Data Analysis Lab – 519 Baldy Hall

Located in 519 Baldy Hall, the Data Analysis Lab offers free statistical assistance with issues related to quantitative research design, measurement, and statistical data analysis. Students, faculty, and staff within the Graduate School of Education seeking help with course assignments and research projects are encouraged to make use of the lab.

No appointment is necessary for walk-in hours. Lab assistants may also be available by appointment (contact via email below). Your questions, comments, and suggestions regarding the lab are always welcome.

Phone:
716-645-4052
Lab Director:
Jeremy Finn, PhD
finn@buffalo.edu
Lab Assistants:
Taeyoung Kim: tkim33@buffalo.edu
Yichen Zhao: yichenzh@buffalo.edu

Lab Hours

Fall 2017 Office Hours
Monday: 10 a.m. – 3 p.m.
Tuesday: 12 p.m. – 5 p.m.
Wednesday: 9:30 a.m. – 2:30 p.m.
Thursday: 11 a.m. – 4 p.m.

Consultation May Involve

  • explaining statistical concepts and procedures
  • assistance with homework or assignments
  • assistance with manual or computer calculations
  • help with collecting, analyzing, and interpreting data
  • assistance in statistical research and evaluation design
  • answering questions regarding SPSS or other statistical analysis software

If seeking advice on dissertations or master's thesis, please coordinate your work in the lab with your supervising faculty.


Research and Data Analysis Resources

Do you have questions about the data analysis or research process? Look below for a collection of useful resources for University at Buffalo students.

  1. Basic Statistics – formulas
  2. Publicly Available Data – data repositories and resources
  3. Designing a Study –existing surveys/instruments, sample size & power, types of analysis, online statistical analysis resources, other topics
  4. Conducting Data Analysis – data analysis software, locations with software at UB, software tutorials, training & support
  5. Writing a Research Paper – 6th edition of APA style, managing references

A. Basic Statistics

Statistical Formulas:


B. Publicly Available Data


C. Designing A Study

Existing Surveys/Instruments:

Sample Size Calculation and Power Analysis:

Types of Analysis:

Other Topics:


D. Conducting Data Analysis

Data Analysis/Management Software:
Free Programs:

  • R
  • AM (for analyzing complex samples)
  • Lisrael (for structural equation modeling) - student edition
  • HLM (for hierarchical linear modeling) - student edition
  • Amos (for structural equation modeling) - student version

Available at UB North Campus:

  • SAS
  • SPSS
  • AM (for analyzing complex samples)
  • HLM (for hierarchical linear modeling)
  • Multivariance (for multivariate analysis)
  • ArcGIS (for GIS mapping and spatial analysis)

*Web pages that perform statistical calculations – StatPages.org

Locations on UB North Campus with Data Analysis/Management Software on Computers:

Locations SPSS SAS R HLM1 Multivariance ArcGIS AM
Capen 1st floor Cybrary checkmark         checkmark  
Capen 3rd floor Cybrary checkmark         checkmark  
Lockwood 2nd floor Cybrary checkmark         checkmark  
Lockwood 3rd floor Cybrary checkmark         checkmark  
Baldy 14a* checkmark            
Baldy 200c* checkmark checkmark   checkmark checkmark   checkmark
Remotely via UB Virtual Computing Lab checkmark         checkmark  
Remotely via UBUnix   checkmark checkmark        
1 Student edition
* GSE Lab Classrooms -- not open for public use. All GSE graduate students may request access.

Data Analysis Software Tutorials:
UCLA: Statistical Consulting Classes and Workshops – Covers: Stata, SAS, SPSS, Mplus and Latent Variable Analysis, R, SUDAN, Latent GOLD, Statistica, Mplus, HLM, and Power Analysis

Data Analysis Training and Support:


E. Writing A Research Paper

6th Edition of APA Style:

Managing References:

  • Endnote: Commercial reference management software package designed to manage bibliographies and references. Can be downloaded for free by students and faculty from the Library.
  • Son of Citation Machine: An online tool that creates appropriate in-text and bibliographic citations in MLA, APA, Turabian, and Chicago styles.