Applied statistics using STATA in Cambridge

2 – 4 AUGUST 2021

This course will now take place online

The Course and Teacher

Mehmetoglu-Mehmet-farger_imagelargeThe course will be taught by Mehmet Mehmetoglu, who is a Professor of Research Methods in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research interests include consumer psychology, evolutionary psychology and statistical methods. Mehmet has developed several Stata packages including MEDSEM, a special Stata package for statistical mediation analysis. He has also written the book “Applied Statistics Using Stata: A Guide for the Social Sciences“, together with Tor Georg Jakobsen.

The course will welcome you with a goody-bag that includes copies of the slides, the Stata models and code, as well as electronic access to the book “Applied Statistics Using Stata: A Guide for the Social Sciences“, co-authored by Mehmet. You will need a computer with Stata version 16  (or 15).

This is an introductory course, so no prior knowledge is required. When the course is finished, you will:

  • have a solid understanding of how to use linear regression for analysing different types of data.
  • have a very good knowledge of related Stata commands and user-written packages.
  • be able to use linear regression to learn several other related techniques (e.g., SEM).

Is this the first time you will be using Stata? Then this course is for you! The course will include an introduction to Stata and will then cover a further 6 topics that make up the building blocks for a wide variety of analyses:

 

 

Simple linear regression

Simple linear regression

Multiple linear regression

Multiple linear regression

Dummy-variable regression (t-test, ANOVA/ANCOVA)

Dummy-variable regression (t-test, ANOVA/ANCOVA)

Interaction/moderation analysis (Factorial ANOVA and ANCOVA)

Interaction/moderation analysis (Factorial ANOVA and ANCOVA)

Mediation analysis

Mediation analysis

Linear regression assumptions and diagnostics

Linear regression assumptions and diagnostics

The Experience and Host

This course is hosted by CambridgeSEM, which is steered by Gabriela Roman. Gabriela works as a researcher at the Institute of Criminology, University of Cambridge, and delivers courses on SEM with Mplus, both abroad and in Cambridge (mpluscambridge.com & mpluswizard.com).

The course was projected to take place at Selwyn College (pictured above). However, as the pandemic is still ongoing, it will take place online.

The course components will include:

  • Webinars: 6 highly interactive and practical live webinars. If you cannot attend the live sessions, you will be able to work through the course asynchronously, by watching the recorded videos in your own time.
  • Support: You will able to ask questions during the webinars and there will be two Q&A sessions at the end of the course, for any further questions. These will also be recorded and include questions from students who work asynchronously.
  • Materials: Stata files and pdfs of slides.
  • Extra 1:  Electronic access to Mehmet’s book.
  • Extra 2: Extended online access to recorded videos online (until 5 November).
  • Extra 3: While the course is based on Stata, R codes will also be available on request.

The schedule (all dates are UK time):

  • 2 August: 15:00 – 17:00 and 18:00 – 20:00 (interactive webinars).
  • 3 August: 15:00 – 17:00 and 18:00 – 20:00 (interactive webinars).
  • 4 August: 15:00 – 17:00 and 18:00 – 20:00 (interactive webinars).
  • 6 August: 17:00 – 19:00 (Q&A session).
  • 9 August: 17:00 – 19:00 (Q&A session).

 

If you have questions about the venue or the general setup, please contact Gabriela at statacourse.gdr[at]cambridgesem.com

 

Buy

We are no longer accepting bookings for this course. If you are interested in attending a future course, please “pre-register” below. This means you will be notified about future course dates and will be able to benefit from the early bird rate (normal rate: £495,  early bird rate £420).

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Reviews of Mehmet’s book

Here are a few reviews of Mehmet’s book, which will be used in the course. You can see further reviews on the Amazon and Sage websites.

Practically orientated with a plethora of examples and an engaging narrative, this book is a must have for all those studying applied social statistics.
–Franz Buscha

This book provides an extraordinary and very readable account of the applied statistics methods needed in the social sciences. With its captivating didactical exposition, the book will be an invaluable resource for the novice as well as the advanced researcher. –Sergio Venturini

Stata users, especially social scientists, will find helpful advice in fitting statistical models to a diverse set of examples encountered when investigating the complexity and subtlety of real data. The authors emphasize the importance of assumptions behind the models and present clear exposition of the tools embedded in Stata to test these assumptions. –James L Rosenberger

This book addresses in an entertaining and instructive way multivariate analysis in the context of the Stata program. Well structured in relation to the themes and the main techniques of multivariate analysis, it is an easy-to-read book that helps you not only with statistics but also with using stata in investigations. –Jorge Omar Cabrera Lavernia

I believe this is an excellent textbook for methods at the Master’s level. The sample of methods and approaches is very good. In addition to treating the “ordinary” techniques like linear and logistic regression, the book also deals with multilevel analysis, panel data analysis, factor analysis, and structural equation model. This covers the quantitative methods that are relevant for today’s Master’s students.

The material is presented at an acceptable advanced level where the necessary formulas are presented, and at the same time explained in an accessible manner. The highlighting of how to perform an analysis combined with examples from Stata makes the material easy to access for the students. This is definitely a book that I would like to use in my teaching. –Per Arne Tufte