RESEARCH
METHODS
S PR I N G 2 0 2 0 – 2 0 2 1
,Research Design: Definition
A research design is a framework or blueprint for conducting t
research project. It details the procedures necessary for obtain
the information needed to structure or solve research problems.
, Research Design
Quantitative analysis generally involves using statistical tools to analyze
large amounts of numerical data on a large number of cases. Quantitative
designs tend to produce data useful for quantitative analysis.
Qualitative analysis typically looks at a smaller number of cases more in
depth, using data that can’t always be reduced to numbers. Qualitative
designs tend to produce data useful for qualitative analysis.
, Quantitative Analysis
• Researcher is generally seen as independent from those being researched.
• Those taking part are usually referred to as respondents.
• Designed to examine relationships between variables.
• Often uses probability sampling techniques to ensure generalisability.
• Method(s) used to collect data are rigorously defined and highly structured.
• Collection results in numerical and standardised data.
• Analysis conducted through the use of statistics and diagrams.
• Resulting meanings derived from numbers.
METHODS
S PR I N G 2 0 2 0 – 2 0 2 1
,Research Design: Definition
A research design is a framework or blueprint for conducting t
research project. It details the procedures necessary for obtain
the information needed to structure or solve research problems.
, Research Design
Quantitative analysis generally involves using statistical tools to analyze
large amounts of numerical data on a large number of cases. Quantitative
designs tend to produce data useful for quantitative analysis.
Qualitative analysis typically looks at a smaller number of cases more in
depth, using data that can’t always be reduced to numbers. Qualitative
designs tend to produce data useful for qualitative analysis.
, Quantitative Analysis
• Researcher is generally seen as independent from those being researched.
• Those taking part are usually referred to as respondents.
• Designed to examine relationships between variables.
• Often uses probability sampling techniques to ensure generalisability.
• Method(s) used to collect data are rigorously defined and highly structured.
• Collection results in numerical and standardised data.
• Analysis conducted through the use of statistics and diagrams.
• Resulting meanings derived from numbers.
