ODL-DSBA Multilevel Data Analysis

Topic outline

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  General

  • Announcements Forum
  • MDA Module Overview Page

    Tan Kok Kiang

    Lecturer
    

    I am a lecturer specializing in the field of Data Science & Statistics with nearly 20 years of academic experience. I hold an MSc in Applied Statistics and currently doing my PhD in the area of Economics at the Universiti Selangor, Malaysia. I have published few journal article in indexed journal and few more in the process, in the area of statistics.

    Email: kok.kiang@apu.edu.my
    

    Email Subject:  AQ058-3-M-MDA – your intake – your name – subject/request title

    Use only your APU official Email for correspondence.

    
    

    Consultation:

    Refer to “iConsult” on APU Apspace to book appointments.

    
    

  • Module Synopsis Page

    Multilevel Data Analysis introduces the knowledge of nesting structure data to accommodate hierarchical linear data structure. This module covers Hierarchical Linear Model and Random Intercept Model, and the problems relevant to multilevel data. The acquired knowledge is useful to treat multilevel data, identify the linkage between two stage sampling and appropriate method in analysing data.

    
    

  • Course Learning Outcome Page

    CLO1 Appraise the concepts, theory and practice that related to Hierarchical Linear Model (C5, PLO2)

    CLO2 Construct appropriate multilevel model for varying circumstances (C6, PLO7)

    CLO3 Perform multilevel data analysis for large dataset using computer software (A2, PLO6)

    
    

  • Course Outline Page
  • Assessment Page

    Individual Assignment

    For the individual assignment, you are required to collect multilevel data based on your research interest, and perform total regression, between group regression, within group regression, multilevel regression, random intercept model and hierarchical linear model. Besides, you shall search two articles related to multilevel modelling and review it accordingly.
    

    Final Examination
    

    There will be a question to test your understanding on the concept of the Multilevel Data Analysis and three output based questions.
    

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  Introduction and Module Overview

  
  

  • Introduction and Module Overview File
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  Introduction to Multilevel Data Analysis

  
  

  • Introduction File
  • Tutorial 1 File
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  Multilevel Theories, Multi-Stage Sampling and Multilevel Models

  
  

  • Multilevel Theories, Multi-Stage Sampling and Multilevel Models File
  • Tutorial 2 File
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  Statistical Treatment of Clustered Data - Part A

  
  

  • Statistical Treatment of Clustered Data - Part A File
  • Use aggregation and disaggregation methods Forum
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  Statistical Treatment of Clustered Data - Part B

  
  

  • Statistical Treatment of Clustered Data - Part B File
  • Tutorial 3 File
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  The Random Intercept Model - Part A

  
  

  • Random Intercept Model Part A File
  • Differences between multiple linear regrsssion and random intercept model Forum
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  The Random Intercept Model - Part B

  
  

  • The Random Intercept Model - Part B File
  • Tutorial 4 File
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  The Hierarchical Linear Model

  
  

  • The Hierarchical Linear Model File
  • Tutorial 5 File
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  Testing and Model Specification

  
  

  • Testing and Model Specification File
  • Tutorial 6 File