Process of Formulating Hypotheses.

Process of Formulating Hypotheses.

Hypotheses are crucial aspects in the process of research. Hypothesis provide a valid speculation concerning the relationship between two or more variables in a question. Testing the hypotheses forms the basis of research (Fischer, 2011).

According to Fischer (2011) hypothesis are of two types, that is null hypothesis and alternative hypothesis. Alternative hypotheses are speculations of a relationship between the two variables at hand. For example, “Rain fall is rare during the summer.” Null hypothesis speculates that there is no marked relationship between the variables in question, i.e. “Rainfall is not rare during the summer. The research usually revolves around proving the invalidity of these null hypotheses (Gatignon, 2010).

Based on my research question, that is. “Why a large percentage of employees, especially nurses are dissatisfied with their jobs” I would formulate the hypotheses using the following procedure:

  • Identify the variables that are within the scope of the study- The variables are the key factors in any research study since the prime purpose of the research is to scout for possible relationships between them. Based on my research question, my variables will be, the age of the nurses, their individual working departments, the reasons for their sheer satisfaction or dissatisfaction toward their jobs, and the possible remedies.
  • Correlate the variables to establish connection to each other – The next step is to find out possible relationships between the variables. For example, in my case, there could be the relationship between the ages of the nurses and their dissatisfaction towards their jobs.
  • Formulate the Alternative and Null hypothesis based on the variables- Having gotten the relationships; I could have formulated Alternative hypotheses followed by their respective null counter parts. For example, in procedure II above, I found out that there is a relationship between the ages of the nurses and the extent of their dissatisfaction in their respective departments. I could formulate and alternative hypothesis and state that “Older aged nurses show the most dissatisfaction relative to younger aged nurses”. The corresponding null hypothesis would be “Older aged nurses do not show the most dissatisfaction when compared to younger nurses.

The Hypotheses

It is worth asking the research question because of it helps in the formulation of hypotheses (Huff, 2009). The hypotheses I formulated based on my research question are,

The major cause of the dissatisfaction of nurses in the work place is abuse.

  • Colleagues and patients do the abuse.
  • Female nurses are mostly affected by the scenario.

Insufficient salaries and earnings are also majorly to blame for this dissatisfaction.

  • This dissatisfaction often leads to strikes.

Old aged nurses exhibit is likely to be dissatisfied than younger ones.

  • The employees are dissatisfied because they lack the morale and motivation present in younger newly recruited nurses.

This dissatisfaction can be wiped out completely.

The corresponding null hypotheses are,

  • The major cause of dissatisfaction is not abuse.
  • Insufficient salaries and earnings do not contribute toward these issues.
  • Old aged nurses are not likely to be more dissatisfied than young nurses are.
  • The dissatisfaction cannot be wiped out completely.

The hypotheses above will help me test possible relationships between the variables under study. By doing so, I will come up with a conclusive statement of the relationship between the variables (Huff, 1993).

Summarizing the Data

My research scope hinges on two possible reasons for the nurse’s dissatisfaction towards their works. The first possibility is insufficient pay and the second is abuse. I would conduct personal interviews and issue out questionnaires. The data collected would then be classified into the two categories. The reason that has appeared the most in the responses would be dubbed the main reason toward the dissatisfaction (Tufte, 2001). Therefore, proper countering technique would be employed.

I would draw a pie chart with three sectors, the first one would represent the percentage of nurses who are dissatisfied because of abuse, the second one insufficient pay and the third one others. In the event that the “others” quadrant is larger than other quadrants or has a significant portion of the circle, I would employ the content analysis techniques and start analyzing the other reasons. The data collected include opinions and experiences hence they are qualitative (Tufte, 2001).

The variables used i.e.  Pay and abuse may take many forms. They are thereby deemed as ordinal data.

Dummy table.

Hypothesis. Result.
Nurses are dissatisfied because of abuse. Abuse is not common in many hospitals; minor cases were reported in the last year. Abuse not a major cause
Nurses are dissatisfied because of late and insufficient pay. This is the most common reason given the common strikes. The amount of pay they are given are nowhere near the intensity of their work.
Nurses are dissatisfied mainly due to other reasons such as their ages or some personal reasons such as stress. Yes, there is a possibility for this cause of dissatisfaction although it is very rare.


Fischer, H. (2011) a history of the central limit theorem: from classical to modern probability theory. New York: Springer Science and Media.

Gatignon, H. (2010) Statistical analysis of management data. New York: Springer.

Huff, P. (2009) a first course in Bayesian statistical methods. New York: Springer-Verlag.

Huff, D. (1993) How to lie with statistics. London: Norton.

Tufte, E. (2001) the visual display of quantitative information. Cheshire: Graphics Press

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