The Statistics, Measurement, And Research design Techniques in Educational Research (SMARTER) consulting office provides support for College of Education faculty and graduate students’ research design and quantitative analysis needs. We can help by discussing any aspect of a quantitative study, from the specific, such as choosing a statistical model to address a research question, interpreting the results of an analysis, conducting a power analysis, or suggesting or critiquing a research design, to the general, such as assisting with formulation of research questions and statistical hypotheses or serving as a sounding board for research ideas.
For college faculty, we offer one-hour meetings with Adam Sales to consult about SMARTER issues and questions. Faculty consulting meetings are held in Adam Sales' office, SZB 536C.
For college graduate students, we offer half-hour meetings with Quantitative Methods Ph.D. student Daniel Gonzalez. Note that we do not provide SMARTER consulting to support graduate students’ class assignments. All student consulting meetings are held in SZB 536-537.
We will endeavor to answer short questions about quantitative methods, statistics, and research design by email within two working days. Note that questions deemed too methodologically complex may be referred to an in-person consultation. Please email your question to email@example.com.
Data Analysis Tutorial Meetings
We offer one-hour meetings that are free to all College of Education graduate students to help apply advanced statistical methods to your data.
- Start with one or more 30-minute consulting appointments to discuss the research question and data analysis plan, and decide on an appropriate statistical method.
- Schedule a 1-hour data analysis tutorial appointment with the GRA to conduct some of the data analysis. You will provide the dataset to the GRA at the time of the meeting. The goal will be for you to understand the method and be able to expand or modify the analysis with minimal additional help. The GRA will provide you with any code from the meeting.
- After the tutorial meeting, you may request additional help via email or a followup 30-minute consulting meeting.
We are experts in most common techniques in quantitative education research and in the R and Mplus statistical software packages. Advanced analyses will be conducted under Sales' supervision. GRAs will not write up the analysis, though they will review and comment on a write-up. They will not help with qualifying exams or papers. GRAs need at least a week between an initial consulting appointment and a data analysis tutorial to allow for preparation. In times of high demand, students may be limited to one analysis appointment or follow-up appointment. Please acknowledge GRAs with co-authorship, when appropriate, in resulting publications.
Grant Proposal Preparation
We will conduct and write up power analyses and will help with designing and writing up of the research plan (data analysis, sampling, psychometric plan, etc.).
While this service is free for grant proposals, we request that the SMARTER group (or affiliated consultants) be included as consultants or Co-investigators on the grant should the proposal be funded. This is necessary to ensure that the SMARTER group becomes financially self-sustaining. Please book a meeting using the relevant faculty and student appointment links.
Data Analysis and Collaboration
For more involved participation in a research project, such as for performing actual data analyses, a SMARTER consultant can be included as a co-investigator or co-principal investigator on a grant proposal or can work on contract with a per-hour fee. Please book a meeting or email us at firstname.lastname@example.org if you would like to discuss this further.
The SMARTER consulting staff conducts workshops on quantitative methods for education research. Fall workshops will be announced soon.
Adam Sales, Ph.D.
Adam is the lead statistician in the SMARTER group. He received a Ph.D. in statistics from the University of Michigan and was a post-doctoral fellow in interdisciplinary education research in the Carnegie Mellon Statistics Department and the RAND Corporation. His research focuses on quantitative methods for education sciences, and in particular natural/quasi-experiments, multilevel modeling, mediation analysis, and educational data mining. Schedule an appointment.
Daniel Peche Gonzalez
Daniel is an assistant statistician in the SMARTER group and holds consulting meetings with graduate students. He received his Bachelor's in Mathematics from St. Mary's University in San Antonio and his Master's in Statistics from the University of Texas at Austin. He is currently pursuing his doctoral degree in Educational Psychology with an emphasis in Quantitative Methods. His research interests include longitudinal growth models, procedures to account for measurement error, particularly in the Structural Equation Modeling framework, and Item Response Theory models.