structural Equation Modelling
This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users.
Applied Structural Equation Modelling using Mplus
This course is designed as an applied introduction to the use of the Mplus software for estimating basic structural equation models.
Applied Structural Equation Modelling using AMOS
This course is designed as an applied introduction to the use of the AMOS software for estimating basic structural equation models.
Advanced Structural Equation Modelling using AMOS
This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS users.
Advanced Structural Equation Modelling: Online
This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users.
Multi-level Analysis using Mplus
An introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects)
Multi-level Analysis using Mplus: Online
An introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects)