Bachelor
2020/2021
Dealing With Missing Data
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
4 year, 3 module
Mode of studies:
distance learning
Instructors:
Yury Lander
Language:
English
ECTS credits:
3
Contact hours:
2
Course Syllabus
Abstract
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.
Learning Objectives
- to teach students the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration
- to show the capabilities of different statistical packages for weighting and imputation
Expected Learning Outcomes
- Understand the techniques of adjustments using estimated response propensities, poststratification, raking, and general regression estimation
- Understand the use of R, Stata and SAS
Assessment Elements
- Оценка за курс на Coursera
- Собеседование с академическим руководителем
- Оценка за курс на Coursera
- Собеседование с академическим руководителем
Interim Assessment
- Interim assessment (3 module)Рассчет оценки в соответствии с баллами, набранными на онлайн-платформе: 95-100 %: 10 85-94 %: 9 75-84 %: 8 65-74 %: 7 55-64 %: 6 45-54 %: 5 35-44 %: 4 25-34 %: 3 15-24 %: 2 5-14 %: 1 < 4 %: 0
Bibliography
Recommended Core Bibliography
- Мастицкий С.Э., Шитиков В.К. - Статистический анализ и визуализация данных с помощью R - Издательство "ДМК Пресс" - 2015 - 496с. - ISBN: 978-5-97060-301-7 - Текст электронный // ЭБС ЛАНЬ - URL: https://e.lanbook.com/book/73072
Recommended Additional Bibliography
- Джеймс Г., Уиттон Д., Хасти Т. - Введение в статистическое обучение с примерами на языке R - Издательство "ДМК Пресс" - 2017 - 456с. - ISBN: 978-5-97060-495-3 - Текст электронный // ЭБС ЛАНЬ - URL: https://e.lanbook.com/book/93580