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BADM 621 Group Project Analysis of Key Factors in Absenteeism Rate in Classes

BADM 621 Group Project Analysis of Key Factors in Absenteeism Rate in Classes. Presented by Deepak P Gupta Subodh Chaudhari Yogesh Mardikar Graduate Students Industrial and Management Systems Engineering Oct 19, 2005. Objective. Minimize the absenteeism rate in different classes

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BADM 621 Group Project Analysis of Key Factors in Absenteeism Rate in Classes

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  1. BADM 621Group ProjectAnalysis of Key Factors in Absenteeism Rate in Classes Presented by Deepak P Gupta Subodh Chaudhari Yogesh Mardikar Graduate Students Industrial and Management Systems Engineering Oct 19, 2005

  2. Objective • Minimize the absenteeism rate in different classes • Define the factors affecting the absenteeism rate • Analyze the relationship between the factors and the absenteeism rate • Recommend the level of factors to be used in scheduling the classes

  3. Factors in Absenteeism Rate • Class level • 200, 300, 400, Graduate • Length of the class • 1 hr, 1.5 hr • Start time • Morning, Day, Afternoon/evening • Day of the class • Monday,…, Friday

  4. Methodology • Sample selection • Classes in Industrial and Management Systems Engineering (IMSE) department • Department Approval • Department Chair • Graduate Program Coordinator • Undergraduate Program Coordinator • Identify the classes to be monitored • 18 separate classes

  5. Data Collection • Obtain the number of students registered for different classes • Monitor the number of students attending classes • 82 data points collected in 2 weeks • Data collection involved counting the student at the start of the class until after 10 minutes of the start time

  6. Data Preparation • Different number of students registered in different classes • Identification of standard variable to be used for data analysis • Percentage absenteeism rate • Encoding the actual class numbers to different levels • Name of the instructor has not been included even though it may have an effect on the absenteeism rate

  7. Statistical Analysis

  8. Statistical Analysis

  9. Results • Class level vs. absenteeism rate

  10. Results • Class level vs. absenteeism rate (Contd.) • Scheffe post hoc analysis

  11. Results • Length of class vs. absenteeism rate • F-Test: Two sample for variances

  12. Results • Length of class vs. absenteeism rate (Contd.) μ1> μ2 μ1≠ μ2

  13. Results • Time of class vs. absenteeism rate • ANOVA

  14. Results • Time of class vs. absenteeism rate (Contd.) • Scheffe’s post hoc analysis

  15. Results • Day(s) of class vs. absenteeism rate • ANOVA

  16. Recommendations • To reduce absenteeism in classes • Class duration should be 1.5 hrs rather than 1 hr • More classes should be scheduled towards evening (after 2:00 PM) and times between noon and 2:00 PM should be avoided

  17. Conclusion • Effect of different factors is analyzed and the results are presented • The results can be used in making intelligent decisions about the class scheduling • Further analysis can be performed in other departments to make the analysis more realistic

  18. Questions and comments ??

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