Relationships Among DNP and PhD Students After Implementing a Doctoral Student Organization

Jasmine L Travers1, Marjorie Weis, Jacqueline A Merrill

  • 1About the Authors Jasmine L. Travers, PhD, RN, is a postdoctoral fellow, NewCourtland Center for Transitions and Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania. Marjorie Weis, DNP, MPH, RN, is an assistant professor of clinical nursing, Columbia University School of Nursing, New York, New York and Nurse Practitioner Specialist at Memorial Sloan Kettering Cancer Center. Jacqueline A. Merrill, PhD, MPH, RN, FAAN, FACMI, is a professor, Columbia University School of Nursing. The authors thank Drs. Arlene Smaldone and Susan Doyle-Lindrud along with Ms. Judith Kelson and the Office of Student Activities for their help with data acquisition. At the time of this study, Drs. Travers and Weis were supported by an award from the Jonas Center for Nursing and Veterans Healthcare. Dr. Travers was also supported by an award from the National Institute of Nursing Research (NINR; R01NR013687) and is currently supported by an award from the NINR (5 T32 NR009356-07). Dr. Weis was also funded in part through the Memorial Sloan Kettering Cancer Center Support Grant/Core Grant (P30 CA008748). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Jonas Center for Nursing and Veterans Healthcare, the National Institutes of Health, or Memorial Sloan Kettering. For more information, contact Dr. Travers at jatr@upenn.edu.

Summary

Establishing a doctoral student organization fostered collaboration between Doctor of Nursing Practice (DNP) and PhD nursing students. This initiative enhanced intradisciplinary connections and communication, promoting research and practice synergies.

Related Concept Videos

Student t Distribution01:31

Student t Distribution

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...
14.2K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

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...
1.7K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

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...
6.1K
Relationship Formation02:12

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
46.3K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
7.0K
Ending Relationships01:28

Ending Relationships

The dissolution of intimate relationships presents complex emotional and psychological challenges, particularly when emotional bonds are strong, the relationship is long-standing, and perceived alternatives are limited. This distress often intensifies in romantic breakups, where the initiator may experience greater turmoil than the rejected partner. Contributing factors include residual attachment, guilt over causing pain, and uncertainty about how to manage the situation. The stress is further...
201