ldemo2630  2019-2020  Louvain-la-Neuve

Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
4 credits
20.0 h
Q1
Teacher(s)
Schoumaker Bruno;
Language
French
Content
The course is structured around 11 themes:
  • Installing Stata and getting started with the software: windows, do-file, browser
  • Data types in Stata and data import in various formats
  • Variable format and labels
  • Variable creation and recoding
  • Using basic commands
  • Data manipulation
  • Creating graphs
  • Merging and appending data files
  • Descriptive analysis: measures of central tendency and dispersion
  • Basic statistical inference: Chi-square and t-tests.
Teaching methods
All lessons are organized in a computer room and mix presentations and practical applications on real data. The courses are organized in the first weeks of the first quadrimester. Practical exercises are planned after each session to apply the procedures on data and to check the assimilation of concepts and tools.
Evaluation methods
January session
The evaluation takes the form of a written exam in a computer room, based on the use of survey data with the Stata software.
September session
Same type of exam as in January.
Bibliography
  • Acock, Alan C. (2018), A Gentle Introduction to Stata (6th Edition), Stata Press, College Station.
Teaching materials
  • Acock, Alan C. (2018), A Gentle Introduction to Stata (6th Edition), Stata Press, College Station.
Faculty or entity
PSAD


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Advanced Master in Quantitative Methods in the Social Sciences

Master [120] in Population and Development Studies