Research Correlation
NPTE Clinical Files | Physical Therapy
Kyle Rice
4.9 • 630 Ratings
🗓️ 25 October 2023
⏱️ 15 minutes
🧾️ Download transcript
Summary
Janie is a physical therapist who is conducting research to determine the relationship between hours of standing per day and the severity of lower back pain in factory workers. After analyzing the data, the therapist finds a positive, strong correlation (r = 0.85) between the two variables. What does this correlation coefficient indicate?
A) An 85% chance that standing longer hours directly causes increased back pain severity.
B) A strong relationship between hours of standing and back pain severity, but not necessarily a cause-and-effect relationship.
C) A negative relationship between hours of standing and back pain severity.
D) An insignificant relationship between the two variables.
LINKS MENTIONED:
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Transcript
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| 0:00.0 | I'm Kyle Rice, awful test taker turned physical therapists and standardized test coach for over 5,000 physical therapists worldwide. |
| 0:09.0 | It wasn't that long ago that I struggle with anxiety, lack of confidence, and the fear of failing the NPTE. |
| 0:16.0 | Fast forward through the challenges, the 13 standardized test failures, and many lessons learn. And you'll see the life I have |
| 0:22.8 | today, a life filled with love, financial freedom, and a dream job that allows me to change |
| 0:28.2 | lives every single day. I created the NPTE Clinical Files podcast to give you simple, |
| 0:34.3 | actionable strategies, along with a step-by-step walkthrough of NPTE-based questions. |
| 0:40.5 | All of this so that you can dominate your exam like I did and achieve your dream. |
| 0:45.5 | So if you're a driven PT student who's looking to pass the NPTE and start creating a life |
| 0:50.8 | you love, you're in the right place. |
| 0:53.1 | Enjoy the show. |
| 0:56.4 | For this week's clinical file, |
| 1:01.9 | we have Janie, and Janie is a physical therapist who is conducting research to determine the relationship between hours of standing per day and the severity of low back pain in factory |
| 1:08.5 | workers. After analyzing the data, the therapist finds a positive, |
| 1:14.8 | strong correlation, R equals 0.85, between the two variables. What does this correlation |
| 1:23.4 | coefficient indicate? So we have A, an 85% chance that standing longer hours directly causes |
| 1:33.1 | increased back pain severity. B, a strong relationship between hours of standing and back pain |
| 1:40.8 | severity, but not necessarily a cause and effect relationship. |
| 1:45.8 | C, a negative relationship between hours of standing and back pain severity. |
| 1:52.9 | And D, an insignificant relationship between the two variables. |
| 1:58.1 | All right, let's go to the top of this question, y'all. I'm excited. Why? Because we're |
| 2:05.3 | getting ready for the 2024 exam. Now we're getting closer to this thing. And of course, everybody |
| 2:12.3 | is a little freaking out right now because it's like, hey, there's major changes happening and all |
... |
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