Introduction and Measuring Validity and Data Origin Quality-Welcome!
Welcome to Course 2!
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Course Syllabus
Course Pre-Survey
Introduction and Measuring Validity and Data Origin Quality-Validity
Measuring Validity for Designed Data
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Files for Example 1
Example 1: Performing CFA and Examining Measurement Invariance in R
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Example 2: A tutorial on estimating 'true-score' multitrait-multimethod models with lavaan in R
Approaches and Considerations for Measuring Quality for Gathered Data
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Measuring Validity for Gathered Data
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Introduction and Measuring Validity and Data Origin Quality-Data Origin
Measuring Data Origin Quality for Designed Data
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Output and R data file for the next Examples video
Examples: Computing Measures of Data Origin Quality for Designed Data in R
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Case Study: Measuring the Quality of Cause-of-Death Data at the CDC
Measuring Data Origin Quality for Gathered Data
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Example 4: Measuring Validity and Data Origin Quality for Gathered Data
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Measuring Processing and Data Access Quality-Processing
Measuring Processing Quality for Designed Data
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Data files for the next example
Example: Computing Processing Metrics with Real Data and Code
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Measuring Processing Quality for Gathered Data
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Example: Computing Processing Metrics for Gathered Data
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Measuring Processing and Data Access Quality-Data Access
Measuring Data Access Quality for Designed Data
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Example: Computing Access Metrics with Read Data and Code
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Measuring Data Access Quality for Gathered Data
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Case study article: Hino and Fahey 2019
Case Study: Measuring Data Access Quality in Gathered Twitter Data
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Measuring Data Source Quality and Data Missingness-Data Source
Measuring Data Source Quality for Designed Data
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Data files for the next example
Example: Computing Data Source Metrics with Real Data and Code
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Measuring Data Source Quality for Gathered Data
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Example: Computing Data Source Quality Metrics with Real Data and Code
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Measuring Data Source Quality and Data Missingness-Data Missingness
Measuring Threats to Data Source Quality: Designed Data
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Link to R software and Examples on GitHub (from previous lecture)
Example: Computing Data Missingness Metrics with Real Data and Code
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Measuring Data Missingness for Gathered Data
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Data file for the next example
Example: Computing Data Missingness for Gathered Data
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Measuring the Quality of Data Analysis-Measuring the Quality of Data Analysis
Measuring the Quality of an Analysis of Designed Data
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Files for the next Example
Example: Computing Measures of Data Analysis Quality for Designed Data in R
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Measuring the Quality of an Analysis of Gathered Data
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Suggested readings from the previous lecture
Example: Computing Metrics for Quality of Models of Gathered Data
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The Aequitas Bias Toolkit for Auditing Machine Learning Models
Measuring the Quality of Data Analysis-Course Conclusion
Course Conclusion
References for Measuring Total Data Quality
Course Post-Survey