Data Analysis In Research Example Quantitative
In other words quantitative data analysis is a field where it is not at all difficult to carry out an analysis which is simply wrong or inappropriate for your data or purposes.
Data analysis in research example quantitative. Quantitative data is defined as the value of data in the form of counts or numbers where each data set has an unique numerical value associated with it. T his article considers the analysis of data in quantitative research. Due to its high reliability researchers can replicate and repeat the studies. Quantitative analysis is a mathematical and statistical method of studying behavior and predicting certain outcomes that investors use in their decision making process.
The structured way of collection and analysis of the data which is obtained from the different sources involving the use of statistics computational and mathematical tools in order to derive the results is known as quantitative research. By using financial research and analysis quantitative analysis seeks to assess every investment opportunity as well as try to estimate a change in macroeconomic value. Main characteristics of quantitative data analysis. The method is again classified into two groups.
And the negative side of readily available specialist statistical software is that it becomes that much easier to generate elegantly presented rubbish 2. Data analysis and research findings 4 1 introduction this chapter describes the analysis of data followed by a discussion of the research findings. It is not neat. Also learn more about advantages and disadvantages of quantitative data as well as the difference.
In conducting quantitative research you need to make sure you have the right numbers and the correct values for specific variables. Methods used for data analysis in quantitative research. It is a messy ambiguous time consuming creative and fascinating process. It does not proceed in a linear fashion.
Quantitative studies report and understand numerical data to make further analysis of a given phenomenon. Qualitative data analysis is a search for general statements about relationships among. This is because quantitative research focuses more on numeric and logical results. In quantitative research the results rely mostly on large sample sizes.
The data collected in quantitative research are precise and structured. Learn more about the common types of quantitative data quantitative data collection methods and quantitative data analysis methods with steps. Data were analyzed to identify describe and explore the relationship between death anxiety and. After the data is prepared for analysis researchers are open to using different research and data analysis methods to derive meaningful insights.
The findings relate to the research questions that guided the study.