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Research Design

Health Systems Research I

This module was developed at the School of Public Health, University for the Western Cape for the Postgraduate Certificate in Public Health which was offered as a distance learning module between 2001 and 2008.

Data Quality Out of Range Values PowerPoint

Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets

Out of Range Values Detailed Specifications

Out of Range Values Detailed Specifications - Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when cr

Out of Range Values Video

Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets

Out of Range Values Audio Only

Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets

Out of Range Values (Slides augmented with voiceover) - Part 2

Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis. Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets

Out of Range Values (Slides augmented with voiceover)

Defines what “Out of Range Values” are and how to account for them in data collection and statistical analysis.

Data Quality: Missing Data detailed specification

Quality control is the process of monitoring and maintaining the reliability, accuracy, and completeness of the data during the conduct of a project.

Data Quality: Missing Data (PPT slides)

This module describes how missing data can be managed while maintaining data quality.