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

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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

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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

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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

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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

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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

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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

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Statistical Analysis
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Statistical Analysis
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Results

• Class level vs. absenteeism rate

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Results

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

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Results

• Length of class vs. absenteeism rate

• F-Test Two sample for variances

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Results

• Length of class vs. absenteeism rate (Contd.)

µ1gt µ2
µ1? µ2
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Results

• Time of class vs. absenteeism rate

• ANOVA

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Results

• Time of class vs. absenteeism rate (Contd.)
• Scheffes post hoc analysis

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Results

• Day(s) of class vs. absenteeism rate

• ANOVA

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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 200 PM) and times between noon and 200
  PM should be avoided

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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

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• Questions and comments
• ??