Using the empirical research cycle, explain how a hospital could investigate absenteeism, and identify one independent and one dependent variable.

The hospital observes a high rate of absenteeism among nurses, noting potential issues like low job satisfaction, heavy workload, or poor leadership. This forms the initial problem statement.

Based on observations, the hospital forms a general hypothesis. For example, they might hypothesize that "low job satisfaction leads to increased absenteeism."

From the general hypothesis, specific, testable predictions are derived. For instance, "Nurses who report lower job satisfaction scores will have higher rates of absenteeism compared to those with higher job satisfaction scores."

The hospital designs and conducts a study to collect data. This could involve surveying nurses about job satisfaction, workload, and leadership style, and then correlating these responses with their attendance records.

The collected data is analyzed to determine if the predictions were supported. The findings are used to refine the hypothesis or develop new ones, leading to further research or practical interventions to address the root causes of absenteeism.

b) Using examples from the case study, identify:
i. One independent variable
ii. One dependent variable
Explain the relationship between them.

i. One independent variable: Job satisfaction (or workload, or leadership style).
ii. One dependent variable: Absenteeism.

Relationship: The independent variable (e.g., job satisfaction) is the factor that is believed to influence or cause a change in the dependent variable (absenteeism). In this case, the hospital management believes that changes in job satisfaction, workload, or leadership style may cause changes in the level of absenteeism among nurses.

QUESTION FOUR

a) Explain how the following research methods could be used to investigate the situation:

• Experimental method: This method involves manipulating one or more variables (independent variables) to observe their effect on an outcome (dependent variable) while controlling other factors. In this situation, the company could introduce a new team-building program or a revised motivation strategy in one department (experimental group) and compare its impact on motivation and teamwork with a similar department that does not receive the intervention (control group).

• Survey method: This method involves collecting data from a sample of individuals through questionnaires or interviews. The company could administer surveys to employees in the affected department and other departments to gather information on their perceptions of motivation, teamwork, leadership, workload, and job satisfaction. This allows for quantitative data collection and comparison across groups.

• Observation method: This method involves systematically watching and recording behaviors or events in their natural setting. Researchers could observe team meetings, daily interactions, and work processes within the department to identify specific behaviors indicative of low motivation or poor teamwork, such as lack of participation, conflict, or disengagement. This provides qualitative insights into the dynamics.

b) Recommend the most appropriate research method for this case and justify your choice.

The most appropriate research method for this case is the Survey method.

Justification: The survey method is ideal for understanding employee perceptions, attitudes, and experiences related to motivation and teamwork across different departments. It allows for the collection of a broad range of data from a large number of employees efficiently, providing insights into the specific factors contributing to low motivation and poor teamwork. While experimental methods might be too disruptive and observational methods too time-consuming for initial diagnosis, surveys can quickly identify key issues and areas for improvement, guiding subsequent, more targeted interventions.