BADM 621Group Project

Analysis of Key Factors in Absenteeism Rate in

ClassesPresented

byDeepak P Gupta

Subodh ChaudhariYogesh Mardikar

Graduate StudentsIndustrial and Management Systems Engineering

Oct 19, 2005

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

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

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

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

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

Statistical Analysis

Factor LevelsAnalysis

Type

Class Level

200

Single Factor ANOVA

300

400

Graduate

Length of Class1 hr

T-test1.5 hr

Statistical Analysis

Factor LevelsAnalysis

Type

Time of Class

Before 12:00 PMSingle Factor

ANOVA12:00 PM to 2:00 PM

After 2:00 PM

Day of the Class

Mon-WedSingle Factor

ANOVATue-TR

Mon-Wed-Fri

Results Class level vs. absenteeism rate

Groups Count Sum Average Variance

200 11 2.514732713 0.228612 0.004428

300 32 7.581687593 0.236928 0.009889

400 13 2.023099415 0.155623 0.011884

Graduate 21 3.398076923 0.161813 0.009005

ANOVA

Source of Variation SS df MS F P-value F critical

Between Groups 0.10868 3 0.036229 3.926612 0.01175 2.730019

Within Groups 0.67353 73 0.009226

Total 0.78222 76

Results Class level vs. absenteeism rate

(Contd.) Scheffe post hoc analysisGroup 1 Group 2 Group 3

Group LL UL Sign LL UL Sign LL UL Sign

1

2 0.10439 -0.0877

3 0.03962 -0.1856 0.00910 -0.1717

4 0.03551 -0.1691 0.00208 -0.1523 0.1032 -0.0908

Results

Length of class vs. absenteeism rateTwo Tail t – Test Hypothesis

Ho μ1 = μ2 Absenteeism rates are equal

Ha μ1 ≠ μ2 Absenteeism rates are not equal

  1 hr 1.5 hr

Mean 0.234078267 0.185827707

Variance 0.009302513 0.009968458

Observations 26 56

df 25 55

F 0.933194742

P(F<=f) one-tail 0.437368228

F Critical one-tail 0.546133805  

F-Test: Two sample for variances

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

1 hr 1.5 hr

Mean 0.234078267 0.185827707

Variance 0.009302513 0.009968458

Observations 26 56

Pooled Variance 0.00976035

Hypothesized Mean Difference 0

df 80

t Stat 2.057990729

P(T<=t) one-tail 0.021423634

t Critical one-tail 1.664125193

P(T<=t) two-tail 0.042847268

t Critical two-tail 1.990065357

μ1> μ2

μ1≠ μ2

Results Time of class vs. absenteeism rate

Groups Count Sum Average Variance

Morning (<1200 hrs) 32 6.278389 0.1961997 0.012525

Afternoon ((≥ 1200 hrs & ≤ 1400 hrs)

27 6.445175 0.2387102 0.006347

Evening (> 1400 hrs) 23 3.768822 0.1638618 0.009

Source of Variation SS df MS F P-value F crit

Between Groups 0.070854 2 0.0354271 3.72514 0.028444 3.112262

Within Groups 0.751312 79 0.0095103

Total 0.822166 81

ANOVA

Results Time of class vs. absenteeism rate

(Contd.) Scheffe’s post hoc analysis

Group 1 Group 2

Group LL UL Sign LL UL Sign

1            

2 0.10609 -0.02107  Not Significant      

3 0.034173 -0.09885  Not significant -0.00581 -0.14389 SIGNIFICANT

Results Day(s) of class vs. absenteeism rate

Groups Count Sum Average Variance

MWF 24 562.1749 23.42396 94.17862

MW 20 374.6218 18.73109 112.0669

TR 36 666.0134 18.50037 95.79131

ANOVA

Source of Variation SS df MS F P-value F crit

Between Groups 394.4271 2 197.2136 1.985525 0.144277 3.11536

Within Groups 7648.076 77 99.32566

Total 8042.503 79

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

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

Questions and comments??