Quantitative methods in the social sciences are an effective tool for understanding patterns and variation in social data. They are the systematic, numeric collection and objective analysis of data that can be generalized to a larger population and seek to find cause in variance (Matthews and Ross 2010, p.141; Henn et al. 2009, p.134). These methods are often debated, but quantitative measurement is important to the social sciences because of the numeric evidence that can be used to drive more in depth qualitative research and to focus regional policy, to name a few (Johnston et al. 2014). Basic quantitative methods, such as descriptive and inferential statistics, are used regularly to identify and explain large social trends that can then …show more content…
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
For social sciences majors, reading this book can provide a look at exactly what biases there are in the field we are hoping to enter, and what mistakes are commonly made. It provides a long list of examples of ways in which numbers can be messed up, and is a good warning to those of us wanting to be social scientists.
Using two theoretical approaches to social research namely, Positivism and Standpoint theory, I have demonstrated implicit connections in their respective assumptions. The ontological, epistemological and methodical assumptions are all integral facets of the understanding of social research. Once these are understood one can then draw conclusions as to which type or types of methods are appropriate to use.
Gaskel, G. (2014) Thinking like a social scientist: Why methodology matters LSE100 Lecture Capture retrieved 26th March 2014 [http://moodle.lse.ac.uk]
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.
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...
First, it depends on quantitative methods to understand the world. Quantitative tools are insufficient in understanding complex social phenomena, especially human systems and behaviours. Second, positivism demands researcher objectivity. Researchers cannot be completely objective because they have social, economic, political and cultural biases that can influence their choice of questions and data-collection methods as well as their analysis and recommendations. Third, positivism believes in the notion of a grand narrative apart from controlling and predicting reality. Social problems are too dynamic to be boxed in simple generalisations. Moreover, researchers cannot control human actions; they can only try to influence them if they know the latter’s innermost motivations and goals in
Many sociologists come to a disagreement and different approaches to the Sociological concept of positivism and antipositivism. Positivism is the scientific study of social patterns. This pertains to the use of scientific methods to get a more clear understanding of the natural world. Auguste Comte was the founder of this concept. Comte believed the way that society interacts with individuals using positivism would usher in a new “positivist” age of history. Comte concept of positivism is still relevant today. Since then positivism has been expanded and became the foundation for quantitative sociology. Quantitative sociology is the use of empirical evidence to gain an understanding of human patterns and behavior.
Positivism Paradigm is considered the “scientific method”; Interpretivist Paradigm approaches understanding using the world of “human experience”. Critical and Transformative researchers "believe that inquiry needs to be intertwined with politics and a political agenda" (Creswell, 2003, p.9). Pragmatism theorists are not committed to any specific system of philosophy or model that use the most relevant theory applicable to their research. Understanding paradigms is essential to preparing for dissertation research. Paradigms provide a framework to write and explain my philosophies, accurately support the data compiled and structure the narrative research. Selecting the paradigm will determine if the research will include qualitative data, quantitative data or a mixed method which will incorporate a blended method approach. Choosing an incorrect approach can lead to research flaws and
This chapter taught me the importance of understanding statistical data and how to evaluate it with common sense. Almost everyday we are subjected to statistical data in newspapers and on TV. My usual reaction was to accept those statistics as being valid. Which I think is a fair assessment for most people. However, reading this chapter opens my eyes to the fact that statistical data can be very misleading. It shows how data can be skewed to support a certain group’s agenda. Although most statistical data presented may not seem to affect us personally in our daily lives, it can however have an impact. For example, statistics can influence the way people vote on certain issues.
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 Advantages and Limitations of Social Surveys in Sociological Research To survey something, is to carry out a systematic overview so that a researcher can produce a comprehensive general report on it. Survey method is often used by positivist sociologists seeking to test their hypotheses, and to investigate causes and examine variables. As with every other sociological research, survey has its own advantages and limitations. Positivist research, which is in the scientific tradition, begins with a hypothesis that can be either confirmed or rejected according to the data collected. One of the significant advantages of survey method is that, it can be used to collect data that is a representative of a larger population.
investigators take from the crime scene. With scientific methods it helps investigators to produce a
Positivism is a descriptive form of research that lacks reason and meaning, basically only offers ‘brute data’ (Taylor, 1985: 19). A strength of positivism is its collection of quantifiable data, along with the well-structured design that significantly supports evidence. However, positivism is more concerned with the technique of research than the substance of their findings (Halperin and Heath, 2012: 27). And scientific equations can not account for the complexity of human behavior and culture. A positivist also doesn’t differentiate between the natural world and social world. Therefore, their research lacks a fundamental understanding of the complexity of social behavior, and how social behaviors construct social
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...
Researchers, professionals and others use statistics to prove their claims or findings. Even though statistics are not an absolute fact because the conclusion is mostly drawn from a sample group – representative of a specific population subjected to the research, it is commonly used as the basis of decision making or alternating choices in daily living, studies, works, scientific research, politics and other planning. The inventor of a documentary film called “An inconvenient truth”, Mr. Al Gore, for instance, in his campaign to educate people about the climate change, used statistics to alert people that everyone on earth is polluting the environment and should participate in solving the problem. He collected data from many different countries with an in...