Introduction to Stata for the Behavioral Sciences Seminar

Stata Statistics Seminar Paddington London

A comprehensive 3-day Stats Camp seminar introducing Stata for the Behavioral Sciences.

Overview: Stata makes it easy to perform ALL of the data management tasks and statistical analyses that a behavioral science researcher needs! In this introductory seminar, you will learn how to clean and manipulate data, compute descriptive statistics, and fit models from simple linear regression to multilevel and structural equation models. This seminar is a combination of lecture and computer workshops with provided datasets.

Topics Include:

  • Data Management
  • Descriptive Statistics
  • Linear Regression
  • Multilevel/Longitudinal Modeling
  • Structural Equation Modeling
  • Basic Bayesian Analysis

Seminar Audience: This seminar is intended for students, faculty, and researchers with an undergraduate-level background in applied statistics.  Prior experience with Stata, multilevel/longitudinal modeling, SEM, and Bayesian analysis is useful but not necessary.

London Stats Camp: October 18 – 20, 2019
Hilton Paddington London

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Payment Options

Seminar Venue: Hilton Paddington London
146 Praed Street, London, W2 1EE, United Kingdom
Maps and Directions
TEL: +44-207-850-0500 FAX: +44-207-850-0600

Book your room online individually on the dates required and at best available rates online. No group code is required.


Hilton Website

Heathrow is the closest transit and there is a Heathrow Express train that goes from the airport to the Paddington station which is where the Hilton is located.

Lunch and drinks including coffee, tea, and water will be provided daily. 

Question? Please contact us for more info or visit our FAQ page.

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:
$1,295 Faculty/Professional or
$945 Student/Post-Doc


Please select from our current fall course list

Learning Objectives

This comprehensive 3-day statistics training institute on Stata will enable participants to:

  • Effectively use the Stata interface including the data editor, do-file editor, help files, and PDF documentation
  • Import and export data with Stata
  • Perform common data management tasks including merging and appending datasets; creating and labeling variables; and identifying and handling unusual values
  • Compute descriptive statistics, tables and create graphs
  • Compute inferential statistics such as Student’s t-test, Pearson chi-squared tests, and Fisher’s exact test
  • Compute effect sizes with confidence intervals such as Cohen’s d, Hedge’s g, Glass’ delta, and point-biserial correlation
  • Fit oneway and factorial ANOVA models, test for main effects and interactions, compute contrasts, pairwise comparisons and effect sizes, and create profile plots
  • Conduct regression analysis, check model assumptions and residuals, calculate marginal predictions, and graph the results.
  • Fit models for multilevel and longitudinal data using Stata
  • Learn the basics of Bayesian statistics using Stataís Bayes prefix to fit regression models
  • Fit Bayesian multilevel/longitudinal models using Stataís Bayes prefix
  • Perform basic structural equation modeling using Stata’s SEM Builder and syntax
  • Learn more about in other advanced modeling features that Stata provides such as multiple imputation, item response theory, latent class analysis, and finite mixture modeling


FridayOctober 18, 2019
9:00-9:30Welcome and introductions
9:30-10:45Introduction to the Stata Interface
10:45-11:00Snack and refreshments break
11:00-12:30Data Management
12:30-13:30Lunch break
13:30-15:00Basic Descriptive and Inferential Statistics
15:00-15:15Snack and refreshments break
15:15-17:00ANOVA and Regression
15:15-17:00Social “hour” for Hilton hotel guests
SaturdayOctober 19, 2019
9:00-10:45Introduction to Multilevel/Longitudinal Modeling
10:45-11:00Snack and refreshments break
11:00-12:30More Multilevel/Longitudinal Modeling
12:30-13:30Lunch break
13:30-15:00Introduction to Bayesian analysis
15:00-15:15Snack and refreshments break
15:15-17:00Introduction to Bayesian Multilevel/Longitudinal Modeling
SundayOctober 20, 2019
9:00-10:45Introduction to Structural Equation Modeling
10:45-11:00Snack and refreshments break
11:00-12:30Applications of Structural Equation Modeling
12:30-13:30Lunch break
13:30-17:00Tour of Advanced Features and One-on-one Consultations with Instructor

Instructor: Chuck Huber Ph.D.

Chuck Huber is a Senior Statistician at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at universities and conferences around the world. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. Dr. Huber was previously a tenured associate professor at Texas A&M and published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects. He currently teaches introductory biostatistics at Texas A&M where he previously taught categorical data analysis, survey data analysis, and statistical genetics.

Seminar Prerequisites

  • Required: Basic understanding of applied statistics and regression analysis
  • Not required but advantageous: Experience with Stata, multilevel modeling, and/or structural equation modeling

Software and Computer Support

Participants must bring their own laptop computer with Wi-Fi capabilities. Having the latest version of Stata installed is strongly recommended, but not required. If you don’t have a copy of Stata 15, a temporary license will be provided for you before the seminar begins.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Seminar Files

Links to seminar files for those who enrolled in the seminar will be emailed on the first day of class. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Recommended Reading

There are no required readings for this seminar. Depending on the type of analyses you are interested in, the following books may be of interest. They cover topics we discuss in this three-day couse in more detail.

  • A Gentle Introduction to Stata, 5th Ed. By Alan Acock
  • Data Management Using Stata: A Practical Handbook by Michael Mitchell
  • Interpreting and Visualizing Regression Models Using Stata by Michael Mitchell
  • Stata for the Behavioral Sciences by Michael Mitchell
  • Multilevel and Longitudinal Modeling Using Stata, 3rd Ed. by Sophia Rabe-Hesketh and Anders Skrondal
    • Volume I: Continuous Responses
    • Volume II: Categorical Responses, Counts, and Survival
  • Discovering Structural Equation Modeling Using Stata, Revised Edition by Alan Acock

Seminar Certificate

Upon completion of the seminar you may request an official Stats Camp print-ready PDF certificate.  Please contact us here to request a digital copy.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources