Errors and Inference A Framework Julia Lane Coleridge
- Slides: 11
Error(s) and Inference A Framework Julia Lane, Coleridge Initiative
Conceptual Practical Operational
Quality Framework Some considerations: • Timeliness • Closeness to core measure • Coverage • Geographic detail • Longitudinal Consistency How do we trade off? Conceptual Practical Operational
The aim of total quality is to optimally balance all producer and user dimensions Timeliness Accuracy Accessibility Credibility Completeness Comparability Relevance Interpretability Coherence User Producer BIEMER, P. (2017) ERRORS AND INFERENCE, CHAPTER 10 IN BD AND SOCIAL SCIENCE Conceptual Practical Operational
Past Focus -- Total Survey Error Framework (Groves et al. 2004) Conceptual Practical Operational
Multiple administrative data sources: Phase 1 Extension of the framework when using integrated administrative sources by Zhang (2012) Cited in Reid, Zabala, Holmberg “Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ “ Conceptual Practical Operational
Multiple administrative data sources: Phase 2 Extension of the framework when using integrated administrative sources by Zhang (2012) Cited in Reid, Zabala, Holmberg “Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ “ Conceptual Practical Operational
The relationship of errors to data structure Columns = measurement V 1 V 2 Rows = representation Record # ∙∙∙ VK total error = row error + column error + cell error BIEMER, P. (2017) ERRORS AND INFERENCE, CHAPTER 10 IN BD AND SOCIAL SCIENCE Conceptual Practical Operational
The relationship of errors to integrated administrative datasets V 1 V 2 . . . … ∙∙∙ … Rows = representation Record # Columns = measurement VK+1 ∙∙∙ VK BIEMER, P. (2020) ERRORS AND INFERENCE, CHAPTER 10 IN BD AND SOCIAL SCIENCE Conceptual Practical Operational
Understand how data are generated http: //tylervigen. com/spurious-correlations Conceptual Practical Operational
Questions What do the rows for the data in your project represent? - Identify one or two sources of possible error - Discuss the possible consequences What do the key columns for the data in your project represent? - Identify one or two sources of possible error - Discuss the possible consequences
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