Learn applied statistics with STATA in Cambridge: 18-20 July 2018

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 authored the book “Applied Statistics Using Stata: A Guide for the Social Sciences“.

51QquT37FgL._SX348_BO1,204,203,200_The course will welcome you with a goody-bag that includes copies of the slides, the Stata models and code, as well as a copy of the book “Applied Statistics Using Stata: A Guide for the Social Sciences“, written by Mehmet. Please bring a laptop with Stata version 15  (or 14). If you have any questions about the course, please contact Mehment at mehmet.mehmetoglu[at]ntnu.no

 

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 on your own.

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

Gabriela Roman

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.

The course will take place at Selwyn College (pictured above). The University of Cambridge is a “collegiate” university and is composed of Faculties, Departments and Colleges. As such, the Colleges are integral to the make-up of the University. Indeed, when students apply for a Bachelor’s degree, their application is evaluated by one or more colleges and they are admitted by a college, rather than a department. Furthermore, teaching for undergraduates contains two components: lectures and supervisions. Lectures are delivered at the department. Supervisions, which are small-group teaching sessions, are arranged and delivered by the colleges. They accompany broad-brush lectures and are regarded as one of the best teaching models in the world. Each college has its unique features and history.

Selwyn College, where our course will take place, was one of the first in Cambridge to go mixed, admitting women in 1976. The distinctive red-brick Victorian Old Court is Tudor Gothic in style, much of it designed by architect Sir Arthur Blomfield.

Each day, the start time is 9:15 am and coffee/tea and pastries will await you at 9 am. We will then work our way through statistics until 12:00, pausing for a quick break of coffee/tea and biscuits. After a 1-hour lunch break that includes hot lunch in the College’s Great Hall, we will use the afternoon to finish off the theoretical components and progress through practicals. And of course, the afternoon also includes a quick break, this time with coffee/tea and cakes. The day finishes at 3:45 pm, giving you ample time to let the new information settle while soaking in the July sun and perhaps taking a refreshing walk in the city or relaxing in the gorgeous college gardens. If you have questions about the venue or the general setup, please contact Gabriela at gdp27[at]cam.ac.uk.

 

 

Buy

This course will no longer take place in the period 18-20 July, but if you would like to hear about future dates please email Gabriela at gdp27[at]cam.ac.uk and you will be added to a list of prospective attendees.  (Note that email replies will only be sent after the 25th of June.)

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Reviews of Mehmet’s book

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