Table of contents

Preliminary material

  • Title and verso pages
  • Contents
  • Preface
  • Acknowledgments
  • Abbreviations
  • The Principles and Guidelines
  • Body section
    • 1 Background to the Guidelines
      • Background
      • Purpose of the Guidelines
      • Context of the development of the Guidelines
      • Organisation of the Guidelines
      • Key concepts in data linkage
        • What is data linkage?
        • Uses of data linkage
        • Data linkage methods
        • The data linkage process
        • Statistical linkage keys
      • Protocols of data linkage
    • 2 Values and ethics in Aboriginal and Torres Strait Islander research
      • Background
      • Aboriginal and Torres Strait Islander core values
      • Project approval
    • 3 Quality of Indigenous status information in data collections
      • Background
      • Factors affecting the quality of Indigenous statusinformation
        • The data collection environment
        • The respondent environment
      • Checklist for understanding the quality of Indigenous status information
    • 4 Quality of linkage variables
      • Background
      • Quality issues for linkage variables
        • Name changes
        • Date of birth
        • Mobility and levels of geographic reporting
      • Impact of quality of linkage variables on data linkage
    • 5 Assessment of quality of data linkage
      • Background
      • Determinants of linkage quality
        • Quality of blocking and linking variables
        • Blocking and linking strategy
      • Assessing the quality of data linkage
      • Approaches to assessment of data linkage quality
        • Measuring linkage quality through clerical assessment
        • Other approaches to assessing the quality of linkage
      • Measures of quality of data linkage
        • Other measures of quality of linkage from clerical assessment
      • Characteristics of unlinked records
      • Edit checks that should be performed before analysing linked data
        • Familiarisation with the data collections in the study
        • Basic frequency analyses of individual data sets beforemerging data
        • Knowledge of quality of input data sets and quality of linkeddata set
        • Logic or internal consistency checks on the linked data set
    • 6 Methods for deriving Indigenous status

 

    • Background
    • General issues to consider when choosing a method
    • Algorithms for deriving Indigenous status
      • Simple algorithms
      • Complex algorithms
    • Aggregate methods for deriving Indigenous status
    • Quality checks for derived Indigenous status
  • 7 Transparency
    • Why is transparency important?
    • What should be disclosed, by whom and to whom?
      • Before the project starts
      • After the project has been completed
      • Documentation considerations for data linkage institutions
  • End matter
    • Glossary
    • References
    • List of tables
    • List of figures
    • Forthcoming publications