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[From the Archives] Ep 109: Dr. Mary Ellen Dello Stritto and Patrick Aldrich on Non-parametric Statistics

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Content provided by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit 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.

On this episode, Dr. Mary Ellen Dello Stritto is joined by Patrick Aldrich. Patrick received his bachelor’s degree in Wildlife biology and a minor in Entomology from the University of California, Davis. After graduation, he spent 5 years in various field biology positions, studying a wide array subjects from Bowerbird mating systems in Australia to integrated pest management of ground squirrels in Northern California. He subsequently decided to return to school to pursue a PhD at the University of Hawaii, Manoa, where he studied the spatio-temporal variation of pollination networks in Hawaiian tropical dry forests. Following his graduate work, he was the project director for a project that used spatial analyses to study the random correspondence of fingerprint patterns. Through his work, he has acquired extensive experience in biostatistics. He is currently the data manager and statistician for the Oregon Quality Rating and Improvement System for early childhood and other projects at The Research Institute at Western Oregon University. He continues to apply parametric, non-parametric and likelihood methodologies to analyze various datasets associated with early childhood and educational research.

Segment 1: Parametric vs. Non-parametric statistical tests [00:00-18:52]

In this first segment, Patrick discusses the differences between parametric and non-parametric statistical tests and the best practices for using non-parametric tests.

In this segment, the following resources are mentioned:

Segment 2: Using non-parametric tests [18:53-33:31]

In segment two, Patrick discusses how he uses non-parametric statistical tests in his research and how other researchers have used them.

In this segment, the following resources are mentioned:

To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast:

Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111

If you listen to the podcast via iTunes, please consider leaving us a review.

The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

  continue reading

413 episodes

Artwork
iconShare
 
Manage episode 266378390 series 1110236
Content provided by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit 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.

On this episode, Dr. Mary Ellen Dello Stritto is joined by Patrick Aldrich. Patrick received his bachelor’s degree in Wildlife biology and a minor in Entomology from the University of California, Davis. After graduation, he spent 5 years in various field biology positions, studying a wide array subjects from Bowerbird mating systems in Australia to integrated pest management of ground squirrels in Northern California. He subsequently decided to return to school to pursue a PhD at the University of Hawaii, Manoa, where he studied the spatio-temporal variation of pollination networks in Hawaiian tropical dry forests. Following his graduate work, he was the project director for a project that used spatial analyses to study the random correspondence of fingerprint patterns. Through his work, he has acquired extensive experience in biostatistics. He is currently the data manager and statistician for the Oregon Quality Rating and Improvement System for early childhood and other projects at The Research Institute at Western Oregon University. He continues to apply parametric, non-parametric and likelihood methodologies to analyze various datasets associated with early childhood and educational research.

Segment 1: Parametric vs. Non-parametric statistical tests [00:00-18:52]

In this first segment, Patrick discusses the differences between parametric and non-parametric statistical tests and the best practices for using non-parametric tests.

In this segment, the following resources are mentioned:

Segment 2: Using non-parametric tests [18:53-33:31]

In segment two, Patrick discusses how he uses non-parametric statistical tests in his research and how other researchers have used them.

In this segment, the following resources are mentioned:

To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast:

Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111

If you listen to the podcast via iTunes, please consider leaving us a review.

The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

  continue reading

413 episodes

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