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Bryman defines quantitative data analysis as the process through which a researcher transforms all the data observed or collected into numerical data. The method of analysis often answers questions, describes events, or a situation that the “how” and “what” questions apply. The method deals with measuring or attributes that are related to quantities (Bryman 2008).
Quantitative data analysis is applied to find evidence used to prove wrong or support a hypothesis or idea. The research method operates using three types of quantitative measures including nominal, ordinal, and interval. These measures provide certain advantages that are associated with their use during the analysis of data. Quantitative analysis utilizes statistical package for the social sciences (SPSS) to ensure accuracy of the results derived from the analysis. The data tool resembles a spreadsheet, but it has a different modus operandi. The statistical tool is preferred for analyzing data generated from social sciences research studies because it is tailor made for this task.
Bryman looks at a comparison of quantitative and qualitative data analysis methods with the view of their potential when they are integrated. The two levels of research approach research from different scopes of discourse and analysis. Though there are disagreements over the possibility of combining the two methods, a number of research approaches have employed a structure that closely resembles the quantitative/qualitative research approach (Bryman 2008).
The two types of research are fundamentally different and they have been described as explained; while quantitative analysis is considered rationalistic and positive qualitative analysis is considered naturalistic and constructivist. Because of these fundamental differences, the two analysis techniques are applicable in different stages of a research study (Sarantakos 2005).
In conclusion, quantitative and qualitative
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The goal of the article is to highlight the importance of peripheral vision within organizations and provide readers with guidance in the development and analysis of these peripheral zones. The authors assert that many managers interpret the data set before them but fail to look beyond the obvious things.
According to Peterson and Lee (2011), as in (Somekh and Lewin 2011), discourse analysis can be termed as an umbrella with a range of different methods of analysis that serve different purposes while eventually producing various knowledge. In research work, method and theory are inseparable; this summary aims at clearly illustrating the importance of disclosure analysis in social, scientific researches.
This type scaling code presents issues of sensitivity in which it only provides the participants with limited choices of response. Another problem present in this scale is the introduction of the option ‘depends’ which somehow may not meet the objectives of the study because all choice may as well depend on something.
The theoretical perspective of this research project is based on the fact that in modern jurisprudence, this doctrine is an extension of the defenses of self defense and provocation. These are the criminal implications of the “battered woman” which the researcher will be testing.
Income statement of PepsiCo has been prepared on consolidated basis such that the individual income statements of the parent company and its subsidiaries are consolidated to present the complete and summarized financial performance of the whole PepsiCo group.
Games Workshop Group Plc.. Return on Equity (ROE) Return on equity is a profitability measure which indicates how much profit the company has generates on the capital invested by the shareholders. It can be computed as net profit to shareholders’ equity.
The primary significant rational database model. Still found in lots of mainframe-based, inheritance systems. Records are agreed in a top-down parent/child arrangement. Every child can be linked to only one parent
Residential to conquer the incomplete range of the hierarchical model.
There could be a simple random sampling method to ask inhabitants of some of these villages simple questions that demand a “yes” or “no” answer, pertaining to their intention of supplying mangoes to the factory. The number of responses, thus yes, or no would
quantitative research with postpositivism, mixed research method with pragmatism (Creswell, 2009), and the features of the research methods that identify with the aligned philosophies informs my position. Qualitative research method, for example, focuses on establishing
The statistical tasks related to data mining include cluster analysis, time series analysis, multivariate statistics, spatial data analysis, and machine and statistical learning (Zhao, 2012). The application of statistics,
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