Introduction to Quantitative Research and Analysis
Date:
18/09/2024
Organised by:
Social Research Association
Presenter:
NatCen
Level:
Entry (no or almost no prior knowledge)
Contact:
Patricia Cornell
training@the-sra.org.uk
Venue: Online
Description:
Introduction/overview
This course provides training in how to conduct quantitative research and will encompass a range of skills from developing a quantitative project from an initial idea through to how to safely report statistical results. It will also equip participants with the skills necessary to plan the key elements of a quantitative project, scope suitable data, and demonstrate how it could be analysed to meet their specific research needs.
Course Objectives
By the end of the course, you will be able to:
Understand what quantitative research is and the core statistical foundations that underpin quantitative analysis.
Plan and effectively conduct quantitative research by being able to move from an initial idea through to its operationalisation as a research project.
Report their own quantitative analysis safely and accurately as well as critically engage with and pull insight from other quantitative research.
Topics
The course covers:
What is quantitative social research?
Developing and operationalising research questions for a quantitative project.
What are the key stages of conducting a quantitative research project?
Using primary and secondary data.
Statistical foundations that underpin quantitative research.
Reporting quantitative results.
Who will benefit?
You will find the course useful if:
You are new to quantitative research, and you would like to equip yourself with the foundational skills to be able to engage with and conduct quantitative social research in the future.
You engage with quantitative data or analysis in your role and would like to maximise the opportunities and insight that could be gained from that data.
You would like to start using different types of quantitative analysis and would like to develop a strong foundation in quantitative and analytical research skills that can be developed further.
No prior knowledge is needed for this course and there are no pre-requisites in terms of research training, statistics, or research software. Additionally, the skills learned are applicable to a number of fields and research interests, the training itself will draw upon many examples of NatCen’s own research across several areas.
Learning outcomes
By the end of the training participants will be able to:
Explain what quantitative research is and when it is in/appropriate to use.
Create one or more research questions that are suitable to a quantitative research project.
List the key elements and stages of conducting a quantitative research project.
Scope suitable secondary data sources to answer research questions using the UK Data Service.
Explain the foundations of Statistical Analysis and what inference can be gained from certain results.
Determine the best method for reporting quantitative results, ensuring results are accurate and non-disclosive.
Course Tutor
This course is brought to you by NatCen Learning, part of the National Centre for Social Research: Britain’s leading centre for independent social research.
The largest independent not-for-profit social research organisation, NatCen’s customers include key policy decision-makers, government, think tanks, charities, businesses, universities and other research organisations.
NatCen Learning courses are led by experienced trainers and subject matter experts who work within the National Centre for Social Research. Every course is specially designed to encourage the effective transfer of theory to practice through encouraging participatory contribution.
Course fee payable to SRA.
Cost:
£165 for SRA members, £220 for non-members
Website and registration:
Region:
International
Keywords:
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Quantitative Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Quantitative Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination