Measurement: Assessment and Metrics

Overview/Description
Were you ever in a situation where you started a new project and weren't sure of its effectiveness? Is your new process trending toward success or failure? These are questions that should be on the mind of every manager. An effective manager is continuously gathering, monitoring, and analyzing information as it relates to organizational performance. This course explores data analysis techniques used to detect trends of projects and processes. It describes key concepts in statistical analysis and explains how data-gathering affects the people in an organization and vice versa. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality / Organizational Excellence certification exam.

Target Audience
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam

Expected Duration (hours)
1.5

Lesson Objectives

Measurement: Assessment and Metrics

match the three levels in the GQM measurement model to examples

identify reasons for not using sampling to acquire data

match the sampling types to the situations in which they should be used

match key concepts of statistical analysis to descriptions

match the three methods used to estimate reliability to their descriptions

match the four main components of validity to their descriptions

recognize situations when it is appropriate to use long-range or short-range trend analysis

distinguish between common and special causes in variation

identify key concepts involved in dealing with common cause and special cause variation

recognize the capability of a process in terms of Cp and Cpk indices

differentiate between subjective and objective measures