STATEMENT OF THE PROBLEM
This study aims to assess the organizational development on process re-engineering of the Department of Environment and Natural Resources (DENR), Regional Office No. VII: Specifically, this study wants to attempt to answer the following:
## Level
## Sex 1st Level 2nd Level Sum
## FEMALE 56 86 142
## MALE 29 79 108
## Sum 85 165 250## Level
## Age 1st Level 2nd Level Sum
## 22-30 18 12 30
## 31-40 28 49 77
## 41-50 18 32 50
## 51-60 16 52 68
## 60 and above 5 20 25
## Sum 85 165 250## Level
## Status 1st Level 2nd Level Sum
## Married 51 121 172
## Separated/Divorced 1 2 3
## Single 32 39 71
## Widowed 1 3 4
## Sum 85 165 250## Level
## Position 1st Level 2nd Level Sum
## Head of Office/Division 0 7 7
## Professional/Action Officer 0 87 87
## Sub-professional worker 77 9 86
## Technical/Management Supervisory 8 62 70
## Sum 85 165 250## Level
## Service 1st Level 2nd Level Sum
## 11-15 yrs 14 21 35
## 16-20 yrs 3 11 14
## 21-25 yrs 5 16 21
## 26 yrs and above 14 57 71
## 5-10 yrs 29 47 76
## less than 5 yrs 20 13 33
## Sum 85 165 250## Level
## Training 1st Level 2nd Level Sum
## 1-20 hours 31 14 45
## 21-40 hours 25 36 61
## 41-60 hours 7 25 32
## 61-80 hours 12 27 39
## 81 hours and more 10 63 73
## Sum 85 165 250## Level
## Education 1st Level 2nd Level Sum
## 2-year Vocational Course 14 0 14
## College Graduate 59 64 123
## Master's Degree Graduate 3 44 47
## Ph Degree Graduate 0 5 5
## Post-Doctoral Degree 0 7 7
## with units in Master's Degree 9 45 54
## Sum 85 165 250## Mean Median Standard Deviation
## 1.1 3.94 4 0.76
## 1.2 4.00 4 0.72
## 1.3 3.98 4 0.74
## 1.4 4.14 4 0.73
## 1.5 3.92 4 0.76
## Average 4.00 4 0.74## Mean Median Standard Deviation
## 2.1 3.92 4 0.84
## 2.2 3.93 4 0.76
## 2.3 4.11 4 0.72
## 2.4 3.79 4 0.94
## 2.5 3.87 4 0.85
## Average 3.92 4 0.82## Mean Median Standard Deviation
## 3.1 3.96 4 0.76
## 3.2 4.07 4 0.72
## 3.3 4.07 4 0.73
## 3.4 3.93 4 0.70
## 3.5 4.00 4 0.76
## Average 4.01 4 0.73## Mean Median Standard Deviation
## 4.1 3.92 4 0.82
## 4.2 4.00 4 0.74
## 4.3 3.75 4 0.86
## 4.4 3.95 4 0.79
## 4.5 3.89 4 0.75
## Average 3.90 4 0.79## Mean Median Standard Deviation
## 5.1 3.94 4 0.71
## 5.2 3.91 4 0.76
## 5.3 3.85 4 0.71
## 5.4 3.88 4 0.76
## 5.5 3.88 4 0.68
## Average 3.89 4 0.72## Mean Median Standard Deviation
## 6.1 3.93 4 0.84
## 6.2 3.96 4 0.83
## 6.3 3.54 4 1.03
## 6.4 3.68 4 0.87
## 6.5 3.53 4 0.91
## Average 3.73 4 0.90## Mean Median Standard Deviation
## 7.1 3.65 4 0.90
## 7.2 4.05 4 0.84
## 7.3 4.03 4 0.82
## 7.4 3.72 4 0.84
## 7.5 3.69 4 0.87
## Average 3.83 4 0.85## Mean Median Standard Deviation
## 8.1 3.88 4 0.80
## 8.2 3.89 4 0.81
## 8.3 3.96 4 0.77
## 8.4 3.92 4 0.73
## 8.5 3.81 4 0.78
## Average 3.89 4 0.78
## Total Avg. 3.90 4 0.79##
## Welch Two Sample t-test
##
## data: q1 by Level
## t = -0.39727, df = 169.96, p-value = 0.6917
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1974754 0.1313079
## sample estimates:
## mean in group 1 mean in group 2
## 3.971765 4.004848##
## Welch Two Sample t-test
##
## data: q2 by Level
## t = -0.27496, df = 179.97, p-value = 0.7837
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2046277 0.1545742
## sample estimates:
## mean in group 1 mean in group 2
## 3.905882 3.930909##
## Welch Two Sample t-test
##
## data: q3 by Level
## t = -0.21316, df = 175.64, p-value = 0.8315
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1843280 0.1483921
## sample estimates:
## mean in group 1 mean in group 2
## 3.992941 4.010909##
## Welch Two Sample t-test
##
## data: q4 by Level
## t = -0.95971, df = 184.71, p-value = 0.3385
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.26341267 0.09100625
## sample estimates:
## mean in group 1 mean in group 2
## 3.844706 3.930909##
## Welch Two Sample t-test
##
## data: q5 by Level
## t = 0.29838, df = 159.06, p-value = 0.7658
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1450308 0.1966529
## sample estimates:
## mean in group 1 mean in group 2
## 3.908235 3.882424##
## Welch Two Sample t-test
##
## data: q6 by Level
## t = -0.09319, df = 159.77, p-value = 0.9259
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2151992 0.1958053
## sample estimates:
## mean in group 1 mean in group 2
## 3.720000 3.729697##
## Welch Two Sample t-test
##
## data: q7 by Level
## t = -0.71998, df = 146.21, p-value = 0.4727
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2702259 0.1259122
## sample estimates:
## mean in group 1 mean in group 2
## 3.781176 3.853333##
## Welch Two Sample t-test
##
## data: q8 by Level
## t = -0.69947, df = 161.22, p-value = 0.4853
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2469774 0.1177795
## sample estimates:
## mean in group 1 mean in group 2
## 3.851765 3.916364## Item p-value
## [1,] "Q1" "0.6917"
## [2,] "Q2" "0.7837"
## [3,] "Q3" "0.8315"
## [4,] "Q4" "0.3385"
## [5,] "Q5" "0.7658"
## [6,] "Q6" "0.9259"
## [7,] "Q7" "0.4727"
## [8,] "Q8" "0.4853"