, ,

Outline for Advanced Stata Workshop

STATA logo

On Friday, October 2nd, CTRL is offering it’s first ever all-day Stata training event. The workshop will go from 10:20 am to 4:45pm, with a light lunch served in the early afternoon. The full agenda for the workshop is below. Attendees do not need to be present for the entire time.

To register and see the other workshops we offer, go to


Session 1: 10:20 -11:20 am

  • Stata basics
    • Hands-on demonstration
    • Exercise 1.1
  • Data management
    • Hands-on demonstration
    • Exercise 1.2
  • Workflow – Hands-on demonstration
  • OLS Regression Analysis
    • Hands-on demonstration
    • Exercise 1.3

Break: 11:20 – 11:30 am

Session 2: 11:30 am – 12:30 pm

  • Discrete Choice Regression Analysis
    • Hands-on demonstration
    • Exercise 2.1
  • Multinomial Regression Analysis
    • Hands-on demonstration
    • Exercise 2.2

Light Lunch: 12:30– 1:00 pm

Session 3: 1:00 -2:15 pm

  • Time Series Regression Analysis
    • Hands-on demonstration
    • Exercise 3.1.
  • Panel Data Regression Analysis
    • Hands-on demonstration
    • Exercise 3.2

Break: 2:15 – 2:25 pm

Session 4: 2:25 – 3:50 pm

  • Survey Data, Systems of Linear Regressions, GLS/FGLS/WLS
    • Hands-on demonstration
    • Exercise 3.2
  • Stata Tips and Tricks
    • Hands-on demonstration
  • Stata Programing (Simulation & Matrix)
    • Hands-on demonstration

Session 5: Question and Answers Opportunities will Follow as Desired until 5 pm



, ,

New for Fall 2015! Half-day and full-day Advanced Software Training

RSG Logos

New! CTRL’s Research Support Group is offering extended software training sessions. For Fall 2015, we are offering full-day training in Stata and R, and half-day training in Qualtrics and NVivo. The full-day training sessions will include a light lunch.

Full descriptions for the workshops are below. If you are interested in registering to attend these, or any of our introductory or intermediate level software trainings, please register at the CTRL website:


Use of Stata for Data Management, Analysis, and Visualization
Friday, October 2nd, 10:20 am – 3:50 pm (Light lunch will be provided)
This one-day workshop offers opportunity to users, who already have some familiarity with this statistical application, to learn about a variety of advanced topics and improve their grasp on utilizing the potential of the software. Selected content will include, but is not limited to, programming with Mata, simulations, structural breaks, time series and panel data, discrete choice models, and tips and tricks in coding. Following a brief refresher on introductory aspects of Stata, the workshop will consist of about one hour allocations to discuss the topics listed above. Emphasis will be given to the coding component of working with the program and not so much to the underlying theoretical econometric principles. Register here.

Use of Qualtrics and SPSS for Survey Research and Data Analysis
Thursday, October 8th, 1:10 pm -5:15 pm
Qualtrics is a professional-level online survey software available to all AU faculty, staff, and students, and is frequently used by faculty in both research and teaching contexts. Attendees will learn the basics of online survey creation, as well as advanced methods for organizing and distributing surveys. After working on survey creation, we will explore the data analysis functions internal to Qualtrics, and show how to export survey results to SPSS and perform more sophisticated multivariate data analyses and visualization. Register here.

Use of NVivo for Qualitative Research
Thursday, October 15th, 1:10 pm – 5:15 pm
NVivo is a software tool for undertaking qualitative research that is available to all members of the AU community. We can install it on personal computers and it is also available through the Virtual Computer Lab. We plan on showing some of the basic features of NVivo in importing materials and analysis of them, but want this training to be a working session where participants bring their own qualitative data (text, audio, or video) and actually work on a project. Because there are so many different types of qualitative approaches, we want those attending to come with their own methods in mind and data particular to exploring a relevant research topic. We invite those who are thinking of attending to come by the CTRL Research Lab and get the software installed on their computer prior to the session. We can also advise on proper formatting of documents so they are easy to import into NVivo. Register here.

Use of R for Data Management, Analysis, and Visualization
Friday, November 13th, 10:20 am – 3:50 pm (Light lunch will be provided)
This is a half-day course that guides participants through the fundamentals of using R software for a typical data analysis process. Participants will learn the basics of reading data, descriptive statistics, data visualization, data analysis, and presentation of analytical results. In addition to the fundamentals, faculty may opt to learn some advanced use R techniques, such as time series, panel data, survival regression analysis, as well as utilization of R for text mining, parallel computing, visualization and analysis. Register here.




Are you still trying to decide which statistical package to use for your research project? Take a quick tip from one of our consultants to help make your decision:

These are some of the pros and cons of using SPSS or Stata for your research analyses.


SPSS is good for managing basic datasets and if you are not going to do cutting-edge statistical analysis.  Its biggest advantage is that it is user friendly because its layout is so much like the familiar Excel spreadsheet.

Although both SPSS and Stata have a menu-driven option, the point and click menus in SPSS are the easiest to learn. You could say that SPSS has moved away from an academic research focus and seems to invest more of its development in marketing-oriented graphics. Many NGO’s, banks and related type entities would most likely not use SPSS for their work and would choose Stata over it.

SPSS’s graphics are very professional and they look appealing. The great thing about graphics generated on SPSS is that you can edit them as you please (colors, labels, size, etc).

SPSS screenshot


This program is widely used in NGO’s, banks and many other organizations that require data analysis. It is best for complex statistical analyses. Unlike SPSS’s “drop-down menu” feature, Stata tends to be more “command-based”.

The first window you encounter will not be the friendly table layout that you may be used to seeing in Excel. The layout may catch you by surprise, but once you get used to what each window tells you, it becomes fairly easy to use. It has a command window in which you can type exactly what you want to do (i.e. for a regression between two variables named “infmort” and “doctors” you would type: “reg infmort doctors”, hit Enter and your regression analysis pops up).  It is very intuitive and produces very professional output tables.

Stata screenshot

If you can’t decide which program to use for your analysis, consider even using both.  As always, ask a consultant for help if you need further assistance!