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Quantitative and Qualitative Research
Transcript of Quantitative and Qualitative Research
Quantitative and Qualitative Research
and study carried out with the goal of advancing
What methods of conducting research did we discuss last lesson?
Can you think of any other methods of conducting research in sport?
A subjective form of research that tries to explain differences, relationships or causality using non-numerical data such as words.
Subjective: Based on personal opinion and experience.
Causality: the principle that nothing can happen without being caused.
Inquiry into meaning
Focus on what things mean.....
If you want to know how much people weigh, use a
If you want to know if they are obese, measure
If you want to know what their weight means to them, how it affects them, how they think about it, and what they do about it, you need to ask them questions, find out about their experiences, and hear their stories.
(Patton, 2002, p13)
TASK: Using the handouts provided answer the question on qualitative research methods
A formal, objective and systematic process in which numerical data is used to obtain information
Objective: Having actual existence or reality. Uninfluenced by emotions or personal prejudices
Systematic: Carried on using step-by-step procedures
Quantitative Research involves testing an hypothesis or trying to discover a
. It is generally
research (this means that a scientist would start at a
and then begin observations to prove the hypothesis). It is designed to establish differences, relationships or
- does one thing happening, cause another?
"The daily challenge of making weight for professional jockeys"
The Sport and Exercise Scientist - Spring 2013
Qualitative v Quantitative Research
Useful for in depth study of limited cases
Useful for describing complex phenomena
Provides an in depth insight into individual cases and their personal experiences
Data usually conducted in a natural setting - not a lab.
Qualitative data in the words and categories of participants lend themselves to exploring how and why phenomena occur.
Case studies can be used to vividly demonstrate a theory or construct.
Provides precise, quantitative numerical data of large numbers of people - when collected appropriately.
Can generalise a research finding when it has been replicated on many different populations and groups.
The research may conduct the situation to eliminate the influence of outside variables, allowing one to more credibly assess cause-and-effect relationships.
Data analysis is generally less time consuming
Results are independant of the researchers and not up for interpretation
May have higher credibility with some scientists
Knowledge produced can rarely be generalised across a wider population.
It is more difficult to test hypothesis and theories.
It may have lower credibility with some researchers
Collecting and analysing data takes a considerable amount of time
Results can be easily influenced by researchers personal biases and idiosyncrasies
The researchers theories that are used may not accurately reflect other's understanding
Knowledge produced may be too abstract and general for direct application.
Data may have been influenced by unaccounted for variables e.g weather, time of day.
Researcher error in data analysis or collection