The focus of this lesson is to explain the difference between quantitative research and qualitative research and discuss their respective strengths and weaknesses. Such methods also allow researchers to draw insights from related bodies of knowledge. Definition of Quantitative Data Quantitative Data, as the name suggests is one which deals with quantity or numbers. For instance, you theorize that heart disease is the leading cause of death in America, then work to prove or disprove that hypothesis. Experience is understood through perception, intuition, and cognition. It aims at establishing cause and effect relationship between two variables by using mathematical, computational and statistical methods. Fourthly, research findings in quantitative research can be illustrated in the forms of tables, graphs and pie-charts, whereas, research findings in qualitative studies is usually presented in analysis by only using words.
However, if you are conducting a Quantitative Research, what will most likely appear in your discussion are tables containing data in the form of numbers and statistics. What is the difference between Qualitative Observation and Quantitative Observation? On the other hand, heaviness, shortness, roughness, smell, or tasting sweet or sour are examples of qualitative observations. If results lead to unforeseen conclusions, the hypothesis or research question may need revision. Using Quantitative Observation Methods Quantitative research involves observations using tools and methods that allow results to be quantified in objective ways, usually using numbers or measurements. Qualitative research does do this and often incites empathetic understanding.
Statistics uses a lot of mathematics and many major concepts like probability, populations, samples, and distribution, etc. A qualitative investigation of perceived executive ethical leadership: Perceptions from inside and outside the executive suite. Observing anything that can be measured, such as changes in size, color or number, is considered quantitative observation. This is when qualitative research is needed. These types of issues can not be described by numbers alone. Phenomenology is not a research method that provides formal rules and guidelines for inquiry. It can provide a wealth of in-depth information and even explain findings from a quantitative study.
Conclusions can not be drawn from statistical results that are not statistically significant. The researcher is an active participant in the process who introduces self bias. So, effective leadership measurement calls for a mixed methodology that includes quantitative methods and qualitative methods. Depending upon the requirements of the research one should choose which method to choose. Variables are easy to identify and results can be generalized to larger populations.
The choice between the two depends on a set of factors such as the area of study, research philosophy, the nature of the research problem and others. In such cases, qualitative methods may be the only feasible means of conducting the research. External validity implies that the results will generalize to a larger population because the findings are applicable across different settings and participants Egan, 2005. Let us examine this through an example. Again, the numbers can be analyzed using statistics.
Phenomenology of embodied implicit and narrative knowing. Taking of extensive, detailed field notes. Phenomenology can also be accomplished through sharing narratives. Quantitative Analysis: In the quantitative analysis the data is analyzed through statistical means. On the other hand, their roughness and roundness are examples of qualitative observation. Case study research methods for theory building.
Conclusive research be further divided into two sub-categories. Both are used together for research. The tabular and diagrammatic presentation of data is also possible, in the form of charts, graphs, tables, etc. Quantitative research is the systematic, empirical investigation of social phenomena using statistical, mathematical or computational techniques. In contrast, qualitative methods use techniques such as narratives, phenomenologies, ethnographies, grounded theory, and case studies. The data collected by the researcher can be divided into categories or put into rank, or it can be measured in terms of units of measurement. It is true that the terms mentioned above are used in our daily life.
Common differences usually cited between these types of research include. This highlights the nature of quantitative. A survey consists of creating a number of questions for people to answer. Yin as cited in Woodside and Wilson, 2003, p. Trevino, Brown, and Hartman 2003 suggested that qualitative methodology was proper for preliminary research for issues where empirical research was not conclusive. Some of the words that are used in the description of anything quantitative are hot, cold, long, short, fast, slow, large, small, many, few, heavy, light, near, far and the like.