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Similarities and differences of qualitative and quantitative research
Qualitative versus quantitative research
Similarities and differences of qualitative and quantitative research
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Introduction
This essay aims to cover two main focus points. The first section of this essay will take an in depth look at the major differences between two research methods – Qualitative and Quantitative. I will explore when and why they are used for specific types of research and how they apply to some types of work more effectively. The second area for this essay will be based around the research question- what factors contribute to you feeling anxious during sport or exercise? I will then go on to show that the best method to use to analyse this will be by using qualitative research, and then how it can be applied to it to extract all relevant information from it.
Qualitative and Quantitative Research Methods
The qualitative and quantitative research methods are divided by many fundamental differences. You could suggest that these two research methods represent the two different ends of a linear spectrum. Qualitative research looks to deal with the in depth, word based side of research whereas on the other end of the spectrum quantitative research works predominantly with number based research and statistics. Birley and Moreland (1998) support this by saying that “the two methodologies reflect various paradigms and that the theoretical model that each method uses to conduct the research come from different areas”.
Qualitative research involves the consideration of emotions and thought processes concerning certain situations, whilst quantitative data collection sets about using statistics and numbers to determine the results (Mosby's Dictionary of Medicine, Nursing, & Health Professions). In addition, qualitative research gives a more detailed view of a situation compared to quantitative, which only collects discrete d...
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... European Journal of Sport Science. 8 (3), p143.
Holt, N.L and Mandigo, J.L. (2004). Coping with performance worries among youth male cricket players. Journal of sport behaviour. 27 (1) p39-57
Kerr, J and Grange, P. (2010). Physical aggression in Australian football: A qualitative study of elite athletes. Psychology of Sport & Exercise. P11
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‘quantitative analysis’ 2009, in Mosby's Dictionary of Medicine, Nursing, & Health Professions, Elsevier Health Sciences, Philadelphia, PA, USA
Silverman, D: (2006) What is qualitative research?. Interpreting qualitative data: methods for analyzing talk, text and interaction. 3rd ed., London: Sage. p.48
Qualitative research aims to gather information from data collection methods and transform it into written words. Such as transcribing recorded interviews, taking field notes from observations, using words to outline images (Denscombe, 1998, p. 174). On the other hand, quantitative research aims to gather information from data collection methods and transform it into numbers. Such as analysing conducted surveys and pulling numbers to transform it into statistics, tables and graphs (Denscombe, 1998, p.174-177).
Research can be quantitative and qualitative. Quantitative research is objective and involves measuring the phenomena under investigation. Qualitative research is subjective, explores experiences and feelings, and involves the recording of phenomena that cannot easily be quantified (Toates, 2010, pp. 5-6). Both are empirical since they involve data collection (OU, n.d.).
Qualitative and quantitative research have many differences. Qualitative is exploratory, interpretive, subjective, descriptive, emergent, looks to produce or reach a hypothesis by what is observed, has unknown variables, is flexible, and uses personal views. Qualitative research is confirmatory, predictive, objective, deduces and test the hypothesis, has known variables, is not flexible, but is a fixed, static designed to control variables, and tries to be bias-free. Qualitative research collects data through interviews, observation, surveys, review of artifacts, and self inqu...
Nicholls, Adam R., et al. "Mental Toughness in Sport: Achievement Level, Gender, Age, Experience, and Sport Type Differences." Personality & Individual Differences 47.1 (2009): 73-75. Academic Search Complete. Web. 14 Nov. 2013.
According to Smith (1983) quantitative research is to explain, predict and develop laws that can be universally applied and Qualitative research is the interpretation and understanding of what people give to their situation. The researchers clearly stated the purpose of their studies, aim, objectiv...
Anxiety and Athletic Performance Introduction Athletes today need to be able to cope with the anxiety and pressure that is placed on them in the competitive world of sports. A large deal of research has been done on examining the relationship between anxiety and performance within the field of athletics. This paper is going to show that the mind of an athlete has a lot to do with the result of the particular event. In order to show that anxiety in athletes is a significant problem, this paper is going to be set up in three different areas in order to explain exactly how anxiety affects the athlete. The first section of the paper is going to explain the history and terminology of the study of anxiety in athletes.
The father of quantitative analysis, Rene Descartes, thought that in order to know and understand something, you have to measure it (Kover, 2008). Quantitative research has two main types of sampling used, probabilistic and purposive. Probabilistic sampling is when there is equal chance of anyone within the studied population to be included. Purposive sampling is used when some benchmarks are used to replace the discrepancy among errors. The primary collection of data is from tests or standardized questionnaires, structured interviews, and closed-ended observational protocols. The secondary means for data collection includes official documents. In this study, the data is analyzed to test one or more expressed hypotheses. Descriptive and inferential analyses are the two types of data analysis used and advance from descriptive to inferential. The next step in the process is data interpretation, and the goal is to give meaning to the results in regards to the hypothesis the theory was derived from. Data interpretation techniques used are generalization, theory-driven, and interpretation of theory (Gelo, Braakmann, Benetka, 2008). The discussion should bring together findings and put them into context of the framework, guiding the study (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). The discussion should include an interpretation of the results; descriptions of themes, trends, and relationships; meanings of the results, and the limitations of the study. In the conclusion, one wants to end the study by providing a synopsis and final comments. It should include a summary of findings, recommendations, and future research (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). Deductive reasoning is used in studies...
Qualitative research is an approach that attempts to situate an activity that locates the observer in the world by providing the study to occur in their natural setting and by attempting to make sense of, or interpret information (Denzin and Lincoln, 2005). A characteristic of qualitative research is to use a variety of empirical materials such as personal experience, interviews, and questionnaires. It is imperative to understand the task at hand and how to fully carry out the study when using a qualitative research approach in order to find out the information needed. One view of qualitative research is it involves examining individual’s experiences and documenting those experiences in detail (Jones, 2011). By documenting these observations the researcher is ensuring validity in his or her data and giving the correct creditability to those who participated in the study.
Quantitative research may be seen as the less contentious of the two because it is more closely aligned with what is viewed as the classical scientific paradigm. Quantitative research involves gathering data that is absolute, for example numerical data so that it can be examined as unbiased as possible. The main idea behind quantitative research is that it is able to separate things easily so that they can be counted. The researcher generally has a clear idea of what is being measured before they start measuring it, and their study is set up with controls. Qualitative research on the other hand is a more subjective form of research, in which the research allows themselves to introduce their own bias to help form a more complete picture. Qualitative research may be necessary in situations where it is unclear of what is exactly being looked for in a study, while quantitative research generally knows exactly what it is looking for. Questionnaires and surveys are quantitative socio-legal research, because it is the collection of numerical data, or data that can be easily being turned into a numerical form. In terms of analysing quantitative data, Excel is the b...
Liamputtong, P. & Ezzy, D., 2005, Qualitative research methods, 2nd ed., Oxford University Press, South Melbourne, Victoria, pp. 12-31.
We believe it is clear that both qualitative and quantitative research have many benefits and many costs. In some situations the qualitative approach will be more appropriate; in other situations the quantitative approach will be more appropriate.
Qualitative and quantitative research methods take different approaches to gathering and analysing information. Whether it is a qualitative or quantitative study, the research study begins with a question or series of questions. Both use rigorously designed studies to get the most accurate, detailed and complete results. Qualitative studies common methods are interviews, surveys and observation. A qualitative study aims to provide a detailed description of the study results, often using pictures and written descriptions to describe what the research revealed. A qualitative study looks at the big picture, helping researchers to narrow in on points of interest that then can be followed up on in a quantitative study. While a quantitative study has a narrower focus, it attempts to provide a detailed explanation of the study focus, along with this using numbers and statistics. And the results from a quantitative study can reveal bigger questions that call for qualitative study. Or vice versa a qualitative study may reveal at analysis that a more focus and direct approach may be needed. With both methods analysis is a key part of any study whether qualitative or quantitative.
Qualitative and Quantitative study designs both can be beneficial in research design. They both provide valuable options for researchers in the field. These techniques can either be used separately in a research study or they can be combined to achieve maximum information. This paper will define the terms qualitative and quantitative; describe the similarities and differences between each; discuss how qualitative and/or quantitative research designs or techniques could be used in the evaluation of my proposed research; and discuss why linking analysis to study design is important.
In addition to those disadvantages already named, another concern is that the researcher must be an expert with regard to both quantitative and qualitative research (Cameron, 2009). Also, extensive data collection is necessary using this strategy, and another disadvantage is that it may be possible that the results are actually superficial due to the fact that the researcher did not effectively mix the two research methods (Cameron, 2009). This method also offers a great deal more flexibility than either the quantitative or qualitative methods, but it may not be regarded by all researchers as being an ideal choice for that reason. Conclusion In conclusion, this paper discusses three methods of analyzing research that include quantitative, qualitative and mixed method research.
Training for a long period of time and in a extreme level could greatly affect athletes physical and psychological health which could lead to illnesses and injuries. Moreover, it was estimated that 5-13% of athletes who follow an injury have been reported to experience a significant level of psychological distress (as cited from a study by Masten, Stražar, Žilavec, Tušak and Kandare, 2014). Athletes have a tendencies to experience a greater amount of frustration, depression, and anger with injuries more severe than the others (Crossman, 1998). In comparison to Crossman, Tripp, Ebel-Lam, Stanish & Brewer (2011) had also described athletes to have a wide range of emotions such as anxiety, fear and anger when an individual follows an injury (as cited in a study by Chan & Grossman, 1988; Macchi & Cross- man, 1996; Smith, Scott, O’Fallon, & Young, 1990; Tracey, 2003). Moreover, these emotions result positively to athletes being more exposed to depressed moods than other individuals may often