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Introduction to Survey Sampling

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    Shutterstock, Mila Supinskaya

NOVA PhD course of 3 ECTS, organised by Docent Svetlana Saarela, Swedish University of Agricultural Sciences.
Dates and location: 3-7 Sept. 2018 in Umeå, Sweden.

Course Description
The course is intended for students and researchers of ecology, natural resources, forestry, agriculture and environmental sciences who need to know how to sample natural populations and continuums in a statistically sound manner. The course will include pre-course self-study through literature reading, and post-course home exam.

This course is an introduction course, i.e. the most common sampling designs such as simple random sampling and systematic sampling will be covered at full extent; yet advanced sampling designs such as probabilityproportional-to-size sampling and distance sampling will be introduced as well.

Programme Outline

  • Monday before lunch: Introduction to Survey Sampling.
  • Monday after lunch: Simple random sampling without replacement.

  • Tuesday before lunch: Simple random sampling with replacement.
  • Tuesday after lunch: Exercises on simple random sampling with/without replacement.

  • Wednesday before lunch: Systematic sampling.
  • Wednesday after lunch: Seminar on systematic, and line and point transect sampling; and exercises on systematic sampling.

  • Thursday before lunch: Unequal-probability sampling: probability-proportional-to-size sampling.
  • Thursday after lunch: Exercises on unequal probability sampling.

  • Friday before lunch: Line and point transect sampling (distance sampling).
  • Friday after lunch: Exercise on line and point transect sampling.

Pre-/Post-Campus Assignments
Before the course begins, students will receive the lecture material for self-studies at home. It is expected that students spend at least 15 hours on self-studies.

In the end of the course, a home exam will be distributed.

Learning Outcomes
Upon successful completion of the course, participants will be able to understand general concepts of survey sampling and design-based inference theory, and to analyse data based on designs such as simple random sampling, systematic sampling, unequal probability sampling, and distance sampling. Students will obtain skills in surveying natural populations through probability-sampling designs in a statistically sound manner.

Evaluation Elements
The grading for the course is PASS/FAIL. Students who actively participate in the course lectures and complete a home exam after the course will obtain 3 credits.

Pedagogical Approach
The course will consist of lectures mixed with exercises. On Wednesday, there will be held a seminar on current trends in applications based on systematic sampling, and line and point transect sampling. During the seminar, students will learn what are the challenges that surveys based on such sampling designs are facing. In the end of the course, students will be given the home exam tasks, which should be seen as a repetition of previously given material.

Estimated Workload

  • 3 hours seminar
  • 40 hours lectures and exercises in the class
  • 15 hours independent work as pre-assignment
  • 32 hours independent work as post-assignment

Prerequisite Knowledge
It is recommended that participants have a basic knowledge in statistics, e.g. acquired through participation in the basic statistics course at the master level. Basic knowledge in linear algebra is expected but not mandatory. To follow the course, basic knowledge in R is not required but preferable.

Admission for NOVA courses is handled by the course organiser/ the NOVA member institution organising the course. Please see the links in the margin for more information.

Costs and practical information
There is a course fee of €200 for non-NOVA and non-BOVA students.

Lunch, tea, coffee and snacks from Monday through Friday and a dinner on Wednesday will be covered for all participants.

Accommodation is not covered. Participants are encouraged to secure their hotel reservations as soon as possible as Umeå is quite a popular place to visit.

Published 3. April 2018 - 14:02 - Updated 30. July 2018 - 13:22