Postgraduate

CEG8435 : Data collection and survey methods

Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

The aim of the module is to make the student capable of collecting the relevant data for understanding, modelling and planning consumer’s behaviour. The module is built as part of the MSc in transport but most of the contents are not transport-specific and can be applied and hence be of interest for several disciplines in engineering (environment, water, energy, etc.), in economics (environmental, health, food, etc.), marketing etc.

The module is open and welcome students and professionals from any fields who are interested in learning how to collect data to study consumer’s behaviour.

The module covers general type of data and survey methods (traditionally used in transport and in other fields of engineering, economics, marketing, psychology), as well as recent techniques that make use of advanced technology (such as smartphone, virtual reality, etc.) to track movements or to study technologies not yet available (such as autonomous vehicles).

Students will learn a number of type of data used to study consumer’s behaviour and a variety of techniques to collect these data. Students will also learn how to use the appropriate type of data for each specific type of problem analysed.

The module includes also a brief RECAP of the sampling theory covered in the Transport Research Methods CEG8423 or other analogous modules (for students not in transport).


-The theoretical part is supported by an extensive empirical work where students have the possibility to practically build their own survey and experience collecting the data.

-The module also provides information on how to do a descriptive analysis of the data collected and how to write a report for policy makers or industrial clients.

Outline Of Syllabus

The themes of lectures delivered are (it does not correspond to the exact lecture schedule):

Basic Data and data Collection Methods:
-Introduction to consumer’s behaviour and information needs
-Types of data
-Types of surveys
-Survey protocol and sample size
-Survey data correction, expansion and validation

Qualitative data:
-Why and when qualitative data
-Forms of qualitative research: Focus groups, Metaplan, Expert opinion
-Survey protocol
-Data analysis

Cross-sectional and longitudinal data:
-Survey period
-Questionnaire design
-Sample size
-Types of surveys
-Data analysis

Stated Preference data:
-Survey process
-Introduction to Experimental Design Theory
-Orthogonal and Efficient Designs
-Comparison with contingent evaluation
-Sample size
-Introduction to common software to build experimental designs
-Data analysis

Attitudinal data:
-Introduction to the psychological/social theories
-Definition of the psychological/social constructs
-Questionnaire designs

New technology to collect data:
-Possible topics are (might change subject to lab availability): Smartphone, Social channels, Virtual Reality, Eye tracking
-Status of the art and potentiality

Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials42:008:00Non-synchronous online Lectures
Structured Guided LearningLecture materials21:303:00Non-synchronous online Lectures
Structured Guided LearningLecture materials11:001:00Non-Synchronous online guest lectures,
Scheduled Learning And Teaching ActivitiesLecture21:002:00Synchronous online Computer demonstration
Scheduled Learning And Teaching ActivitiesLecture11:301:30Synchronous online Computer demonstration
Guided Independent StudyAssessment preparation and completion21:002:00Non-synchronous online. Q&A
Guided Independent StudyAssessment preparation and completion116:0016:00Project independent work
Guided Independent StudyAssessment preparation and completion150:0050:00Project group work
Scheduled Learning And Teaching ActivitiesPractical21:002:00PiP
Scheduled Learning And Teaching ActivitiesPractical11:301:30PiP
Structured Guided LearningAcademic skills activities15:005:00Non-Synchronous online structured guided learning. Exercises under the guidance of the lecturers
Structured Guided LearningAcademic skills activities22:004:00Non-Synchronous online. Exercises under the guidance of the lecturers
Structured Guided LearningAcademic skills activities21:303:00Non-Synchronous online structured guided learning. Exercises under the guidance of the lecturers
Scheduled Learning And Teaching ActivitiesModule talk11:001:00PIP Introduction to the module
Total100:00
Teaching Rationale And Relationship

Teaching and learning of this module is done by a combination of lectures, computer demonstrations and practical work, guest lectures, coursework and reading materials. This is in line with the learning outcomes. Lectures, guest lectures and coursework are intended to provide the theoretical background, computer demonstrations allow students to learn the software and the codes to build the mathematical model. Practical work allows students to learn how to link the theory with the practice (how to use the theory in practice) and help developing problem solving skills. Reading materials helps developing critical, independent and innovative thinking.

Alternatives will be offered to students unable to be present-in-person due to the prevailing C-19 circumstances.
Student’s should consult their individual timetable for up-to-date delivery information.

Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report1M654000 words. Report (3/4 people) on theoretical/practical work carried out to collect online data for specific problem assigned.
Written exercise1M35Individual written report. Each student will receive a questions based on the group report and will write short report.
Assessment Rationale And Relationship

The form of examinations (group written report and individual short report addressing a specific question) are intended to test if students acquired the intended skills in terms of understanding and master the theory behind data collection and being able to apply the theory in practice. In particular:

(1)       Data collection involves major work that is typically performed in team. This is why the practical work and the report is a group work, though teams will be small (3-4 people) to make it easier for the students to organise the work.
(2)       The short report allows testing students’ ability to address specific questions related to the work done. The short reports are individuals, allowing also identifying the contribution of each student within the team

Reading Lists

Timetable