Impact of Break Time on Productivity: A Statistical Analysis

Frequencies
Statistics
Enough Break Number of
Breaks
Total Break Time Break Time
Impacts
Productivity
N Valid 78 78 78 78
Missing 0 0 0 0
Mode 1 2 3 1
Enough Break
Frequency Percent Valid Percent Cumulative
Percent
Valid
no 25 32.1 32.1 32.1
yes 53 67.9 67.9 100.0
Total 78 100.0 100.0
Number of Breaks
Frequency Percent Valid Percent Cumulative
Percent
Valid
1 break 12 15.4 15.4 15.4
2 breaks 46 59.0 59.0 74.4
3 breaks 17 21.8 21.8 96.2
more than 3
breaks 3 3.8 3.8 100.0
Total 78 100.0 100.0
Total Break Time
Frequency Percent Valid Percent Cumulative
Percent
Valid
less than 15 minutes 7 9.0 9.0 9.0
less than 30 minutes 22 28.2 28.2 37.2
less than 1 hour 38 48.7 48.7 85.9
more than 1 hour 11 14.1 14.1 100.0
Total 78 100.0 100.0
Break Time Impacts Productivity
Frequency Percent Valid Percent Cumulative
Percent

Valid
no 6 7.7 7.7 7.7
yes 72 92.3 92.3 100.0
Total 78 100.0 100.0
Generalized Linear Models
Model Information
Dependent Variable Break Time Impacts
Productivitya
Probability Distribution Binomial
Link Function Identity
a. The procedure models no as the response, treating
yes as the reference category.
Case Processing Summary
N Percent
Included 78 100.0%
Excluded 0 0.0%
Total 78 100.0%
Categorical Variable Information
N Percent
Dependent Variable Break Time Impacts
Productivity
no 6 7.7%
yes 72 92.3%
Total 78 100.0%
Goodness of Fita
Value df Value/df
Deviance .000 0 .
Scaled Deviance .000 0
Pearson Chi-Square .000 0 .
Scaled Pearson Chi-Square .000 0
Log Likelihoodb -1.789
Akaike's
Information
Criterion (AIC)
5.578

Finite Sample
Corrected AIC
(AICC)
5.630
Bayesian
Information
Criterion (BIC)
7.934
Consistent AIC (CAIC) 8.934
Dependent Variable: Break Time Impacts Productivity
Model: (Intercept)a
a. Information criteria are in small-is-better form.
b. The full log likelihood function is displayed and used in computing
information criteria.
Omnibus Testa
Likelihood Ratio
Chi-Square
df Sig.
.000 . .
Dependent Variable: Break Time Impacts
Productivity
Model: (Intercept)a
a. Compares the fitted model against the
intercept-only model.
Tests of Model Effects
Source Type III
Wald Chi-
Square
df Sig.
(Intercept) 6.500 1 .011
Dependent Variable: Break Time Impacts Productivity
Model: (Intercept)
Parameter Estimates
Parameter B Std. Error 95% Profile Likelihood Confidence
Interval
Hypothesis Test
Lower Upper Wald Chi-
Square
df
(Intercept) .077 .0302 .031 .150 6.500 1
(Scale) 1a

Parameter Estimates
Parameter Hypothesis Test
Sig.
(Intercept) .011
(Scale)
Dependent Variable: Break Time Impacts Productivity
Model: (Intercept)
a. Fixed at the displayed value.
Crosstabs
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Break Time Impacts
Productivity * Enough Break 78 100.0% 0 0.0% 78 100.0%
Break Time Impacts Productivity * Enough Break Crosstabulation
Enough Break Total
no yes
Break Time Impacts
Productivity
no
Count 6a 0b 6
% within Break Time Impacts
Productivity 100.0% 0.0% 100.0%
% within Enough Break 24.0% 0.0% 7.7%
% of Total 7.7% 0.0% 7.7%
yes
Count 19a 53b 72
% within Break Time Impacts
Productivity 26.4% 73.6% 100.0%
% within Enough Break 76.0% 100.0% 92.3%
% of Total 24.4% 67.9% 92.3%
Total Count 25 53 78