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Measurement Error with Patrick Ward and Scot Morrison

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Manage episode 408759757 series 3297580
Content provided by Anthony Donskov, PhD and Anthony Donskov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anthony Donskov, PhD and Anthony Donskov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In This Episode, You Will Learn:

  • Measurement error and building conceptual models in applied settings.

  • How to collect, analyze, and compute better information from both a sports science and a strength & conditioning perspective.

  • The issue with reliability + validity in tests.

  • The fundamentals of assessing and calculating errors.

Resources + Links:

Measurement in Medicine by Henrica C. W. W. de Vet

Probably Overthinking It by Allen B. Downey

Analyzing Baseball Data with R by Jim Albert and Benjamin S. Baumer

Calling Bullshit by Carl T. Bergstrom and Jevin D. West

Against the Gods by Peter L. Bernstein

The Lady Tasting Tea by David Salsburg

Check out Anthony’s Masterclass -

The High Performance Hockey Masterclass

Follow Anthony on Instagram | @anthonydonskov

Follow Anthony on Twitter | Anthony Donskov, PhD

Subscribe to our YouTube Channel | The HPH Podcast with Anthony Donskov

Follow HPH Podcast on Instagram | @hph_podcast

Follow HPH Podcast on Twitter | @TheHPH_Podcast

Learn more on our Website | https://www.donskovsc.com/

Check out Anthony’s Books

Physical Preparations for Ice Hockey: Biological Principles and Practical Solutions

The Gain, Go, and Grow Manual: Programming for High Performance Hockey Players

Show Notes:

Is it possible to have data that is both reliable and valid? Today, we have an informative podcast all about measurement with special guests, Dr. Patrick Ward and Dr. Scot Morrison. Dr. Patrick Ward is the Director of Research and Analysis at the Seattle Seahawks and a Statistics Professor at Lehman College, with a PhD in Sport and Exercise Science. Dr. Scot Morrison is currently working as a Senior Sports Scientist in MLB and boasts a diverse career in sports medicine.

Our conversation focuses on measurement, error, and conceptual models in an applied real world setting. We’ll hear their expert answers to several important questions from a sports science lens: What are the logical fallacies regarding reliability & validity in tests? How can we successfully collect & analyze better information? What are the basic fundamentals we need to know? Join us for an incredible educational talk centered around measurement in high performance sports!

0:00:00 Introducing Dr. Patrick Ward and Dr. Scot Morrison, here to discuss everything related to measurement!

0:03:40 Unpacking bad data, measurement errors, and skewed models.

0:08:35 What kind of validity should we be looking for in data?

0:14:45 How to measure external load on a case by case basis.

0:18:15 The issue of measurement reliability.

0:24:25 How can we successfully compute credible probability through error?

0:28:45 Assessing metric errors from a strength & conditioning perspective.

0:34:00 Steps for operationalizing and applying data models throughout a season.

0:39:25 What are the fundamentals of calculating error & noise?

0:42:10 The High Performance Hockey Masterclass ad.

0:43:30 Identifying the difference between testing errors.

0:47:05 Which measurements have you thrown out due to noise?

0:53:00 The importance of conceptual framework in decision making.

1:00:55 What can we learn from conceptual framework?

1:03:30 How do you build models from a sports science lens?

1:08:10 Navigating the truth & lies of models in applied settings.

1:13:40 Knowing what you know now, what advice & resources would you give aspiring performance coaches?

  continue reading

68 episodes

Artwork
iconShare
 
Manage episode 408759757 series 3297580
Content provided by Anthony Donskov, PhD and Anthony Donskov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anthony Donskov, PhD and Anthony Donskov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In This Episode, You Will Learn:

  • Measurement error and building conceptual models in applied settings.

  • How to collect, analyze, and compute better information from both a sports science and a strength & conditioning perspective.

  • The issue with reliability + validity in tests.

  • The fundamentals of assessing and calculating errors.

Resources + Links:

Measurement in Medicine by Henrica C. W. W. de Vet

Probably Overthinking It by Allen B. Downey

Analyzing Baseball Data with R by Jim Albert and Benjamin S. Baumer

Calling Bullshit by Carl T. Bergstrom and Jevin D. West

Against the Gods by Peter L. Bernstein

The Lady Tasting Tea by David Salsburg

Check out Anthony’s Masterclass -

The High Performance Hockey Masterclass

Follow Anthony on Instagram | @anthonydonskov

Follow Anthony on Twitter | Anthony Donskov, PhD

Subscribe to our YouTube Channel | The HPH Podcast with Anthony Donskov

Follow HPH Podcast on Instagram | @hph_podcast

Follow HPH Podcast on Twitter | @TheHPH_Podcast

Learn more on our Website | https://www.donskovsc.com/

Check out Anthony’s Books

Physical Preparations for Ice Hockey: Biological Principles and Practical Solutions

The Gain, Go, and Grow Manual: Programming for High Performance Hockey Players

Show Notes:

Is it possible to have data that is both reliable and valid? Today, we have an informative podcast all about measurement with special guests, Dr. Patrick Ward and Dr. Scot Morrison. Dr. Patrick Ward is the Director of Research and Analysis at the Seattle Seahawks and a Statistics Professor at Lehman College, with a PhD in Sport and Exercise Science. Dr. Scot Morrison is currently working as a Senior Sports Scientist in MLB and boasts a diverse career in sports medicine.

Our conversation focuses on measurement, error, and conceptual models in an applied real world setting. We’ll hear their expert answers to several important questions from a sports science lens: What are the logical fallacies regarding reliability & validity in tests? How can we successfully collect & analyze better information? What are the basic fundamentals we need to know? Join us for an incredible educational talk centered around measurement in high performance sports!

0:00:00 Introducing Dr. Patrick Ward and Dr. Scot Morrison, here to discuss everything related to measurement!

0:03:40 Unpacking bad data, measurement errors, and skewed models.

0:08:35 What kind of validity should we be looking for in data?

0:14:45 How to measure external load on a case by case basis.

0:18:15 The issue of measurement reliability.

0:24:25 How can we successfully compute credible probability through error?

0:28:45 Assessing metric errors from a strength & conditioning perspective.

0:34:00 Steps for operationalizing and applying data models throughout a season.

0:39:25 What are the fundamentals of calculating error & noise?

0:42:10 The High Performance Hockey Masterclass ad.

0:43:30 Identifying the difference between testing errors.

0:47:05 Which measurements have you thrown out due to noise?

0:53:00 The importance of conceptual framework in decision making.

1:00:55 What can we learn from conceptual framework?

1:03:30 How do you build models from a sports science lens?

1:08:10 Navigating the truth & lies of models in applied settings.

1:13:40 Knowing what you know now, what advice & resources would you give aspiring performance coaches?

  continue reading

68 episodes

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