Designing an Analytical Study Course

Module 1: The Role of a Management Analyst

• Define the responsibilities and functions of a management analyst.
• Understand how analytical studies support decision-making and organizational improvement.
• Recognize the skills and competencies required for effective analysis.

Module 2: Steps in an Analytical Study

• Identify the phases of conducting an analytical study from planning to reporting.
• Understand the iterative nature of analysis and the need for flexibility.
• Link each study step to its role in producing reliable and actionable results.

Module 3: Understanding the Management Situation and Concern (Step 1)

• Clarify the context and background of the issue to be studied.
• Identify stakeholders and their perspectives on the concern.
• Establish the scope and objectives of the analysis.

Module 4: Identifying Research Questions (Step 2)

• Formulate clear and focused research questions to guide the study.
• Ensure research questions are aligned with organizational priorities and needs.
• Differentiate between primary and secondary research questions.

Module 5: Identifying Data Sources for the Research Questions (Step 2)

• Identify available data sources relevant to each research question.
• Evaluate data sources for reliability, validity, and accessibility.
• Determine if additional data collection will be necessary.

Module 6: Developing a Project Plan (Step 3)

• Outline the activities, timeline, and resources needed for the study.
• Assign responsibilities and create a clear workflow.
• Incorporate risk management and contingency planning into the project plan.

Module 7: The NIDA Case Study and Project Plan (Steps 1, 2, 3)

• Apply initial analytical study steps to a real-world case example.
• Develop a project plan based on identified concerns, questions, and data sources.
• Demonstrate integration of planning steps in a cohesive framework.

Module 8: Planning to Use Available Databases and Archived Documents (Step 4)

• Identify and assess existing databases and documents for relevant data.
• Plan methods for extracting and organizing data from secondary sources.
• Address issues of data completeness and accuracy in existing records.

Module 9: Planning to Use Workplace Observation (Step 4)

• Design an observation plan tailored to the research questions.
• Determine observation criteria and recording methods.
• Minimize bias and disruption during the observation process.

Module 10: Planning to Interview (Step 4)

• Develop interview protocols and question guides.
• Select and recruit participants for interviews.
• Ensure ethical considerations and data confidentiality.

Module 11: Planning a Questionnaire Survey (Step 4)

• Design effective survey questions to elicit relevant data.
• Plan sampling strategies and distribution methods.
• Address potential response bias and increase participation rates.