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Qualitative versus quantitative research
Qualitative versus quantitative research
Qualitative versus quantitative research
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QUANTITATIVE RESEARCH
Quantitative research, unlike the conceptual counterpart of qualitative research, seeks to identify human experience through a systematic framework expressed in numerical and statistical form (Marvasti, 2003). Wyly (2014) states that continued growth of neoliberalism will advent to a “quantitative evolution”; driven by cautious evidence based policy makers and data driven citizens. The main objectives of quantitative search includes testing hypothesises, determining relationships and the measuring frequency through observation (Hoe & Hoare, 2012). Despite researchers and government’s tendency to lean on strict and systematic protocol in quantitative research, its legitimacy is determined by the accuracy of the interpretation of data not the figures or “hard data” themselves (Curtis & Drennan, 2013; Hoe & Hoare, 2012).
The aim of quantitative data is to identify, observe and measure patterns to produce generalisations, using a variety of methodologies such as controlled trials, surveys, systematic reviews, cohort studies and case studies (Hoe & Hoare, 2012; P...
This paper is a critique of an article written by McKinney and Jones (1993) entitled: “Effects of a Children’s Book and a Traditional Textbook on Fifth-grade Students’ Achievement and Attitudes toward Social Studies”. In their research the authors examined the effects of a children’s book and a traditional social studies textbook on knowledge acquisition and attitudes toward social studies and the textbook in a sample of 57 fifth-graders. It is the intention of the present paper to develop analytical discussion and the holistic interpretation of the McKinney and Jones’s quantitative study (1993).
Nonexperimental Research (McMillan, 2012, p.13): Nonexperimental research is a quantitative research design in which the researcher has no control over any of the variables or factors within a study, and thus cannot influence the behavior of the subjects of the study.
ee, searching for a ‘perfect’ love has never mattered to me. It’s never been about someone who would match this silly list of criteria or be exactly who I always dreamed of. I haven’t spent my life wishing for a prince or a man to save me. I haven’t hoped that I’d find this ideal man who could have all the answers and never leave me wondering.
Quantitative Research Article Critique This paper is an academic critique of an article written by Lautrette, et al. (2007) titled: “A Communication Strategy and Brochure for Relatives of Patients Dying in the ICU” and accurately reflected the content of the article and the research study itself. The abstract explains the article in more detail, while remaining concise.
Pure qualitative research uses the idea that there are multiple realities that may shift or evolve due to changes in events and situations. In one sense, qualitative researchers might, as Tanya R. Berry reported in “Qualitative researchers as modern day Sophists? Reflections on the qualitative-quantitative divide” (2011), say “there is no reality – just experience.” Thus, qualitative research studies may produce glimpses of the more slippery version of “truth” that quantitative research would never real. However, the more structured and disciplined constructs used by quantitative researchers may also be necessary to nail down the trends, opinions, and ideas revealed through qualitative
The development of knowledge requires a number of processes in order to establish credible data to ensure the validity and appropriateness of how it can be used in the future. For the healthcare industry, this has provided the ability to create and form new types of interventions in order to give adequate care across a of number of fields within the system. Research then, has been an essential part in providing definitive data, either by disproving previous beliefs or confirming newly found data and methods. Moreover, research in itself contains its own process with a methodological approach. Of the notable methods, quantitative research is often used for its systemic approach (Polit & Beck, 2006). Thus, the use of the scientific method is used, which also utilizes the use of numerical data (Polit & Beck). Here, researches make use of creating surveys, scales, or placing a numerical value on it subjects (Polit & Beck). In the end the resulting data is neutral and statistical. However, like all things its approach is not perfect, yet, it has the ability to yield valuable data.
indicates towards a fraud. On eof the most important qualities or benefits of this model is that it understands the pattern in the data and generates the result. Once the result is generated the model checks as to how close was the result from the actual results. Based on this analysis the model adjusts its weights to give an accurate result the next time. Once this model has been trained to give accurate results, it can be used to analyze other data as well. Even when Neural Networks are widely accepted, they are not really used that much in the marketing industry merely by the fact that data preparation for this model is very complex time consuming as compared to the Regression Analysis. The marketers are much comfortable using the Regression Analysis over Neural Networks because of the ease of interpreting the results in the Regression Analysis.
providing quantitative data to monitor some clinical effectiveness to satisfy the Governments ‘payment by results’ (PBR) agenda and health commissioners for funding; contributing to national data sets for research (CORC).
The goal of quantitative research is to find relationships among variables which can be dependent or independent variables. Delıce (2010) categorizes the main efforts quantitative research to find reliability with generalizability to search and find these relationships among the independent or dependent variables depending on the type of multivariate statistics being performed. The goal is not force these variables into a relationship, but to openly receive the results and present representative statistics in select...
The quantitative research article that I chose to review was a study completed by Dougherty and Thompson (2009), found in Research in Nursing & Health. Very few researchers have focused their study on the impact of cardiac arrest and ICD implantation on a patient’s intimate partner. What little is known about caregiving responsibilities and caregiver burden after a cardiac illness or event has previously been focused on the spousal experiences following an acute myocardial infarction or coronary artery bypass graft surgery (Dougherty & Thompson, 2009). The researchers in this article chose to study the physical and mental health effects of the intimate partners of persons after sudden cardiac arrest and receipt of an implantable cardioverter defibrillator (ICD). Intimate partners were defined as being the spouse, lover, or significant other living in the same household as the patient during the study enrollment. Complete data collection was obtained from 100 intimate partners that participated in the study. Subjects were recruited from 10 Pacific Northwest hospitals after patient’s received an ICD after cardiac arrest. Data were collected by the researchers between 1999 and 2002.
The Use of Video, Analytics and Electronic Devices It is possible that the aspect of video, analytics and electronics in sports has developed the most due to the application of technology. One major technological advancement in sports is the addition of instant replay. Venugopal (2015:53) states “Systems such as Hawk-Eye --commonly used in cricket for split-second decisions, TV umpires, multi-cam broadcasts and instant analysis of team performances by breaking them into numbers and percentages have all contributed to making hockey far more beautiful to watch, informative to the layman and easier to understand.” Technological advancements have helped create cameras that can go where humans cannot.
Primary source data collection relies on structured interviews and questionnaires, which many argue do not offer enough fluidity to relate to everyday lives and therefore are not valid research tools (Bryman 2001, p.77). Critics also continue to associate positivism and quantitative methods failing to see that quantitative researchers do not apply the scientific method to all data and can account for influencing variables (Bryman 2001, p.77; Matthews and Ross 2010, p.29). Quantitative methods in the social sciences were highlighted by the positivist epistemology during the mid 20th century; however, Jones (2010) explains how the principles of positivist epistemology are not fully consistent with modern quantitative methods in the social sciences (Matthews and Ross 2010, p.27). Positivist research parallels that of the natural sciences, where data collection and hypothesis testing is conducted from information that can be observed and recorded by the senses (Matthews and Ross 2010, p.27). Because information can only be observed, positivists look for regularities and explain causation when one event regularly follows another, which is why many will criticize quantitative methods if they associate them with the positivist approach to research (Jones
Traditional research may use quantitative or qualitative research method. According to Hendricks (2009), quantitative research is a general conclusion based on hard data. Hen-dricks describe quantitativ...
Does quantitative methodology have an optimistic future in the study of political science? The answer is positive. But it doesn’t mean that using quantitative methods are panaceas for every research puzzle. Applying this methodology has several principles and limits. Whether the future of quantitative methodology is bright depends on its internal capability as we as its external possibility.
In the sciences, there are two major approaches to research: quantitative and qualitative. At the very simplest level, qualitative approaches deal with the subjective qualities of an entity while quantitative approaches investigate their focus through objective quantities. They both offer tools to collect and analyse very specific types of data. These methods serve very different, yet vital, means. These two groups of methods differ in many ways but the greatest amount of difference can be explained by the specific paradigms that the methods subscribe to. Although the paradigms tend to divide scientists, I argue that this should not be the case. Contrary to what I have learned throughout my academic career, I believe that qualitative and quantitative methods compliment and strengthen each other and improve each other’s findings.