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Faculty Activity - Research Interests
Mathematics in Informal Learning Sites
Early Number Sense
The Practice of Student Affairs
I am interested in how college administrators (particularly student affairs professionals) become scholar-practitioners in order to foster better student outcomes.
College Student Success
I am interested in how higher education policies, places, people, and programs influence college student retention, engagement, achievement, and learning.
The Study of Talent
I am interested in talent from a research perspective: how we define talent, where it comes from, and what we can do to help others develop their own talent.
Academic Affairs & Student Affairs Collaborations
I am interested in how divisions of academic affairs and student affairs can collaborate to foster a more transformational educational experience for college students. Examples of such partnerships include living-learning programs, residential colleges, and faculty-in-residence.
Professional Development for Mathematics Teachers
Mathematics Education; Teaching & Learning Mathematics
Infancy/Early Childhood and Language
Early lifespan studies of environmental variables, including parenting, resources and other contextual influences that promote language and literacy.
US & Multicultural Studies
US and multicultural studies of marginalized, under-researched children and families and their educational experiences and outcomes.
Classification, generally, refers to the process of simplifying data by grouping observations that have similarities together. There are many applications of classification in educational and psychological research, and there are many ways to perform classification. My research in this area focuses on the latent variable, or model-based, approach to classification.
Latent Variable Models
Latent variable models involve the examination of one or more theorized but directly unobservable variables, such as ability, intelligence, or achievement. A latent variable cannot itself be directly measured, but instruments may be developed that allow one to observe the manifestation of the latent variable. Models that include one or more latent variables require complex mathematical computation to allow researchers to make decisions from the manifestations of the latent variable. My research in this area is related to the accurate estimation of relationships between latent and observed variables.
Psychometrics generally refers to the measurement of psychological phenomena and involves the application of advanced statistical techniques to psychological instruments. My research in this area focuses on providing validity evidence of existing instruments and exploring applications of existing psychometric ideas and models to new measurement scenarios. Ultimately, my research in psychometrics focuses on reaching correct conclusions about the existence and nature of psychological phenomena of interest.