The Research Design and Analysis (RDA) Unit provides collaborative services and resources for proposal development, data analysis, data management, and graphical design to associated investigators with the goal of enhancing the validity, rigor, and impact of their research.
The RDA unit employs three PhD statisticians to assist in research proposal development, including guidance on hypothesis development, study design, sample size determination, appropriate measurement techniques, and data analysis planning. These scientists also can assist researchers in conducting advanced statistical analyses and disseminating the results of these analyses. Our quantitative scientists include:
Dr. Kandace Fleming (firstname.lastname@example.org) received her Ph.D. in Educational Psychology and Research from the University of Kansas in 1998 . She is currently an Associate Scientist; as General Director is responsible for the day-to-day operation of the RDA Unit. Dr. Fleming has expertise in multilevel and longitudinal analyses, single-subject and small sample statistical techniques, measurement, and instrument development. She is fluent in several statistical packages (e.g., SPSS, SAS, and Mplus). Her recent projects have focused on developing a communication complexity scale to be used as an outcome measure in clinical trials; the longitudinal analysis of adaptive, communicative, and problem behavior of children with FXS over a ten year period; and the analyses examining the relationship between maltreatment and behavioral outcomes for children in foster care. She has served as Co-PI, Co-I, or consultant as the quantitative methodologist on numerous funded projects from NIH and IES in the areas of communication, educational interventions, and individuals with disabilities.
Dr. Lesa Hoffman (email@example.com) received her Ph.D. in Psychology at the University of Kansas in 2003. In Fall 2014 Dr. Hoffman joined the RDA as Associate Scientist and as Associate Professor of Quantitative Methods. Her program of research seeks to empirically examine and to thoughtfully disseminate how developments in quantitative psychology can best be utilized to advance empirical work in psychology, human development, and other social sciences. She has expertise in multilevel and longitudinal analyses, generalized linear models, and latent variable models, including confirmtatory factor models, item response models, diagnostic classification models, and structural equation modeling. She is fluent in several statistical packages (e.g., SPSS, SAS, STATA, and Mplus). Her recent projects have focused on the measurement of visual attention in older adults, the methodological barriers to examining longitudinal changes in cognition, and innovative applications of multilevel modeling for within-person experimental designs. She has received support from NIH and NSF as a PI, Co-I, and consultant. She is the sole author of a forthcoming textbook on longitudinal models and a member of the Society for Multivariate Experimental Psychology.
Dr. Rebecca E. Swinburne Romine (firstname.lastname@example.org) received her PhD in Quantitative Methods in Educational Psychology from the University of Minnesota in 2011 and joined the RDA as an Assistant Research Professor in October 2012. Dr. Swinburne Romine has expertise in a variety of statistical models including hierarchical linear models, logistic regression, Confirmatory Factor Analyses, Cox regressions, and Profile Analysis. She is fluent in SPSS, is rapidly approaching fluency in MPlus and SAS, and is familiar with AM, Lisrel, and AMOS. She also has expertise with many types of study designs, including cross-sectional, longitudinal, RCT, and observational designs. Her current projects include the development of models for a large longitudinal study of children in fostercare drawing from multiple reporters; development of an instrument to assess early communication; evaluation of a multisite intervention project using partner organizations to improve outcomes for individuals with Type II Diabetes; and a study using cell phones to help elucidate the relationship between mood, mental health, and high risk sexual behaviors.
The RDA unit's data management specialist is Lisa Hallberg (email@example.com). She has over 15 years of programming experience in both academia and the private sector. She develops customized data collection and retrieval methodology for novel or existing instruments, including web-based forms, paper forms that use optical capture software to input data, and programs to validate data accuracy, automate scoring, and extract data. The RDA also provides secure data storage by hosting and managing a HIPAA-compliant, encrypted, secure web server for online data collection and a HIPAA-compliant database server for data storage. RDA's servers are securely housed in the University of Kansas' central IT Services, including redundant backups, both physical and firewall-based security, regular security audits and disaster recovery plans.
The RDA unit's graphic design specialist is Chris Lorenzen (firstname.lastname@example.org). Chris works with LSI researchers to design and print over 200 conference posters every year in either traditional paper foramt or on cloth (for easier transport and greater durability). He also helps LSI personnel develop a broad range of marketing materials including logos, brochures, flyers, annual reports, and PowerPoint presentations. Chris is also available to help train or offer guidance in many of the common software packages related to graphic design, including Adobe, Illustrator, InDesign, Photoshop, and Acrobat, as well as Microsoft Word, PowerPoint, Publisher, and Visio.