Course: Statistical views of data collecting

Course type: compulsory
Lecturer: Vasja Vehovar, Ph.D., Full Professor
 

Study programme and level Study field Academic year Semester
Applied statistics, second level Social Science Statistics 2nd 1st

For the timeline see Curriculum.

Prerequisites:

  • Fulfilling general condition for enrollment.

Content (Syllabus outline):
Sampling

  • Sample design: basic sample types (simple random sample, stratification, cluster sampling, multiphase sampling, panels).
  • Variance estimation approaches: direct methods and replication method.
  • Specific with respect to type of survey (academic, official, business, international), target population (institutions, households, persons, transactions etc.) and mode of data collection (telephone, web, face-to-face, mail).

Incomplete data

  • Data editing and controls.
  • Missing data mechanism (MAR; MCAR; NMAR)
  • Classic approaches to missing data (ignoring, imputation , weighting)
  • Model approaches (Bayes, maximum likelihood, EM algorithm, multiple imputations).
  • Data fusion: statistical and ethical issues.

Selected topics

  • Selected topics in the area related to statistical aspects of designing data collection, performing data collection and editing data

Objectives and competences:
Students will get familiar with basic statistical approaches to designing the data collection (sampling) and editing the data.

Intended learning outcomes:
Understanding of the approaches to data collection, understanding the concept of data quality and practical skills for data collection and editing.

Contact

Main contact:
e-mail: info.stat (at) uni-lj.si

Contact for administrative questions (enrolment, technical questions):
Katarina Erjavec Drešar
University of Ljubljana, Faculty of electrical engineering, Tržaška cesta 25, 1000 Ljubljana.
room num.: AN012C-ŠTU
phone: 01 4768 209
e-mail: katarina.erjavec-dresar (at) fe.uni-lj.si