Roadmap to Data Analysis

This series introduces Survivor of Torture programs to essential concepts and methods for data analysis, and demonstrates the use of various tools. The series objectives are to:

  • Provide an introduction to basic statistical procedures relevant to SOT agencies
  • Provide a foundation to analyze and interpret data on clients, services, and outcomes
  • Provide an introduction to the use of available tools for basic analysis of data
  • Provide an understanding of the limitations of statistical analysis, and guidelines for agency staff about when to seek statistical consultation

 

Intro to Roadmap to Data Analysis Series

The introduction to the Roadmap to Data Analysis series, which is designed for staff members at torture treatment programs who find that they must do evaluation and data analysis work without the relevant training.

The introduction to the Roadmap to Data Analysis series, which is designed for staff members at torture treatment programs who find that they must do evaluation and data analysis work without the relevant training.

 

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Roadmap to Data Analysis 1: Intro to Statistical Thinking

The first module in the Roadmap to Data Analysis series, this short video covers the basics of statistical thinking and inference, describes the concepts of “population” and “sample” in quantitative research, explains the process by which inferences can be made to a population based on a sample, and clarifies what "hypothesis testing” and “probability value" mean in a data analysis context.

The first module in the Roadmap to Data Analysis series, this short video covers the basics of statistical thinking and inference, describes the concepts of “population” and “sample” in quantitative research, explains the process by which inferences can be made to a population based on a sample, and clarifies what "hypothesis testing” and “probability value" mean in a data analysis context.

 

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Roadmap to Data Analysis 2: Primer on Measurement and Variables

The second module in the Roadmap to Data Analysis series, this short video defines the types of variables, describes the various levels of measurement (including continuous and categorical, nominal, and ordinal variables), and identifies the best ways to report data.

The second module in the Roadmap to Data Analysis series, this short video defines the types of variables, describes the various levels of measurement (including continuous and categorical, nominal, and ordinal variables), and identifies the best ways to report data.

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Roadmap to Data Analysis 3: Choosing the Right Statistical Test

The third module in the Roadmap to Data Analysis series, this short video covers the different types of statistics that are used in reporting, and the relationship between types of measurement and statistical tests.

The third module in the Roadmap to Data Analysis series, this short video covers the different types of statistics that are used in reporting, and the relationship between types of measurement and statistical tests.

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Roadmap to Data Analysis 4: Comparing Averages - The t Tests

The fourth module in the Roadmap to Data Analysis series, this short video helps you determine which statistical test to use for comparing averages between two groups, describes the differences between the independent t test and dependent (paired) t test, and demonstrates how to use a t test calculator with example data, and interpret results.

The Student's t-test is used in this video: http://www.healtorture.org/content/paired-t-test-calculator-tool

The fourth module in the Roadmap to Data Analysis series, this short video helps you determine which statistical test to use for comparing averages between two groups, describes the differences between the independent t test and dependent (paired) t test, and demonstrates how to use a t test calculator with example data, and interpret results.

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Roadmap to Data Analysis 5: Comparing Counts - Chi Square

The fifth module in the Roadmap to Data Analysis series, this short video helps you determine the type of data that are relevant for a chi-square analysis, understand the basics of how chi-square works, practice using a chi-square calculator with example data, and understand how to interpret results.

The Chi-Square calculator used in this video is: http://www.healtorture.org/content/basic-statistical-methods

The fifth module in the Roadmap to Data Analysis series, this short video helps you determine the type of data that are relevant for a chi-square analysis, understand the basics of how chi-square works, practice using a chi-square calculator with example data, and understand how to interpret results.

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Roadmap to Data Analysis 6: Comparing Continuous Variables - Correlation

The sixth module in the Roadmap to Data Analysis series, this short video describes the type of data that are relevant for a correlation analysis, explains the basics of how correlation works, demonstrates how to use a correlation calculator or Excel to conduct a correlation analysis with sample data, and provides guidance on interpreting and reporting results.

This calculator was used to obtain both the r and p values in this video: http://www.healtorture.org/content/pearson-r-and-p-value-calculators

If you are familiar with Excel, you can also use the step-by-step instructions available here to obtain the Pearson's r value: http://www.healtorture.org/content/correlation-calculation)

The sixth module in the Roadmap to Data Analysis series, this short video describes the type of data that are relevant for a correlation analysis, explains the basics of how correlation works, demonstrates how to use a correlation calculator or Excel to conduct a correlation analysis with sample data, and provides guidance on interpreting and reporting results.

 

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Roadmap to Data Analysis: Launching the Series

This webinar, from 7/16/2014, features Ed Cohen, PhD. It introduces the Roadmap to Data Analysis video series and answers a few questions about the videos and the topics they cover.

This webinar is part of the National Capacity Building Project's webinar series. NCB is a project of the Center for Victims of Torture.

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Date: 

Wednesday, 16 July 2014

This series introduces Survivor of Torture programs to essential concepts and methods for data analysis, and demonstrates the use of various tools. The series objectives are to:

  • Provide an introduction to basic statistical procedures relevant to SOT agencies
  • Provide a foundation to analyze and interpret data on clients, services, and outcomes
  • Provide an introduction to the use of available tools for basic analysis of data
  • Provide an understanding of the limitations of statistical analysis, and guidelines for agency staff about when to seek statistical consultation

This webinar, from 7/16/2014, features Ed Cohen, PhD. It introduces the Roadmap to Data Analysis video series and answers a few questions about the videos and the topics they cover.