Using ATI Data to Make Informed Decisions

Using ATI Data to Make Informed Decisions

In this session, we will discuss current research examining the use of ATI products and their impact on student, faculty and nursing program outcomes. For example, we will discuss the atiSECURED research study evaluating the score comparability between traditional computer based testing and iPad testing across a variety of different item types.

We will also discuss research examining the use of the Nurse’s Touch program and how it helps to improve the probability of passing the NCLEX-RN.

Lastly, we will discuss research examining the ATI TEAS Sub-score Compensation: How much is too much?


Ye Lin, PhD

Ye Lin, PhD, received her doctorate in Educational Measurement and Statistics from the University of Iowa in 2018. She uses a variety of statistical and measurement models to conduct research in the fields of nursing education and K-12 education. She also leads psychometric discussions about product development design including equating, guiding learning product instructional designs, simulation scenario scoring, and scoring development of complex item types. Her research projects include investigating multidimensional item response theory, innovative item scoring, mode and device comparability, structural equation modeling, and computer adaptive testing. She has also served as a reviewer for professional conferences to assess the quality of research in psychometrics and provide feedbacks.

Tony Juve, PhD

Tony Juve earned his PhD in educational psychology with an emphasis on measurement, assessment and statistics from the University of Missouri-Columbia. He joined the ATI Psychometrics team in 2008 and currently conducts research to support the technical integrity of Ascend Learning assessment products. Tony also teaches statistics in the graduate program at Mid America Nazarene University. In his free time he enjoys painting and fly fishing. His published work includes: Juve, T., Sommer, S., Kane, J., Grinyer, J. (2018). Use of the ATI Testing Policy and Its Impact on Nursing Program Outcomes. Leawood, KS: ATI Nursing. Juve, T., Kane, J., Grinyer, J., Sommer, S. (2017). ATI’s Product Use Case Study: Using educational nursing products to achieve strong outcomes. Leawood, KS: ATI Nursing. Wolkowitz, A., Juve, J. A., Scaruto, M., & Barnes, J. (2010). Learning strategies: Your guide to classroom and test-taking success. Leawood, KS: ATI Nursing. Juve, J. A. (2008). Testing and assessment. In S. F. Davis and W. Buskist (Eds.), 21st Century Psychology: A Reference Handbook (pp. 383-391). London: Sage. Juve, J. A. (2006). Test construction. In S. F. Davis and W. Buskist (Eds.), Handbook of the teaching of psychology (pp. 247-253). Boston: Blackwell Publishing. Juve, J. A. (2005). An Introduction to Statistics and Research Methods: Becoming a Psychological Detective. New Jersey: Prentice Hall.

Dr. Michelle Dunham

Dr. Michelle Dunham is the Senior Research Scientist at Assessment Technologies Institute. As a specialist in educational research and measurement, Dr. Dunham has over 12 years’ experience publishing and presenting in the fields of nursing education and K-12 education. Dr. Dunham has played a key role in the development of assessments, tutorials, and predictive models that have improved hundreds of thousands of nursing students’ academic & professional careers. Dr. Dunham has authored and presented multiple nursing student education research studies and has directly consulted on research design, data analysis, and interpretation of findings for over 150 faculty or graduate nursing students using ATI data in their research.

Lucia Xin Liu, Ph.D.

Dr. Liu is a seasoned psychometrician, statistician, and researcher in nursing education assessment.

She is the author of numerous peer-reviewed publications and presentations on issues related to nursing

assessment. During her decade-long career in an operational and research position, Dr. Liu has provided psychometric and statistical consultation on research design and analysis scope to internal and external clients, many of whom are university and college professors. Her amiable teamwork approach and insightful statistical skills have made her a highly sought partner on research studies and publications, some of which have been submitted to and published on leading journals such as Journal of Nursing Education or Nurse Educator. She has over 10 years of hands-on experiences in cutting-edge statistical analysis, modeling, and data manipulation.