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Management Analysis: Data Gathering

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  • ORegistration open
  • FClass full
  • GGuaranteed to Go
  • RRemote Classroom
Multiple Registrations?
Session Schedule Location Tuition Status
Nov 28 - Dec 01, 2017
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Apr 03 - Apr 06, 2018
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Jul 17 - Jul 20, 2018
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Aug 14 - Aug 17, 2018
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Sep 11 - Sep 14, 2018
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Nov 27 - Nov 30, 2018
08:30 - 16:00 , Tue-Fri
Washington , DC $1199 O
Displaying of 6 sessions Show All Show Less

Course overview

Get the knowledge and skills you need to produce thoroughly researched, useful management studies. Receive an overview and examples of the most frequently used data-collection tools, and identify those specific situations that are amenable to those tools and approaches. Learn about the most commonly used techniques to analyze the collected data.This course is part of the Certificate of Accomplishment in Program and Management Analysis.

Additional Information:
View Course Selection Guides.

Who should attend?

Program and management analysts, auditors and others who want to improve their ability to produce thoroughly researched, useful management studies or who want to learn interviewing skills and how to design questionnaires and flowchart presentations. Participants should be familiar with management analysis principles as taught in Management Analysis: Overview (PGMT7000D).

Learning outcomes

  • Construct and use a causal model
  • Deduce hypotheses from a causal model
  • See the relevance and importance of correlation
  • Develop viable operational definitions
  • Conduct physical area inspections and layout analyses
  • Perform work distribution charts and work samplings
  • Construct process flowcharts
  • Interview and develop effective questionnaires

Course outline

Syllabus -- Management Analysis: Data Gathering, PGMT8000D, Grad. School, USDA

Day one of four

  • Management Orientation review

  • PDCA Cycle revisited

  • Causal Model

  • Hypotheses

  • Correlation

  • Operational Definitions

  • Physical Inspection and Layout Analysis

Day two of four

  • Work Distribution Charts

  • Functional Analysis Systems Technique

  • Work Sampling

  • Single Column Process Flow Chart

  • ADP Flow Chart

Day three of four

  • Interviewing steps, types and strategies (including)

  • Probing Interviews; Developmental and Specific Informational

  • Constructing Interviews and Role-playing

  • Introduction of Questionnaires

Day four of four

  • Questionnaires (continued)

  • Identification of Questionnaire Item types

  • Editing and critiquing Questionnaire items

  • Final Case Exercise: Application to a specific work area

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