STRATEGIC FORESIGHT AND STRATEGIC PLANNING
Date of Workshop: 24th - 28th June 2019
Venue: The Centre for Strategic & Policy Studies (CSPS) Simpang 347, Jalan Pasar Baru, Gadong BE1318 Brunei Darussalam
TO REGISTER, click here --> http://www.csps.org.bn/training/sfsp2019/
QUANTITATIVE RESEARCH METHODS FOR POLICY ANALYSIS AND DECISION MAKING
This course introduces Policy Analysis techniques using Quantitative Research Methods to support effective decision making. The participant can expect to gain a range of practical research skills to assist policy making, including how to set up answerable research questions, design research plans, sampling design, collect quantifiable information, analyse and interpret quantitative information, and effectively report or communicate findings. Further, the main focus of this course is survey-based research, applied statistics and the use of computer software with special reference to actual case studies from public policy in Brunei Darussalam.
Suitable for anyone interested in degree and postgraduate level research, Masters and PhD students, and officers in the government or private sector who wish to acquire practical skills in quantitative research methods and practice to aid decision-making.
Advanced quantitative skills are not required but a hands-on knowledge of basic computer applications, e.g. Microsoft Office, is assumed. Upon completion of the course, participants will receive a CSPS certificate of accomplishment and will be competent to:
- Understand the strengths and limitations of research methods in policy analysis;
- Able to design quantitative research techniques to investigate appropriate issues in public policy;
- Make decisions between different types of research design;
- Design a range of statistically acceptable sampling methods and make sound decisions about which type of sampling to apply for a research study;
- Formulate operational indicators for measurement of abstract policy concepts and construct good questionnaires to collect quantifiable information;
- Understand key statistical concepts and methodologies used in data analysis;
- Be able to gain practical knowledge of widely used computer software (Excel and SPSS) in data management and analysis;
- Appreciate the use of GIS for data visualisation to aid policy decisions; and
- Understand the techniques in report writing for policy making.