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Differences between qualitative & quantitative
Qualitative and quantitative research methods
Differences between qualitative & quantitative
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Abstract 1 can be identified as a qualitative methodology as the abstract contains elements of opinions and meanings behind issues in the passage and this method has been defined as a method that is used to gather data that helps to understand the meaning, reason and opinions behind a problem, while at the same time providing insights into the problem or helping to develop the ideas or hypotheses for research. Qualitative data collection methods usually use unstructured or semi-structured techniques. Some of these methods include group discussions, individual interviews, and participation or observations. The sample size is normally small, and respondents are selected to fill a set quota. The advantages of qualitative data are
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Another disadvantage is the size of the finding of the data, which makes interpretation and analysis of the data, time-consuming and difficult to present in visual ways, as not only is it hard to group the data, but there could also be issues with confidentiality and anonymity during the presentation of the data. Moreover, qualitative research is sometimes difficult to be accepted and understood within scientific …show more content…
So a solution, which Emma could consider to address this ethical dilemma is to offer protection for all the children and making so to get the consent from parents that names of children would not be mentioned and to make sure to give them an info pack and include the confidentiality clause in the consent
In our daily activities as humans, we consciously and unconsciously observe what people do around us, how they do it, and sometimes ask why they do what they do. In so doing we gain a better understanding of their ways of life. Anthropologist and sociologist too mention but a few, professions employ the daily observations we engage in as humans in a methodology called participant observation. Dewalt and Dewalt (2002:1) define participant observation as “a method in which a researcher takes part in the daily activities, events, rituals and interactions, of a group of people as one of the means of learning the explicit and tacit aspects of their life routine and culture.” Participant observation can be carried out in roles that reveal or hide the identity of the researcher (i.e. covert or overt roles) in four different capacities namely complete participant, participant as observer, observer as participant, complete observer Bryman (2004). These capacities all have their merits and demerits. However, for the purpose of this essay participant observation would be discussed holistically devoid of the various roles. This is due to limitation on words. This essay discusses the merits and weaknesses of participant observation, arguing that the weaknesses are inherent in the merits and as such the merits outweigh the weaknesses and concludes with ethical discussions on participant observation.
The ethical issues surrounding this Act is who’s rights are more important, the right of the parent to have their child with them, or the right of the child to live happily and without fear of abuse. This also applies to schools The Data Protection Act of 1998 means that service users have a right to keep private information confidential, but it also means that they have a responsibly in relation to the rights of other service users. The confidentiality must be kept within certain borderlines, and can be broken when other service user’s rights come into conflict. Certain information may need to be passed to a senior member of staff when there is someone in danger.
Where a practitioner has concerns that a child may be at risk of Significant Harm, it may be possible to justify sharing information without consent ,Practitioners should use their judgement when making decisions on what information to share and when and should follow their organisation procedures or consult with their manager if in doubt. The most important consideration is whether sharing information is likely to safeguard and protect a child (Information sharing March 2015).
Today the use of technology has become embedded into our daily lives. Most of western civilization has access to a piece of technology at any given point of time. In recent years, technology has started to play a significant role in the area of research. Quantitative research was quickly adapted and aided by technology due to the use of number variables, but the same was not true for qualitative research. In recent years, qualitative research was revolutionized by Qualitative Data Analysis (QDA) software. Although, QDA software has a great deal of positive aspect, there are drawbacks in the utilization.
The research is not without its limitations. One of the challenges that would be faced would be establishing the accuracy and bias in the various answers given by respondents. Some of the information may be dishonest, biased and unclear. This would render the report unreliable.
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.
A combination of qualitative and quantitative research study method was employed where a questionnaire was administered in a face-to face interview with selected participants (Schissel, 2007). A sample of 200 participants was targeted for the research study (Nacro, 2006). There was a 10 per cent to 20 per cent validation exercise to assure the integrity of the data/information that was gathered, and after completion, the questionnaires were edited for consistency and completeness before being processed (Winterdyk, 2000). The processed information was analysed by the following demographics:
In this paper, I will define quantitative and qualitative research methods and provide examples in the context of social issues which will hopefully provide insight into how this methods are properly applied.
The research was designed using qualitative model based on exploratory design. This was done to facilitate multi-faceted study with a broader prospective. Basic percentage analysis was done to supplement qualitative analysis. The study was conducted with the help of a Questionnaire. To deepen the understanding data was collected from a variety of books, Internet web pages, and articles of different kinds conducted was descriptive in nature. Descriptive research includes survey and facilitating enquiries of different
This essay intends to compare and contrast the strengths and weaknesses of the quantitative and qualitative approaches to research which addresses young people and bullying using two journal articles. The first article (quantitative) aims to “establish the relationship between recurrent peer victimisation and the onset of reported symptoms of anxiety or depression in the early teen years” (Bond et al. 2001, p. 480) while the second article (qualitative) aims to “investigate the nature of teenage girls’ indirect aggression” (Owens et al. 2000, p. 70).The two articles will be critically compared in terms of research design, methods used, approach to data analysis, reported results and the plausibility and appropriateness of the conclusions and recommendations posed. The aim of this essay is thus to evaluate and assess the methods of social science research currently undertaken in published research.
...sis, which could make all results invalid. With any research projects, limitations will be present. It is important to attempt to eliminate some of these causes in order to complete a thorough, accurate study. In future projects, this study could go about researching the issue in different ways. Perhaps using a larger sample size would be conducive for accurate results. A larger sample size helps reduce and even out any possible errors caused by those who do not answer truthfully. Also, keeping the surveys mainly anonymous would help to receive more truthful and accurate responses from participants. Participants may be fearful of judgments on open interviews or phone interviews, which could affect responses. In order to obtain as accurate results as possible, a future study would need to find ways to survey participants in a confidential way that feels comfortable.
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.
Create a Discussion Section This paper presents several lessons learned about qualitative research approach from the mock study in week three’s assignment. Qualitative methods are helpful when there is a need to explore a phenomenon via multiple aspects of discovery within its context to understand things better by answering “how” and “why” type of questions (Baxter & Jack, 2008). This means that qualitative research seeks answers to questions. A positive aspect of qualitative research approach is that the behavior of the participants cannot be manipulated (Chenail, 2011).
In addition, Leedy and Ormrod explained that a quality research problem needs "interpretation of data" and "mental struggle". The authors illustrated various examples of inappropriate problems for research: for example, (a) problems based a yes or no answer, (b) questions centered on personal inquiry, (c) using problems to calculate numbers in data, and (d) using problems to compare and contrast data (p. 45). Because the research problem is the "heart" of the entire research, it must have a direct line to the goal. In order to generate a high-quality problem statement, it is important to understand the nature of the problem.