Nina Capone Singleton Uses Research Data Services to Help Write a Rebuttal to Publish an Article

Nina Capone Singleton, PhD is the Interim Program Director for the Bachelor of Science in Interprofessional Health Sciences and Associate Professor for Speech-Language Pathology in School of Health of Medical Sciences, at Seton Hall University. Dr. Capone Singleton, who has over 25 years of experience in speech-language pathology, is a highly respected expert in her field. She has worked extensively in clinical settings, providing speech-language therapy to patients with various speech, language and feeding disorders, as well as publishing scholarly articles and a textbook.  

Dr. Capone Singleton published her most recent article with the help of Seton Hall University’s Data Services Team. The experiment showed that when preschoolers learn about objects, it strengthens learning the word if they pay special attention to the shape of the object. Between the 2 conditions, if she highlighted the shape as important while teaching the word, children were able to name that object later and generalize the name to novel objects they hadn’t seen. Children also remembered more sounds in the word, so the children had fewer errors saying the word in future tests. Their learning was stronger in that condition than in the control condition.  

During the article review process, Dr. Capone Singleton collaborated with Data Services while running an analysis in the statistical software SPSS and interpreting the results. She commented that Data Services worked in a timely and efficient manner. Additionally, Data Services helped her with initial feedback on the article to get it ready for publication. Dr. Capone Singleton enjoyed working with Data Services and would recommend Data Services to others for an extra set of eyes when working with data.  

What is Love Data Week

Love Data Week is a global event that aims to raise awareness about the importance of data across various industries and highlight the significance of building a culture that values data. The week-long event is celebrated every year during the second week of February. The main objective of Love Data Week is to promote the responsible use and management of data

Love Data Week offers webinars, workshops, and data-themed games, focusing on topics such as data sharing, data management, data privacy, and data security. These events allow participants to learn about the latest trends and techniques in data and network with industry experts. The event is open to anyone interested in data, regardless of their background.  

Love Data Week is an essential initiative that helps promote data literacy and encourage data-driven decision-making across all sectors. With data playing an increasingly crucial role in today’s world, events like Love Data Week are more important than ever before. 

For more information about data resources at SHU, please visit:  

Seton Hall University’s Data Services: A Hub of Technological Advancement

One of the key departments that has been driving the technology-driven growth at Seton Hall is the Data Services Department. The department is responsible for managing the vast amounts of data generated and consumed by different departments across the campus. The program is designed to help faculty, students, and staff make the most of their data by providing access to powerful tools and expertise in data analysis and visualization.

The Data Services Department offers a range of services and resources to the university community, including database management, data visualization tools, data integration, data retrieval, and data analysis. The university’s Data Services team is also committed to providing training and outreach to support the growth of data literacy on campus. This includes workshops and seminars on topics such as data management, statistical analysis, and best practices for data visualization.

The Data Services Department at Seton Hall University is a hub of technological advancement and innovation, providing essential services and resources to the university community. As we move towards a more data-driven future, the department’s role in supporting research, scholarship, and decision-making will continue to grow in importance.

For more information about data resources at SHU, please visit: