Solving problems in human movement involves high levels of critical thinking and an interdisciplinary approach, integrating the many kinesiology sciences. The advantages of numerical measurements of quantitative over those of qualitative analysis are greater accuracy, consistency, and precision.
Quantitative analysis involves measuring values to quantify motion (objective). Performance is recorded from which numerical scaling is applied. Qualitative analysis involves evaluating the quality of movement /performance subjectively on the basis of observation (subjective).
This text uses the Knudson and Morrison (2002) model of qualitative analysis (Figure 2.9). This model provides a simple four-task structure: preparation, observation, evaluation/diagnosis, and intervention.
In sport and exercise research, qualitative analysis is fundamental to understanding factors such as exercise adherence, the nature of effective training, non-response to interventions and stakeholder priorities.
Quantitative analysis provides analysts with tools to examine and analyze past, current, and anticipated future events. Any subject involving numbers can be quantified; thus, QA is used in many fields including analytical chemistry, financial analysis, social science, and organized sports.
Biomechanics is widely used in orthopedic industry to design orthopedic implants for human joints, dental parts, external fixations and other medical purposes. Biotribology is a very important part of it. It is a study of the performance and function of biomaterials used for orthopedic implants.
Six common types of qualitative research are phenomenological, ethnographic, grounded theory, historical, case study, and action research.
The differences between quantitative and qualitative research
| Quantitative research | Qualitative Research |
|---|
| Focuses on testing theories and hypotheses | Focuses on exploring ideas and formulating a theory or hypothesis |
| Analyzed through math and statistical analysis | Analyzed by summarizing, categorizing and interpreting |
Quantitative research is more preferred over qualitative research because it is more scientific, objective, fast, focused and acceptable. However, qualitative research is used when the researcher has no idea what to expect. It is used to define the problem or develop and approach to the problem.
The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.
Qualitative data analysis requires a 5-step process:
- Prepare and organize your data. Print out your transcripts, gather your notes, documents, or other materials.
- Review and explore the data.
- Create initial codes.
- Review those codes and revise or combine into themes.
- Present themes in a cohesive manner.
Qualitative Data. Research data can be placed into two broad categories: quantitative or qualitative. Quantitative data are used when a researcher is trying to quantify a problem, or address the "what" or "how many" aspects of a research question. Qualitative data describes qualities or characteristics.
Qualitative Synonyms - WordHippo Thesaurus.
What is another word for qualitative?
| approximate | subjective |
|---|
| conditional | dependent |
| partial | |
Qualitative Research Characteristics
- Natural environment (natural setting).
- Researcher as a key instrument (researcher as key instrument).
- Multiple sources of data.
- Inductive data analysis.
- The meaning of the participants (participant's meaning).
- Design that develops (emergent design).
Qualitative research is aimed at gaining a deep understanding of a specific organization or event, rather a than surface description of a large sample of a population. It aims to provide an explicit rendering of the structure, order, and broad patterns found among a group of participants.
The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.
Qualitative data is important in determining the particular frequency of traits or characteristics. It allows the statistician or the researchers to form parameters through which larger data sets can be observed. Qualitative data provides the means by which observers can quantify the world around them.
