Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ecological Succession02:17

Ecological Succession

21.5K
Ecological succession is influenced by the processes of facilitation, inhibition, and toleration. Facilitation occurs when early successional species create more favorable ecological conditions for subsequent species, such as enhanced nutrient, water, or light availability. In contrast, inhibition happens when early successional species create unfavorable ecological conditions for potential successive species, such as limiting resource availability. In some cases, later successional species...
21.5K
Student t Distribution01:31

Student t Distribution

14.1K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
14.1K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

5.9K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.9K
Transcription Factors02:16

Transcription Factors

82.7K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.7K
Factors Affecting Solubility04:01

Factors Affecting Solubility

37.0K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
37.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Blood Flow Restriction Use by U.S. Physical Therapists: A Survey on Settings, Equipment, and Adverse Effects.

International journal of exercise science·2025
Same author

Reliability of the Instrumented Modified Clinical Test of Sensory Interaction on Balance Using a Virtual Balance Device.

International journal of exercise science·2024
Same author

Impact of 10-Week Evidence-Based Falls Prevention Program on Outcomes Related to Falls Risk in Community-Dwelling Older Adults.

International journal of exercise science·2024
Same author

A VO<sub>2max</sub> Protocol for Young, Apparently Healthy Adults.

International journal of exercise science·2024
Same author

The Validity of Perceptual Recovery Status on Monitoring Recovery During a High-Intensity Back-Squat Session.

International journal of sports physiology and performance·2023
Same author

Cardiovascular Responses During Light-intensity Aerobic Exercise with Varying Levels of Limb Occlusion Pressures.

International journal of exercise science·2023

Related Experiment Video

Updated: Jan 29, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Factors Affecting PhD Student Success.

Sonia N Young1, William R Vanwye2, Mark A Schafer3

  • 1Department of Physical Therapy, Western Kentucky University, Bowling Green, KY, USA.

International Journal of Exercise Science
|February 15, 2019
PubMed
Summary

High attrition rates plague US PhD programs. Key factors influencing doctoral student success include advisor relationships, mentorship, and the dissertation process, offering insights for kinesiology programs.

Keywords:
Student-advisordissertation processkinesiology educationmentorship

More Related Videos

The Successive Alleys Test of Anxiety in Mice and Rats
05:05

The Successive Alleys Test of Anxiety in Mice and Rats

Published on: June 17, 2013

22.4K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.9K

Related Experiment Videos

Last Updated: Jan 29, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
The Successive Alleys Test of Anxiety in Mice and Rats
05:05

The Successive Alleys Test of Anxiety in Mice and Rats

Published on: June 17, 2013

22.4K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.9K

Area of Science:

  • Doctoral studies
  • Higher education
  • Kinesiology

Background:

  • Doctor of Philosophy (PhD) programs in the US face significant attrition rates, ranging from 36-51% across various disciplines.
  • Factors influencing PhD student success are not well-explored within kinesiology doctoral programs, despite their evaluation by the National Academy of Kinesiology.

Purpose of the Study:

  • To review existing literature on factors impacting PhD student success.
  • To provide valuable insights for kinesiology PhD students and programs regarding student success and retention.

Main Methods:

  • A qualitative literature review was conducted.
  • The review focused on factors such as the student-advisor relationship, mentorship, and the dissertation process.

Main Results:

  • The student-advisor relationship is a critical factor in PhD completion.
  • Effective mentorship and a well-managed dissertation process are associated with higher student success rates.
  • General factors identified in the literature may be applicable to kinesiology PhD programs.

Conclusions:

  • Understanding and addressing key factors like advisor relationships, mentorship, and dissertation challenges can improve PhD student retention.
  • This review offers foundational knowledge for enhancing kinesiology doctoral programs and supporting student success.