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The purpose of this course is to prepare PhD students for the process of data review, cleaning, and analysis required for conducting high quality, quantitative research. Students should have access to a data set they can actively use in class.
This course is not delivered by distance media; it is driven by an agreement between the instructor and the student. Typical examples are thesis, research, internship, and other courses where the objectives and activities are determined jointly by the instructor and the student. In most cases, the agreement on course activities and objectives is reached with the student and advisor or instructor before enrollment in the course. During the course, the instructor and student communicate by any convenient means, usually phone and email.
This course has an online component delivered through Canvas.
Students are expected to have completed graduate introductory courses in both quantitative and qualitative research methods.
Must be enrolled in one of the following Levels: Graduate (GR) OR Professional (PR)
Students please check with your advisor about the number of credits in which to enroll.
9704911157 | Thomas.Chermack@colostate.edu
Thomas J. Chermack is a Professor at Colorado State University in the Organizational Performance and Change program.
Chermack worked as a consultant with Personnel Decisions International for eight years leading efforts in training, change management initiatives, organization development interventions and high performance work team initiations. During this time he also began his path into academics. Chermack's research focuses on the process and products of scenario planning (an alternative to traditional strategic planning). This unique approach to planning was born at Royal Dutch / Shell Oil and is largely credited with the ability to anticipate and navigate fundamental market changes and shifts.
He has authored over 50 research reports, and his research has appeared in scholarly publications such as Futures, Futures Research Quarterly, Human Resource Development Review, The Academy of Strategic Management Journal, and the Journal of Leadership and Organizational Studies among others.
Date
Aug 19 - Dec 8, 2024 (16 wks.)
Time:
Drop and withdrawal deadlines
100% tuition and fees refunded
September 4, 2024
50% tuition refunded with 'W' grade
October 14, 2024
No tuition refunded and 'W' grade
November 11, 2024
Instructors:
Tuition
$619 per credit
Listed tuition is subject to Board of Governors’ approval in early summer
This section requires permission to register
Date
Aug 19 - Dec 8, 2024 (16 wks.)
Time:
Drop and withdrawal deadlines
100% tuition and fees refunded
September 4, 2024
50% tuition refunded with 'W' grade
October 14, 2024
No tuition refunded and 'W' grade
November 11, 2024
Instructors:
Tuition
$905 per credit
Listed tuition is subject to Board of Governors’ approval in early summer
This section requires permission to register
Date
Aug 19 - Dec 8, 2024 (16 wks.)
Time:
Drop and withdrawal deadlines
100% tuition and fees refunded
September 4, 2024
50% tuition refunded with 'W' grade
October 14, 2024
No tuition refunded and 'W' grade
November 11, 2024
Instructors:
Tuition
$905 per credit
Listed tuition is subject to Board of Governors’ approval in early summer
This section requires permission to register
Date
Aug 19 - Dec 8, 2024 (16 wks.)
Time:
Drop and withdrawal deadlines
100% tuition and fees refunded
September 4, 2024
50% tuition refunded with 'W' grade
October 14, 2024
No tuition refunded and 'W' grade
November 11, 2024
Instructors:
Tuition
$932 per credit
Listed tuition is subject to Board of Governors’ approval in early summer
This section requires permission to register
Date
Aug 19 - Dec 8, 2024 (16 wks.)
Time:
Drop and withdrawal deadlines
100% tuition and fees refunded
September 4, 2024
50% tuition refunded with 'W' grade
October 14, 2024
No tuition refunded and 'W' grade
November 11, 2024
Instructors:
Tuition
$960 per credit
Listed tuition is subject to Board of Governors’ approval in early summer
This section requires permission to register