Advantages and Challenges of Data Analysis and Collection Methods

In the following article we analyze and compare the research designs, methods, and quantitative analyzes used in two different papers. We will see the advantages and challenges of the method used for data collection and analysis. Introduction Article Ghoreishi F. S., Zahirrodine, A. R., Assarian, F., Gholam, S., Moosavi, A., & Mahrizi, M. Z. Z. (2014). Emotional intelligence and job satisfaction assessment of Kashan hospital staff The main purpose of this research paper is to evaluate the relationship between EQ and work satisfaction among employees of Kazan Hospital in 2011.

The sequential mixing method was used in this study. The design is divided into two stages. In this design, we first collect and analyze quantitative data, then collect and analyze qualitative data (Creswell & Plano Clark, 2007). The overall objective of the design is to characterize the data to help explain or establish the initial quantitative result of the first stage of the study (Creswell & Plano Clark, 2007). The advantage of this design is that its two-step nature makes implementation and reporting easier. By combining quantitative and qualitative methods, we can better understand research problems than using either method alone (De Vos, Strydom, Fouché & Delport, 2011).

Research method is more concrete than research design. Research methods are data collection and analysis techniques such as quantitative standardization tools or qualitative subject analysis of text data (Creswell, 2005; Creswell & Clark, 2007). In this research the term hybrid approach research means that the research design has philosophical assumptions to guide the direction of data collection and analysis. As a survey method, it focuses on collecting, analyzing and mixing quantitative and qualitative data in a single study.

Quantitative methods emphasize objective measurement and numerical analysis of the data collected by various methods (opinion polls, questionnaires, questionnaires, etc.). In quantitative analysis, we examine the collection of numerical data and then distribute it by advertising the data of the population. The purpose of quantitative research is to determine the relationship between two variables as dependent variable and independent variable. In the population, the quantitative research design is either descriptive or experimental. Descriptive research establishes relationships between variables, but experimental studies focus only on the outcome of casualties. The features of quantitative research are as follows. Data can be gathered using structured research tools and research research can be duplicated and the data can be stored in digital form or statistical form using tools used by researchers such as questionnaires