Change management method that help employees accept change and employee satisfaction high

A few months ago, the upper management at a large corporation decided they wanted to make major changes in the organization. Leadership is concerned that employees may be resistant to the change, and they want to find out if there is a change management method that would help employees accept change more effectively and keep employee satisfaction high. Two methods they have considered are the ADKAR Framework and the Prosci Change Management Methodology. The company wants to implement a small change in two departments before they make any major organization changes and would like to test the methods. The corporation uses the Devine Company to measure employee satisfaction with an anonymous survey.

Write a 525- to 750-word paper that addresses the following for your chosen scenario:

• Clearly define the problem or issue you are addressing. Provide a brief background of any research you have found that might affect your research hypothesis.

• Create a research hypothesis based on the information provided in each scenario. You have been given a data set (Excel document) with two sets of interval data (just the numbers, as you must decide what they represent, such as method A results or method B results). This means you are going to test one thing against another, such as which method works best (step 1 of the steps to hypothesis testing). State the null and research hypotheses. Explain whether these hypotheses require a one-tailed test or two-tailed test, and explain your rationale.

• Describe the sample you will use. Sample size will be 30 for each group, which are provided in your data set. Explain what type of sampling you selected.

• Do you think you would also collect some descriptive data, such as gender, age, or shift? Why do you think it makes sense to collect descriptive data?

Format your paper according to APA guidelines.

Example

You have a hypothesis that two drugs have different effects on lowering anxiety. You would have anxiety scores for drug A and anxiety scores for drug B (all after 4 weeks of treatment) to run inferential analysis for after 4 weeks.

• Null hypothesis is H0: drug A = drug B • Research hypothesis is H1: drug A ≠ drug B • Dependent variable: Anxiety score changed after treatment. • Independent variable: drug treatment

Because you did not state a direction in your hypotheses (better than or worse than), this will be a two-tailed test. You are looking for differences in either direction. You would set your alpha level of .05 and have a sample for each group of 30 people that were volunteers for the study.

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