Question

1. How would you involve stakeholders in the development of an intervention evaluation plan?

2. What are the pros/cons for using primary data sources vs secondary data sources?

3. Describe how process, impact, and outcome evaluation could be used in a stress management program for college students.  

4. What is the difference between statistical significance and program (or clinical or practical) significance?

Answer 1

1. Stakeholders can be involved by the following interventions:

• Community fairs: organizing a community event with the aim of providing information about the project and raising the awareness of relevant issues.
• Fishbowl technique:  managing group discussion about relevant issues.
• Formal meeting processes: guidance on processes for running formal meetings.
• Informal meeting processes: a conversation between an evaluator and a key stakeholder that is not conducted in a formal way but is still seeking the same outcomes.
• Launch workshop: A meeting of key stakeholders to both assess and build readiness for the evaluation

2.

• The primary data have own advantages and disadvantages: (i) Advantages of primary data: Advantages of primary data are as follows: The primary data are original and relevant to the topic of the research study so the degree of accuracy is very high.
• Secondary data:Pros: As it is largely based on already existing data derived from previous research, secondary research can be conducted more quickly and at a lesser cost. Cons: A major disadvantage of secondary research is that the researcher may have difficulty obtaining information specific to his or her needs.

3.The unique disadvantages and heightened stress of being a first-generation college student compound stress already linked to being a freshman college student adjusting to college life more generally, both of which contribute to first-generation students experiencing extensive disparate outcomes.

4.While statistical significance relates to whether an effect exists, practical significance refers to the magnitude of the effect. However, no statistical test can tell you whether the effect is large enough to be important in your field of study.