Facilities & Resources

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The Office of Research and Scholarship (ORS), located on third floor of the Victoria Building (VB) housing the School of Nursing, was originally established in 1987 to help meet the growing commitment of the University of Pittsburgh School of Nursing to research.

The Associate Dean for the Office of Research and Scholarship is Dr. Yvette Conley, PhD, FAAN. The ORS also houses Statistical and Data Support Services. The Director and senior statistician is Dr. Dianxu Ren who provides consultation for methodological and statistical issues for research projects. The ORS has additional PhD prepared faculty statisticians, Dr. Susan Sereika, Dr. Paul Scott, and other staff who facilitate data processing.

The combined statistical expertise of these individuals covers observational, quasi-experimental, and experimental designs; exploratory data analysis; data visualization; data mining; nonparametric statistics; multivariate general linear models (e.g., regression, analysis of variance [ANOVA] and covariance [ANCOVA]); generalized linear models (e.g., Poisson regression, logistic regression); model diagnostics; longitudinal data analysis (e.g., repeated measures ANOVA, linear and nonlinear mixed effects models, marginal models via GEE methods, hierarchical models); time-to-event/survival analysis; structural equation modeling (e.g., path analysis, factor analysis, latent variable modeling) and psychometric statistics. The statisticians in the ORS provide an array of research related services including methodological consultation on research project development and statistical consultation for the analysis of data.

Each faculty statistician also works and mentors BSN-Honors, PhD and DNP students as they develop the data management and statistical analyses sections of their theses, dissertations and projects, respectively. ORS faculty statisticians also have open office hours weekly for any student conducting research to provide statistical consultation. Additionally, the ORS provides form design, data entry and verification, programming, and data management as fee-for-service. A research data specialist supports the design and implementation of paper-and-pencil, computer-based and web-based data collection forms using site-licensed Qualtrics™ and REDCap. A full-time systems analyst/data manager designs and maintains databases for complex projects and oversees the data stored in Oracle database on the servers at the University Network Operating Center. The ORS systems analyst/data manager also provides direct support and oversight for funded projects as fee-for-service, and consultation to the individual study data managers at no charge. A staff administrator provides overall ORS staff coordination, while a full-time administrative assistant provides receptionist and secretarial support and scheduling for the Clinical Research Suite. Editorial support is available to faculty for grant writing as a supplement to that available through Office of the Research, Health Sciences and as fee for service for manuscript writing.

The ORS also maintains computers with various peripheral devices in the SON small and large computer labs for use by research staff and students including 6 Dell Pentium-class computers running Windows 10; a black and white HP LaserJet Printer, a Dell laser color printer, and 2 flatbed scanners (with document feeders) are also available and locally networked. Two additional Fujitsu scanners are dedicated to support data entry via optical scanning. These lab computers contain the current versions of the major statistical software packages (e.g., SAS, SPSS, Stata, and R). Specialty statistical packages are also accessible in the lab, including Mplus, LISREL, EQS, and AMOS for structural equation modeling; HLM for hierarchical modeling; StatXact and LogXact for discrete data analyses requiring exact estimation methods; SOLAS for missing data description and imputation; and PASS for sample size estimation and power analysis.

Popular qualitative analysis software packages are also available, including ATLAS.ti. Oracle, Access and Excel are available for data management. TELEform is available for data entry and validation of large data sets requiring scannable paper-and-pencil data collection forms. In addition to the computers in the SON computer labs supported by the HSIT, the ORS statisticians each have Dell Pentium class desktop and laptop computers (minimum 3.60 GHz, 64 RAM, 500GB HD) for statistical computing and statistical analysis.