Title: Collecting and using data: Essentials of quantitative survey research
Keywords: Research method
Quantitative methods
International / global
Health information
Country: United Kingdom
Institution: UK - Institute for Global Health, University College London
Course coordinator: Dr Zelee Hill
Dr Ed Fottrell
Date start: 2018-01-29
Date end: 2018-02-16
About duration and dates: 3 weeks & 2 days pre-reading
Classification: advanced optional
Mode of delivery: Face to face
Course location: Institute of Child Health, UCL, London
ECTS credit points: 6 ECTS credits
SIT: 150 study hours: (50 contact hours as lectures and seminars, 100 self-study hours including private reading, homework, and assignments)
Language: English
Description:

This module aims to ensure that students can think critically about all aspects of designing and applying a quantitative survey. At the end of the module students should be able to:

i) Appraise and critically analyse sampling strategies in complex and varied research contexts. This will include innovative methods such as respondent driven sampling,.

ii) Evaluate and select between different methods of administering a survey in relation to the objectives of the research and logistical practicalities.

iii) Critically discuss effective principles and approaches to measuring morbidity and mortality such as biomarkers, health screening and verbal autopsy.

iv) Develop an appropriate data collection strategy in relation to a given scenario.

v) Design a robust and coherent quantitative questionnaire in such a way as to maximize the quality of the data.

vi) Understand the basics of database design

vii) Enter, clean, manipulate and analyse data in STATA and draw valid conclusions from the results.

viii) Prepare data for effective presentation and dissemination to different audiences.
Assessment Procedures:
50% of assessed mark
15-30 minute presentation of data for different audiences that the students have analysed in STATA (Group)

50% of assessed mark
Scenario based written exercise (2000 words) in which students apply what they have learnt in terms of evaluating and selecting sampling strategies and data collection methods and construct a questionnaire. (Individual)

Students who complete assessments and fail have the right to one re-sit, subject to UCL policy.
Content:
− The steps in designing and conducting a quantitative survey.
− Types of sampling (probability, non-probability, simple random sampling, stratified sampling, multi-stage sampling).
− The design effect (sample size is reviewed)
− Defining sampling frames and operational procedures (enumeration, EPI method, segmentation method, demographic surveillance).
− Sampling hard to reach populations (time location sampling, respondent driven sampling).
− Key constructs in questionnaire design.
− Modes of data collection (face to face, self-administered questionnaire, audio-casi).
− Measuring morbidity and mortality (Health interview, Biomarkers, Verbal autopsies).
− Key constricts in database design
− Theory and examples of linear and logistic regression analysis. Simple and multi variate regressions are considered in a plenary session and then applied in STAT sessions.
− Practical sessions on STATA: creating a data base, entering data, minimizing errors in data entry, advanced features of the data editor, coding and re-coding data, running commands and viewing outputs, working on a sub-set of the data, graphics. Conducting basic analytical tests.
− Packaging and presenting data for different audiences.
Methods:
A variety of learning methods will be used. The course starts with two days of background reading. After this each day (three days a week for three weeks) will be comprised of plenary sessions and practical sessions in the computer lab. All plenary sessions will be interactive and will be punctuated with discussion, group activities and individual exercises. Students will be encouraged to share their own experiences. Theoretical constructs will be complemented by ’views from the field’ where experienced researchers share their real life experiences applying the theory. Sessions run for approximately three hours.

Practical computer lab sessions will focus on the use of STATA. The computer sessions will include summaries of statistical theories, demonstration and discussion but will mostly focus on students working independently.

Additionally students will work in groups to prepare and present data for different audiences.

The individual short answer assignment is designed to consolidate learnings as well as covering new topics through self-learning.
Prerequisites:
English proficiency: IELTS 6.5 or equivalent at partner institution. To have successfully completed a basic statistics course. No prior knowledge of SPSS is needed.
Attendance:
20 students maximum; normally there are several places for tropEd students, but this varies from year to year; for greater chance of enrolling on the module, tropEd students are encouraged to apply by the end of September for courses in the same academic year (the IGH academic year runs from mid-September to mid-September).
Selection:
TropEd applicants are awarded tropEd places on a first-paid, first-admitted basis.
Fees: 850 GBP.(Euro amount based on current exchange rates)
Scholarships: None
Major changes since initial accreditation:

The statistical program taught has changed from SPSS to STATA. STATA is a more powerful program and we felt would be more useful for students in their careers.

The sessions of epi-data have been removed as students preferred to spend more time becoming proficient at STATA

The module title has been changed following feedback from students who reported that the current title; Research in Action: Quantitative Approach was off putting.
Student evaluation:
Students felt that the module provided a good explanation of statistical concepts and felt they benefited from the numerous computer practical sessions. However they felt that more exercises were needed to ensure that their skills were cemented. They also felt that the module was too short and that the timing should be reconsidered.
Lessons learned:
Some students found the level of calculation required challenging, whilst others would have liked to go further into more statistical analysis. Balancing the needs of students with different levels of skill and experience is important.
tropEd accreditation:
Accredited in Copenhagen September 2008. Re-accredited in Antwerp, January 2009 and in january 2014. This accreditation is valid until January 2019.
Email Address: a.gilry@ucl.ac.uk
Date Of Record Creation: 2012-01-12 00:15:03 (W3C-DTF)
Date Of Record Release: 2012-01-12 06:28:53 (W3C-DTF)
Date Record Checked: 2017-09-12 (W3C-DTF)
Date Last Modified: 2017-10-10 16:06:59 (W3C-DTF)

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