Quantitative research is one where the requirement is to produce measurable values or variables, which can be analyzed suing mathematical models, figures, and statistics. There are several kinds of quantitative research methods that can be used. One of the primary methods being used is the experimental technique, which is able to perform a comparison between two variables or things (Hsieh and Shannon, 2005). This method uses a dependent and independent variables that are analyzed differently. Comparison between two different variables is essential in research into health care since it allows the research topic to have a baseline from which it is difficult for the researcher to veer away from. For instance, when performing a research on patient admissions into hospitals, demographical factors such as age and gender are the dependent variables, while diseases and number of staff in the hospital are the independent variables.
A different type of quantitative research technique is the descriptive method that entails the collection of data without bias or judgment. According to this type of research technique, the data collected is aimed at generating the research hypothesis and details about the respondents (Hsieh and Shannon, 2005). Good types of these research techniques are such as surveys, interviews, and sampling. The primary goals of the use of this research designs is to generate data drawn directly from the respondents. Additionally, the selection of the respondents is conducted in a manner that ensures that all factors pertaining to the research hypothesis are retrieved. In this type of research technique, accuracy is high and the error margins are greatly reduced if the respondents are carefully chosen, and they return results wholesomely. This research method is also useful for generating statistical data that can be used to draw conclusion on a multivariable scale.
Hsieh, H. and Shannon, S. E. (2005). Quantitative content analysis. Qualitative Health Research, 15 (9): 1277-1288.