Description
Receive a solid foundation in management analysis techniques. Provide more effective assistance when working closely with experienced management analysts. Become acquainted with the process of analysis and various data-gathering methods, so that you can work independently on parts of studies or complete an elementary study with minimum supervision.
This course has been revised. Please see the new course, Introduction to Management Analysis (PGMT7010A).
Related Certificate Programs:
This course is part of the Certificates of Accomplishment in
Who Should Attend?
Management technicians, supervisors, assistants, new program/management analysts, and those who anticipate doing elementary management analyses but have no formal training. This course also helps prepare those who have the potential for management analysis positions but do not currently possess the required technical knowledge.
Tuition:
$1,299.00
Credits:
2.4 CEU's
Class Type:
This course is currently being offered in the following training modalities:
- Online
- Virtual Instructor-Led - PGMT7000A
- Class Length: This class is listed as a 4 day course.
- Virtual Instructor-Led - PGMT7000A
- In-Person Classroom
- Management Analysis: Overview - PGMT7000D
- Class Length: This class is listed as a 4 day course.
- Management Analysis: Overview - PGMT7000D
- On-site
Learning Outcomes:
- Describe the role of the management analyst
- Develop a basic study plan
- Identify and describe issues or problems
- Collect data employing the appropriate data collection methods
- Interpret simple descriptive statistics for data analysis
- Explain the fundamentals of developing a study report and presenting a briefing
Day One
Introduction
What is management/program analysis
Functions of the analyst
Knowledge and skill requirements
Research: Purpose and Process
Definition and characteristics of research
Types of research
The 7-Step scientific method
Conducting research and research proposal and plan
Day Two
Problem (Issue) Definition
Defining the problem or issue
Problem definition model
Six-step problem process
Organizational context
Day Three
Research: Introduction to Data
Planning for data collection
Knowing the data
Recording the data
Classification of data
Types of data
Data Collection Methods
Methods and tools
Informational interviewing
Interviewing techniques
Guideline for conducting the interview
Questionnaires and/or surveys
Parts of questionnaires
Types of questions
Day Four
Data Collection Methods Continued
Observation/records examination
Work sampling
ADP flowcharts
Descriptive Statistics
Percentage and percentage change
Organizing data
Graphs and charts
Pie charts
Measures of central tendency
Measures of dispersion
Standard deviation
Reports and Briefings
Research report
Briefing and communication techniques