Data Collection and Analysis
September 15 - 19, 2008 Instructor: James Byrne Jacksonville, FL $995 September 22 - 26, 2008 Instructor: Neil Clayton San Diego, CA $995 October 27 - 31, 2008 Instructor: Art Casabianca Washington, DC $995 January 5 - 9, 2009 Instructor: Robert Wise Washington, DC $995 January 26 - 30, 2009 Instructor: James Byrne Atlanta, GA $995 February 9 - 13, 2009 Instructor: Neil Clayton Westminster, CO $995 February 23 - 27, 2009 Instructor: Art Casabianca Washington, DC $995 February 23 - 27, 2009 Instructor: Neil Clayton Las Vegas, NV $995 March 23 - 27, 2009 Instructor: Robert Wise Washington, DC $995 April 6 - 10, 2009 Instructor: Marguerite Scully Philadelphia, PA $995 April 13 - 17, 2009 Chicago, IL $995 April 20 - 24, 2009 Instructor: Robert Wise Washington, DC $995 May 4 - 8, 2009 Instructor: Neil Clayton San Francisco, CA $995 May 11 - 15, 2009 Instructor: James Byrne Virginia Beach, VA $995 June 1 - 5, 2009 Instructor: Art Casabianca Washington, DC $995 July 13 - 17, 2009 Instructor: Robert Wise Washington, DC $995 August 3 - 7, 2009 Instructor: Art Casabianca Washington, DC $995 August 24 - 28, 2009 Instructor: Neil Clayton San Antonio, TX $995 August 31 - September 4, 2009 Instructor: Robert Wise Washington, DC $995 September 14 - 18, 2009 Instructor: James Byrne Jacksonville, FL $995 September 21 - 25, 2009 Instructor: Neil Clayton San Diego, CA $995
Overview:
To do a management study or audit, you must collect and analyze data. How to collect and analyze the data shapes the results and reliability of the management study or audit.
This course is also part of the Certificate of Accomplishment in Program and Management Analysis .
Anyone who is responsible for collecting and analyzing data, such as management, program and systems analysts, will benefit from this course.
View Course Selection Guides .
Syllabus -- Data Collection and Analysis, PGMT7001D, Grad. School, USDA
Day one of five
Overview of the Research Process
Research in government
Phases of the research process
The purpose of the study
Problem statement
Conceptualization
Operationalizing the problem
State of hypothesis
Formulate research questions
Criteria for measurement quality
Research Design
Research methods
Experimental study
Experimental design
Day two of five
Sampling
Sampling terminology
Kinds of sampling
Determining sample size
Sampling and non sampling errors
Sample table of random numbers
Sampling exercise
Data Collection
Kinds of data
Selected secondary data
Observation
Research application of observation
Observer-subject relationship
Guidelines for good observation
Exercise on observation
Day three of five
Questionnaire
Questionnaire
Steps in developing a questionnaire
Cover letter
Parts of a questionnaire
Types of questions
Tips on writing questions
Questionnaire revision exercise
Day four of five
Interviewing
Types of interviews
Stages of an interview
Interview exercise
Day five of five
Data Analysis
Extract and organize the data
Types of scales
Raw data
Frequency distribution
Measures of central tendency
Measures of dispersion
Exercises
