ILRHR 5660
Last Updated
- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Classes
ILRHR 5660
Course Description
Course information provided by the Courses of Study 2018-2019.
The search for the ideal strategic HR metrics misses the larger issue of taking a more analytical approach toward HR decision making. Analytics requires understanding the process through which knowledge is gained, and then applying the tools and techniques to gather and analyze the right kind of data relevant to the question at hand. This course covers topics such as philosophy of science, theory development, research methodology, and data analysis and interpretation, as well as data and practices commonly used to assess the effectiveness of HR activities. Consequently, the class simultaneously addresses the types of information needed for HR decision making, as well as the processes and techniques necessary to gather, integrate, and analyze the data.
When Offered Fall or Spring.
Permission Note Enrollment limited to: graduate students.
Prerequisites/Corequisites Prerequisite: ILRHR 5600 (or equivalent), ILRST 5110, and one elective in HR studies.
Regular Academic Session.
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- M Ives Hall 116
Instructors
Collins, C
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Additional Information
The search for the ideal strategic HR metrics misses the larger issue of taking a more analytical approach toward HR decision making. Analytics requires understanding the process through which knowledge is gained, and then applying the tools and techniques to gather and analyze the right kind of data relevant to the question at hand. This course covers topics such as philosophy of science, theory development, research methodology, and data analysis and interpretation, as well as data and practices commonly used to assess the effectiveness of HR activities. Consequently, the class simultaneously addresses the types of information needed for HR decision making, as well as the processes and techniques necessary to gather, integrate, and analyze the data.
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