Analysis

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: Basis of Program Improvement

## thesis 
## 
##  48  Variables      250  Observations
## --------------------------------------------------------------------------------
## Level 
##        n  missing distinct 
##      250        0        2 
##                               
## Value      1st Level 2nd Level
## Frequency         85       165
## Proportion      0.34      0.66
## --------------------------------------------------------------------------------
## Sex 
##        n  missing distinct 
##      250        0        2 
##                         
## Value      FEMALE   MALE
## Frequency     142    108
## Proportion  0.568  0.432
## --------------------------------------------------------------------------------
## Age 
##        n  missing distinct 
##      250        0        5 
## 
## lowest : 22-30        31-40        41-50        51-60        60 and above
## highest: 22-30        31-40        41-50        51-60        60 and above
##                                                                            
## Value             22-30        31-40        41-50        51-60 60 and above
## Frequency            30           77           50           68           25
## Proportion        0.120        0.308        0.200        0.272        0.100
## --------------------------------------------------------------------------------
## Status 
##        n  missing distinct 
##      250        0        4 
##                                                                    
## Value                 Married Separated/Divorced             Single
## Frequency                 172                  3                 71
## Proportion              0.688              0.012              0.284
##                              
## Value                 Widowed
## Frequency                   4
## Proportion              0.016
## --------------------------------------------------------------------------------
## Position 
##        n  missing distinct 
##      250        0        4 
##                                                                             
## Value               Head of Office/Division      Professional/Action Officer
## Frequency                                 7                               87
## Proportion                            0.028                            0.348
##                                                                             
## Value               Sub-professional worker Technical/Management Supervisory
## Frequency                                86                               70
## Proportion                            0.344                            0.280
## --------------------------------------------------------------------------------
## Service 
##        n  missing distinct 
##      250        0        6 
## 
## lowest : 11-15 yrs        16-20 yrs        21-25 yrs        26 yrs and above 5-10  yrs       
## highest: 16-20 yrs        21-25 yrs        26 yrs and above 5-10  yrs        less than 5 yrs 
##                                                                               
## Value             11-15 yrs        16-20 yrs        21-25 yrs 26 yrs and above
## Frequency                35               14               21               71
## Proportion            0.140            0.056            0.084            0.284
##                                             
## Value             5-10  yrs  less than 5 yrs
## Frequency                76               33
## Proportion            0.304            0.132
## --------------------------------------------------------------------------------
## Training 
##        n  missing distinct 
##      250        0        5 
## 
## lowest : 1-20 hours        21-40 hours       41-60 hours       61-80 hours       81 hours and more
## highest: 1-20 hours        21-40 hours       41-60 hours       61-80 hours       81 hours and more
##                                                                 
## Value             1-20 hours       21-40 hours       41-60 hours
## Frequency                 45                61                32
## Proportion             0.180             0.244             0.128
##                                               
## Value            61-80 hours 81 hours and more
## Frequency                 39                73
## Proportion             0.156             0.292
## --------------------------------------------------------------------------------
## Education 
##        n  missing distinct 
##      250        0        6 
## 
## lowest : 2-year Vocational Course      College Graduate              Master's Degree Graduate      Ph Degree Graduate            Post-Doctoral Degree         
## highest: College Graduate              Master's Degree Graduate      Ph Degree Graduate            Post-Doctoral Degree          with units in Master's Degree
## 
## 2-year Vocational Course (14, 0.056), College Graduate (123, 0.492), Master's
## Degree Graduate (47, 0.188), Ph Degree Graduate (5, 0.020), Post-Doctoral
## Degree (7, 0.028), with units in Master's Degree (54, 0.216)
## --------------------------------------------------------------------------------
## q1.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.818    3.936   0.7866 
##                                   
## Value          2     3     4     5
## Frequency     11    48   137    54
## Proportion 0.044 0.192 0.548 0.216
## --------------------------------------------------------------------------------
## q1.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.831        4    0.752 
##                                   
## Value          2     3     4     5
## Frequency      3    55   131    61
## Proportion 0.012 0.220 0.524 0.244
## --------------------------------------------------------------------------------
## q1.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.849    3.976   0.7886 
##                                   
## Value          2     3     4     5
## Frequency      4    60   124    62
## Proportion 0.016 0.240 0.496 0.248
## --------------------------------------------------------------------------------
## q1.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.832    4.136   0.7598 
##                                   
## Value          2     3     4     5
## Frequency      5    37   127    81
## Proportion 0.020 0.148 0.508 0.324
## --------------------------------------------------------------------------------
## q1.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.844     3.92   0.7969 
##                                   
## Value          2     3     4     5
## Frequency      7    61   127    55
## Proportion 0.028 0.244 0.508 0.220
## --------------------------------------------------------------------------------
## q2.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.861     3.92   0.8833 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2    11    54   121    62
## Proportion 0.008 0.044 0.216 0.484 0.248
## --------------------------------------------------------------------------------
## q2.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.798    3.928   0.7604 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2     7    48   143    50
## Proportion 0.008 0.028 0.192 0.572 0.200
## --------------------------------------------------------------------------------
## q2.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.811    4.108   0.7301 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1     3    37   136    73
## Proportion 0.004 0.012 0.148 0.544 0.292
## --------------------------------------------------------------------------------
## q2.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.872    3.788   0.9893 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      6    18    53   119    54
## Proportion 0.024 0.072 0.212 0.476 0.216
## --------------------------------------------------------------------------------
## q2.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.852    3.868    0.889 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2    15    52   126    55
## Proportion 0.008 0.060 0.208 0.504 0.220
## --------------------------------------------------------------------------------
## q3.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.817    3.956   0.7796 
##                                   
## Value          2     3     4     5
## Frequency     10    47   137    56
## Proportion 0.040 0.188 0.548 0.224
## --------------------------------------------------------------------------------
## q3.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.825    4.072    0.748 
##                                   
## Value          2     3     4     5
## Frequency      4    44   132    70
## Proportion 0.016 0.176 0.528 0.280
## --------------------------------------------------------------------------------
## q3.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.817    4.068   0.7498 
##                                   
## Value          2     3     4     5
## Frequency      6    40   135    69
## Proportion 0.024 0.160 0.540 0.276
## --------------------------------------------------------------------------------
## q3.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.768    3.932   0.6986 
##                                   
## Value          2     3     4     5
## Frequency      8    46   151    45
## Proportion 0.032 0.184 0.604 0.180
## --------------------------------------------------------------------------------
## q3.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.833    3.996   0.7898 
##                                   
## Value          2     3     4     5
## Frequency      8    48   131    63
## Proportion 0.032 0.192 0.524 0.252
## --------------------------------------------------------------------------------
## q4.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.809    3.924   0.8197 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      4     9    43   140    54
## Proportion 0.016 0.036 0.172 0.560 0.216
## --------------------------------------------------------------------------------
## q4.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.821    3.996   0.7582 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1     4    50   135    60
## Proportion 0.004 0.016 0.200 0.540 0.240
## --------------------------------------------------------------------------------
## q4.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.863    3.748   0.9032 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      4    13    69   120    44
## Proportion 0.016 0.052 0.276 0.480 0.176
## --------------------------------------------------------------------------------
## q4.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.837    3.948   0.8181 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2     7    52   130    59
## Proportion 0.008 0.028 0.208 0.520 0.236
## --------------------------------------------------------------------------------
## q4.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.794    3.892   0.7524 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2     7    52   144    45
## Proportion 0.008 0.028 0.208 0.576 0.180
## --------------------------------------------------------------------------------
## q5.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.823    3.936   0.7449 
##                                   
## Value          2     3     4     5
## Frequency      4    60   134    52
## Proportion 0.016 0.240 0.536 0.208
## --------------------------------------------------------------------------------
## q5.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.829    3.912   0.7873 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1     7    57   133    52
## Proportion 0.004 0.028 0.228 0.532 0.208
## --------------------------------------------------------------------------------
## q5.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.807    3.848   0.7329 
##                                   
## Value          2     3     4     5
## Frequency      7    64   139    40
## Proportion 0.028 0.256 0.556 0.160
## --------------------------------------------------------------------------------
## q5.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.829    3.884   0.7912 
##                                   
## Value          2     3     4     5
## Frequency     10    58   133    49
## Proportion 0.040 0.232 0.532 0.196
## --------------------------------------------------------------------------------
## q5.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        4    0.783    3.876   0.6901 
##                                   
## Value          2     3     4     5
## Frequency      5    60   146    39
## Proportion 0.020 0.240 0.584 0.156
## --------------------------------------------------------------------------------
## q6.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5     0.83    3.928    0.851 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      5     7    47   133    58
## Proportion 0.020 0.028 0.188 0.532 0.232
## --------------------------------------------------------------------------------
## q6.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.852    3.956   0.8579 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      3     7    52   124    64
## Proportion 0.012 0.028 0.208 0.496 0.256
## --------------------------------------------------------------------------------
## q6.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5      0.9    3.536    1.104 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency     12    26    67   106    39
## Proportion 0.048 0.104 0.268 0.424 0.156
## --------------------------------------------------------------------------------
## q6.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.864     3.68   0.9186 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      4    18    70   120    38
## Proportion 0.016 0.072 0.280 0.480 0.152
## --------------------------------------------------------------------------------
## q6.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.889    3.532   0.9771 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      6    20    94    95    35
## Proportion 0.024 0.080 0.376 0.380 0.140
## --------------------------------------------------------------------------------
## q7.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.872    3.652    0.952 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      5    20    70   117    38
## Proportion 0.020 0.080 0.280 0.468 0.152
## --------------------------------------------------------------------------------
## q7.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.844    4.048   0.8569 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      3     9    37   125    76
## Proportion 0.012 0.036 0.148 0.500 0.304
## --------------------------------------------------------------------------------
## q7.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.841    4.028   0.8455 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2    10    39   127    72
## Proportion 0.008 0.040 0.156 0.508 0.288
## --------------------------------------------------------------------------------
## q7.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.872    3.724   0.8883 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2    13    80   112    43
## Proportion 0.008 0.052 0.320 0.448 0.172
## --------------------------------------------------------------------------------
## q7.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.868    3.692   0.9096 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      5    12    78   115    40
## Proportion 0.020 0.048 0.312 0.460 0.160
## --------------------------------------------------------------------------------
## q8.1 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.859     3.88   0.8481 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1     9    64   121    55
## Proportion 0.004 0.036 0.256 0.484 0.220
## --------------------------------------------------------------------------------
## q8.2 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.848    3.892   0.8492 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1    12    55   127    55
## Proportion 0.004 0.048 0.220 0.508 0.220
## --------------------------------------------------------------------------------
## q8.3 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.837    3.964   0.8027 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1     7    52   130    60
## Proportion 0.004 0.028 0.208 0.520 0.240
## --------------------------------------------------------------------------------
## q8.4 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.799    3.924   0.7331 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      2     3    55   142    48
## Proportion 0.008 0.012 0.220 0.568 0.192
## --------------------------------------------------------------------------------
## q8.5 
##        n  missing distinct     Info     Mean      Gmd 
##      250        0        5    0.843    3.812   0.8177 
## 
## lowest : 1 2 3 4 5, highest: 1 2 3 4 5
##                                         
## Value          1     2     3     4     5
## Frequency      1    10    68   127    44
## Proportion 0.004 0.040 0.272 0.508 0.176
## --------------------------------------------------------------------------------

1. What is the profile of the two groups (first-level and second-level positions) of respondents in terms of:

1.1 Gender

##         Level
## Sex      1st Level 2nd Level Sum
##   FEMALE        56        86 142
##   MALE          29        79 108
##   Sum           85       165 250

1.2 Age

##               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

1.3 Civil Status

##                     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

1.4 Position Title

##                                   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

1.5 Length of Service

##                   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

1.6 Number of Hours of Training Attended for the Last 5ive Years

##                    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

1.7 Highest Educational Attainment

##                                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

2. What is the level of organizational development on process re-engineering practices of the DENR, Region 7 as assessed by the two groups of respondents in terms of:

2.1 deployment and dissemination of vision;

##      Mean Median
## q1.1 3.94      4
## q1.2 4.00      4
## q1.3 3.98      4
## q1.4 4.14      4
## q1.5 3.92      4

2.2 leadership;

##      Mean Median
## q2.1 3.92      4
## q2.2 3.93      4
## q2.3 4.11      4
## q2.4 3.79      4
## q2.5 3.87      4

2.3 inter-coordination and cross-functional activities;

##      Mean Median
## q3.1 3.96      4
## q3.2 4.07      4
## q3.3 4.07      4
## q3.4 3.93      4
## q3.5 4.00      4

2.4 involvement of employees as process owners;

##      Mean Median
## q4.1 3.92      4
## q4.2 4.00      4
## q4.3 3.75      4
## q4.4 3.95      4
## q4.5 3.89      4

2.5 provisions of facilities and equipment;

##      Mean Meadian
## q5.1 3.94       4
## q5.2 3.91       4
## q5.3 3.85       4
## q5.4 3.88       4
## q5.5 3.88       4

2.6 professional development;

##      Mean Median
## q6.1 3.93      4
## q6.2 3.96      4
## q6.3 3.54      4
## q6.4 3.68      4
## q6.5 3.53      4

2.7 rewards and recognition; and

##      Mean Median
## q7.1 3.65      4
## q7.2 4.05      4
## q7.3 4.03      4
## q7.4 3.72      4
## q7.5 3.69      4

2.8 provisions of online services

##      Mean Median
## q8.1 3.88      4
## q8.2 3.89      4
## q8.3 3.96      4
## q8.4 3.92      4
## q8.5 3.81      4

3. Are there any significant differences between the profile of the two groups of respondents and their responses on the level of process re-engineering practices of the DENR Region 7 when grouped according to their socio demographic profile?

3.1 Re-engineering Practice VS Sex

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Sex          1  1.117  1.1166   2.939 0.0902 .
## Residuals   83 31.536  0.3799                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.43  0.4319   1.109  0.294
## Residuals   163  63.48  0.3895

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Sex          1   0.45  0.4492   1.013  0.317
## Residuals   83  36.80  0.4433

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.72  0.7235   1.433  0.233
## Residuals   163  82.29  0.5048

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Sex          1  1.208  1.2083   3.195 0.0775 .
## Residuals   83 31.387  0.3782                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.98  0.9756   2.347  0.127
## Residuals   163  67.76  0.4157

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Sex          1   1.70  1.7026   4.185 0.0439 *
## Residuals   83  33.77  0.4068                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Sex           1   1.66  1.6563   3.283 0.0718 .
## Residuals   163  82.24  0.5045                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Sex          1   0.27  0.2676   0.605  0.439
## Residuals   83  36.74  0.4426

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.20  0.2026   0.532  0.467
## Residuals   163  62.04  0.3806

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Sex          1   0.45  0.4463     0.7  0.405
## Residuals   83  52.93  0.6377

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.03  0.0323   0.058   0.81
## Residuals   163  90.67  0.5563

Question 7

Level 1

##             Df Sum Sq Mean Sq F value  Pr(>F)   
## Sex          1   5.18   5.177    9.06 0.00346 **
## Residuals   83  47.43   0.571                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.65  0.6533   1.484  0.225
## Residuals   163  71.76  0.4402

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Sex          1   1.16  1.1556   2.361  0.128
## Residuals   83  40.62  0.4894

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   1.13  1.1254   2.571  0.111
## Residuals   163  71.36  0.4378

3.2 Re-engineering Practice VS Age

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.27  0.2704   0.693  0.407
## Residuals   83  32.38  0.3901

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.71  0.7120   1.836  0.177
## Residuals   163  63.20  0.3878

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.02  0.0209   0.047   0.83
## Residuals   83  37.23  0.4485

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Age           1   1.71  1.7133   3.435 0.0656 .
## Residuals   163  81.30  0.4988                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.18  0.1831   0.469  0.495
## Residuals   83  32.41  0.3905

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Age           1   1.49  1.4915   3.615  0.059 .
## Residuals   163  67.25  0.4126                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.05  0.0526   0.123  0.726
## Residuals   83  35.42  0.4267

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.63  0.6257   1.225   0.27
## Residuals   163  83.27  0.5108

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.55  0.5495   1.251  0.267
## Residuals   83  36.45  0.4392

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.39  0.3924   1.034  0.311
## Residuals   163  61.85  0.3794

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.66  0.6566   1.034  0.312
## Residuals   83  52.72  0.6352

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.63  0.6281   1.137  0.288
## Residuals   163  90.08  0.5526

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.52  0.5224   0.832  0.364
## Residuals   83  52.09  0.6276

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.84  0.8380   1.909  0.169
## Residuals   163  71.57  0.4391

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Age          1   0.81  0.8124   1.646  0.203
## Residuals   83  40.96  0.4935

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.36  0.3563   0.805  0.371
## Residuals   163  72.13  0.4425

3.3 Re-engineering Practice VS Civil Status

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.02  0.0247   0.063  0.803
## Residuals   83  32.63  0.3931

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.04  0.0386   0.099  0.754
## Residuals   163  63.88  0.3919

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.23  0.2252   0.505  0.479
## Residuals   83  37.02  0.4460

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.44  0.4373   0.863  0.354
## Residuals   163  82.58  0.5066

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.00  0.0014   0.004  0.952
## Residuals   83  32.59  0.3927

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.11  0.1084   0.258  0.612
## Residuals   163  68.63  0.4211

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.40  0.4009   0.949  0.333
## Residuals   83  35.07  0.4225

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.65  0.6510   1.275  0.261
## Residuals   163  83.24  0.5107

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.11  0.1115   0.251  0.618
## Residuals   83  36.89  0.4445

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.15  0.1483   0.389  0.534
## Residuals   163  62.09  0.3809

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.02  0.0191    0.03  0.863
## Residuals   83  53.36  0.6429

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1    0.0  0.0031   0.005  0.941
## Residuals   163   90.7  0.5565

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.14  0.1397   0.221   0.64
## Residuals   83  52.47  0.6322

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.16  0.1599   0.361  0.549
## Residuals   163  72.25  0.4433

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Status       1   0.03  0.0300    0.06  0.808
## Residuals   83  41.74  0.5029

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.04  0.0411   0.093  0.761
## Residuals   163  72.44  0.4444

3.4 Re-engineering Practice VS Position

Question 1

Level 1

##             Df Sum Sq Mean Sq F value  Pr(>F)   
## Position     1  3.768   3.768   10.83 0.00147 **
## Residuals   83 28.884   0.348                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.69   3.689   9.985 0.00188 **
## Residuals   163  60.23   0.369                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Position     1   2.38  2.3799   5.665 0.0196 *
## Residuals   83  34.87  0.4201                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.49   3.490   7.154 0.00824 **
## Residuals   163  79.52   0.488                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 3

Level 1

##             Df Sum Sq Mean Sq F value  Pr(>F)   
## Position     1  2.992  2.9919   8.388 0.00483 **
## Residuals   83 29.604  0.3567                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Position      1   2.53  2.5269   6.221 0.0136 *
## Residuals   163  66.21  0.4062                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Position     1   0.82  0.8231   1.972  0.164
## Residuals   83  34.65  0.4174

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Position      1   2.98  2.9809   6.005 0.0153 *
## Residuals   163  80.91  0.4964                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Position     1   1.92  1.9240   4.552 0.0358 *
## Residuals   83  35.08  0.4227                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Position      1   1.41  1.4146   3.791 0.0533 .
## Residuals   163  60.82  0.3732                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 6

Level 1

##             Df Sum Sq Mean Sq F value  Pr(>F)   
## Position     1   5.03   5.034   8.643 0.00425 **
## Residuals   83  48.34   0.582                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Position      1   6.57   6.565   12.72 0.000476 ***
## Residuals   163  84.14   0.516                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Position     1   3.95   3.950   6.738 0.0112 *
## Residuals   83  48.66   0.586                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.76   3.758   8.924 0.00325 **
## Residuals   163  68.65   0.421                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 8

Level 1

##             Df Sum Sq Mean Sq F value  Pr(>F)   
## Position     1   4.31   4.305   9.538 0.00274 **
## Residuals   83  37.47   0.451                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   4.32   4.316   10.32 0.00159 **
## Residuals   163  68.17   0.418                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

3.5 Re-engineering Practice VS Length of Service

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   1.03   1.026   2.692  0.105
## Residuals   83  31.63   0.381

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.61  0.6052   1.558  0.214
## Residuals   163  63.31  0.3884

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.40  0.4003   0.902  0.345
## Residuals   83  36.85  0.4439

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.63  0.6333   1.253  0.265
## Residuals   163  82.38  0.5054

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.48  0.4818   1.245  0.268
## Residuals   83  32.11  0.3869

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.68  0.6824   1.634  0.203
## Residuals   163  68.06  0.4175

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.70  0.6995    1.67    0.2
## Residuals   83  34.77  0.4189

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.02  0.0221   0.043  0.836
## Residuals   163  83.87  0.5145

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.78  0.7758   1.777  0.186
## Residuals   83  36.23  0.4365

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.82  0.8219   2.181  0.142
## Residuals   163  61.42  0.3768

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.22  0.2212   0.345  0.558
## Residuals   83  53.15  0.6404

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.06  0.0617   0.111  0.739
## Residuals   163  90.64  0.5561

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   0.34  0.3409   0.541  0.464
## Residuals   83  52.27  0.6297

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.07  0.0653   0.147  0.702
## Residuals   163  72.35  0.4438

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Service      1   1.22  1.2218   2.501  0.118
## Residuals   83  40.55  0.4886

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.13  0.1303   0.294  0.589
## Residuals   163  72.36  0.4439

3.6 Re-engineering Practice VS Training

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Training     1   1.48  1.4801   3.941 0.0504 .
## Residuals   83  31.17  0.3756                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.12  0.1178   0.301  0.584
## Residuals   163  63.80  0.3914

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   0.32  0.3155   0.709  0.402
## Residuals   83  36.93  0.4450

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.06  0.0613   0.121  0.729
## Residuals   163  82.95  0.5089

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   0.33  0.3321   0.854  0.358
## Residuals   83  32.26  0.3887

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.02  0.0238   0.056  0.813
## Residuals   163  68.72  0.4216

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   0.27  0.2681   0.632  0.429
## Residuals   83  35.20  0.4241

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.09  0.0920   0.179  0.673
## Residuals   163  83.80  0.5141

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   0.16  0.1605   0.362  0.549
## Residuals   83  36.84  0.4439

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.61  0.6124    1.62  0.205
## Residuals   163  61.63  0.3781

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   1.18  1.1849   1.884  0.174
## Residuals   83  52.19  0.6288

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.05  0.0461   0.083  0.774
## Residuals   163  90.66  0.5562

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   1.11  1.1124   1.793  0.184
## Residuals   83  51.50  0.6205

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.01  0.0056   0.013  0.911
## Residuals   163  72.41  0.4442

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Training     1   0.43  0.4314   0.866  0.355
## Residuals   83  41.34  0.4981

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.20  0.2003   0.452  0.502
## Residuals   163  72.29  0.4435

3.7 Re-engineering Practice VS Education

Question 1

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.00  0.0015   0.004  0.951
## Residuals   83  32.65  0.3934

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.25  0.2536   0.649  0.422
## Residuals   163  63.66  0.3906

Question 2

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.39  0.3925   0.884   0.35
## Residuals   83  36.85  0.4440

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.05  0.0525   0.103  0.749
## Residuals   163  82.96  0.5090

Question 3

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.46  0.4557   1.177  0.281
## Residuals   83  32.14  0.3872

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.00  0.0000       0  0.993
## Residuals   163  68.74  0.4217

Question 4

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)  
## Education    1   1.50  1.5001   3.665  0.059 .
## Residuals   83  33.97  0.4093                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.02  0.0163   0.032  0.859
## Residuals   163  83.88  0.5146

Question 5

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.31  0.3128   0.708  0.403
## Residuals   83  36.69  0.4421

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.27  0.2654   0.698  0.405
## Residuals   163  61.97  0.3802

Question 6

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   1.00   1.002   1.587  0.211
## Residuals   83  52.37   0.631

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.16  0.1633   0.294  0.588
## Residuals   163  90.54  0.5555

Question 7

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.89  0.8903   1.429  0.235
## Residuals   83  51.72  0.6231

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.00  0.0020   0.004  0.947
## Residuals   163  72.41  0.4442

Question 8

Level 1

##             Df Sum Sq Mean Sq F value Pr(>F)
## Education    1   0.62  0.6185   1.247  0.267
## Residuals   83  41.15  0.4958

Level 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.09  0.0875   0.197  0.658
## Residuals   163  72.40  0.4442

4. Are there any significant differences in the assessments of the two groups of respondents in terms of organizational development on process re-engineering practices of the DENR, Region 7 when grouped according to their socio demographic profile?

4.1 Re-engineering Practice VS Sex

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Sex           1   1.35  1.3473   3.507 0.0623 .
## Residuals   248  95.28  0.3842                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1    1.2  1.2003   2.499  0.115
## Residuals   248  119.1  0.4802

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Sex           1   2.07  2.0748   5.183 0.0237 *
## Residuals   248  99.28  0.4003                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 4

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Sex           1   3.49   3.488   7.438 0.00684 **
## Residuals   248 116.29   0.469                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.40  0.3995   1.002  0.318
## Residuals   248  98.88  0.3987

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Sex           1   0.28  0.2806   0.484  0.487
## Residuals   248 143.81  0.5799

Question 7

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Sex           1   4.01   4.013   8.204 0.00454 **
## Residuals   248 121.30   0.489                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Sex           1   2.35  2.3493   5.195 0.0235 *
## Residuals   248 112.14  0.4522                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

4.2 Re-engineering Practice VS Age

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.18  0.1795   0.462  0.498
## Residuals   248  96.45  0.3889

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.99  0.9852   2.048  0.154
## Residuals   248 119.31  0.4811

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.56  0.5618   1.382  0.241
## Residuals   248 100.79  0.4064

Question 4

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1    0.4  0.4047   0.841   0.36
## Residuals   248  119.4  0.4813

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.00  0.0008   0.002  0.965
## Residuals   248  99.28  0.4003

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1   0.03  0.0318   0.055  0.815
## Residuals   248 144.05  0.5809

Question 7

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Age           1   1.58  1.5774   3.162 0.0766 .
## Residuals   248 123.74  0.4989                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)
## Age           1    0.0  0.0039   0.008  0.927
## Residuals   248  114.5  0.4616

4.3 Re-engineering Practice VS Civil Status

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.01  0.0088   0.023  0.881
## Residuals   248  96.62  0.3896

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.05  0.0456   0.094  0.759
## Residuals   248 120.25  0.4849

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.05  0.0484   0.118  0.731
## Residuals   248 101.31  0.4085

Question 4

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.03  0.0299   0.062  0.804
## Residuals   248 119.75  0.4829

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.02  0.0168   0.042  0.838
## Residuals   248  99.26  0.4003

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.01  0.0137   0.024  0.878
## Residuals   248 144.07  0.5809

Question 7

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1   0.22  0.2193   0.435   0.51
## Residuals   248 125.09  0.5044

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)
## Status        1    0.0  0.0001       0  0.991
## Residuals   248  114.5  0.4617

4.4 Re-engineering Practice VS Position

Question 1

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Position      1   4.57   4.567    12.3 0.000537 ***
## Residuals   248  92.06   0.371                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 2

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.63    3.63   7.718 0.00589 **
## Residuals   248 116.66    0.47                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 3

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.13  3.1332   7.911 0.00531 **
## Residuals   248  98.22  0.3961                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 4

##              Df Sum Sq Mean Sq F value  Pr(>F)   
## Position      1   3.51   3.507   7.481 0.00668 **
## Residuals   248 116.27   0.469                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Position      1   1.35  1.3538   3.429 0.0653 .
## Residuals   248  97.93  0.3949                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 6

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Position      1   6.45   6.452   11.62 0.000759 ***
## Residuals   248 137.63   0.555                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 7

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Position      1   5.59   5.586   11.57 0.000781 ***
## Residuals   248 119.73   0.483                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Question 8

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Position      1   5.99   5.987   13.68 0.000266 ***
## Residuals   248 108.51   0.438                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

4.5 Re-engineering Practice VS Length of Service

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.02  0.0202   0.052   0.82
## Residuals   248  96.61  0.3896

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.12  0.1194   0.246   0.62
## Residuals   248 120.18  0.4846

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1    0.1  0.1045   0.256  0.613
## Residuals   248  101.2  0.4083

Question 4

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.03  0.0273   0.057  0.812
## Residuals   248 119.75  0.4829

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.04  0.0411   0.103  0.749
## Residuals   248  99.24  0.4002

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1    0.0  0.0013   0.002  0.963
## Residuals   248  144.1  0.5810

Question 7

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.43  0.4337   0.861  0.354
## Residuals   248 124.88  0.5035

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)
## Service       1   0.03  0.0330   0.071  0.789
## Residuals   248 114.46  0.4615

4.6 Re-engineering Practice VS Training

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   1.02  1.0167   2.637  0.106
## Residuals   248  95.61  0.3855

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.03  0.0347   0.072  0.789
## Residuals   248 120.26  0.4849

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.06  0.0600   0.147  0.702
## Residuals   248 101.29  0.4084

Question 4

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.09  0.0850   0.176  0.675
## Residuals   248 119.69  0.4826

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.54  0.5397   1.356  0.245
## Residuals   248  98.74  0.3981

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1    0.6  0.6034   1.043  0.308
## Residuals   248  143.5  0.5786

Question 7

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.51  0.5106   1.015  0.315
## Residuals   248 124.80  0.5032

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)
## Training      1   0.76  0.7618   1.661  0.199
## Residuals   248 113.73  0.4586

4.7 Re-engineering Practice VS Highest Educational Attainment

Question 1

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.29  0.2899   0.746  0.388
## Residuals   248  96.34  0.3885

Question 2

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1    0.0   0.003   0.006  0.937
## Residuals   248  120.3   0.485

Question 3

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.03  0.0282   0.069  0.793
## Residuals   248 101.33  0.4086

Question 4

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1    0.0  0.0005   0.001  0.974
## Residuals   248  119.8  0.4830

Question 5

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.50  0.4958   1.245  0.266
## Residuals   248  98.78  0.3983

Question 6

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1    0.0  0.0002       0  0.986
## Residuals   248  144.1  0.5810

Question 7

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1    0.0  0.0017   0.003  0.954
## Residuals   248  125.3  0.5053

Question 8

##              Df Sum Sq Mean Sq F value Pr(>F)
## Education     1   0.08  0.0838   0.182   0.67
## Residuals   248 114.41  0.4613

Analysis

2023-10-03

1. What is the profile of the two groups (first-level and second-level positions) of respondents in terms of:

1.1 Gender

1.2 Age

1.3 Civil Status

1.4 Position Title

1.5 Length of Service

1.6 Number of Hours of Training Attended for the Last 5ive Years

1.7 Highest Educational Attainment

2. What is the level of organizational development on process re-engineering practices of the DENR, Region 7 as assessed by the two groups of respondents in terms of:

2.1 deployment and dissemination of vision;

2.2 leadership;

2.3 inter-coordination and cross-functional activities;

2.4 involvement of employees as process owners;

2.5 provisions of facilities and equipment;

2.6 professional development;

2.7 rewards and recognition; and

2.8 provisions of online services

3. Are there any significant differences between the profile of the two groups of respondents and their responses on the level of process re-engineering practices of the DENR Region 7 when grouped according to their socio demographic profile?

3.1 Re-engineering Practice VS Sex

Question 1

Level 1

Level 2

Question 2

Level 1

Level 2

Question 3

Level 1

Level 2

Question 4

Level 1

Level 2

Question 5

Level 1

Level 2

Question 6

Level 1

Level 2

Question 7

Level 1

Level 2

Question 8

Level 1

Level 2

3.2 Re-engineering Practice VS Age

Question 1

Level 1

Level 2

Question 2

Level 1

Level 2

Question 3

Level 1

Level 2

Question 4

Level 1

Level 2

Question 5

Level 1

Level 2

Question 6

Level 1

Level 2

Question 7

Level 1

Level 2

Question 8

Level 1

Level 2

3.3 Re-engineering Practice VS Civil Status

Question 1

Level 1

Level 2

Question 2

Level 1

Level 2

Question 3

Level 1

Level 2