Analysis of BLDE Jamakhandi

7/26/2019 Analysis of BLDE Jamakhandi

1/15

Analysis of BLDE Jamakhandi

We are selecting ordinal regression which is the general form of multiple regressions and

binomial regression.

Reasons for Ordinal regressions

1. Dependent variables are measured in ordinal scale.( Salary, leave, work, Physical

work and pportunity!

". #ndependent variables are continuous, ordinal or categorical ($rea, %arital status,

%onthly savings, monthly income, working place, mode of travel and residence!

&. 'here is no muticollineraity between $rea, %arital status, %onthly savings, monthly

income, working place, mode of travel and residence.

. We will test effect of each independent variable on each order of the ordinal variable.

)*ample+ impact of area on Physical work.

ypothesis 1 Salary availability in 'ime

Case Processing Summary

N

Marginal

Percentage

salary availability in time Low 102 20.4%

Medium 239 4.!%

"ig# 1$9 31.!%

rea &ural 10 34.0%

'rban 330 ((.0%

Marital )tatus 'nmarried 11$ 23.0%

Married 3!$ .0%

*y+e o, ,amily Nuclear 30 4.0%

-oint ,amily 130 2(.0%

or/ing +lace o, t#e

res+ondent

Near to #ouse !! 1.(%

Local 32( ($.2%

utstation !( 1.2%

Mode o, travel by t#e

res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%

wn #ouse 21$ 43.0%


2/15

&esidency ty+e o, t#e

res+ondent

&ental 23$ 4.0%

t#ers $0 10.0%

Nature o, wor/ &outine 32$ ($.0%

#allenging 1$ 3$.0%

alid $00 100.0%

Missing 0

*otal $00

Model Fitting Information

Model 2 Log Li/eli#ood #i)5uare d, )ig.

6nterce+t nly !30.3$!

7inal $(.0!9 4.2(9 13 .000

Lin/ ,unction8 Logit.

Goodness-of-Fit

#i)5uare d, )ig.

Pearson (!.0(0 $$3 .000

eviance (24.!$1 $$3 .01!


Pseudo R-Square

o: and )nell .13!

Nagel/er/e .1$!

Mc7adden .01


Parameter Estimates

;stimate )td. ;rror ald d, )ig.

9$% on,idence 6nterval

Lower ound '++er ound

*#res#old 3.$4 .!1$ 19.224 1 .000 $.11 1.9(

1.1!$ .!00 2.19! 1 .13! 2.$3 .3!2

Location )avings .0!1 .12 .409 1 .$23 .330 .1(!

timetravel .3 .3(( 1.0(2 1 .303 .340 1.094

ge .099 .11 .33 1 .$(2 .43$ .23(

1.202 .21( 30.!33 1 .000 1.(2( .!


3/15

0a . . 0 . . .

.04( .2!( .02$ 1 .!3 .(0( .$1$

0a . . 0 . . .

.024 .209 .013 1 .909 .3! .434

0a . . 0 . . .

1.!30 .4$! 1$.9!1 1 .000 2.2! .933

1.2!1 .3!( 11.034 1 .001 2.03( .$2$

0a . . 0 . . .

.141 .33 .14 1 .( .$20 .!01

.234 .343 .4($ 1 .49$ .43! .90(

0a . . 0 . . .

.(!2 .31( 4.((! 1 .031 1.300 .0(3

.4$ .310 2.1!4 1 .139 1.0(4 .149

0a . . 0 . . .

.23 .192 1.$22 1 .21 .(13 .139

0a . . 0 . . .


a. *#is +arameter is set to ?ero because it is redundant.

Test of Parallel Linesa


Null "y+ot#esis $(.0!9

@eneral 31.((4 24.42$ 13 .02

*#e null #y+ot#esis states t#at t#e location +arameters Aslo+e coe,,icientsB are t#e

same across res+onse categories.

a. Lin/ ,unction8 Logit.

ypothesis "+ -eave availability


N

Marginal

Percentage

Leave availability in time Low 149 29.!%

Medium 2(( $3.2%

"ig# !$ 1.0%

rea &ural 10 34.0%'rban 330 ((.0%


4/15


Married 3!$ .0%



or/ing +lace o, t#e

res+ondent


Local 32( ($.2%

utstation !( 1.2%


res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%


res+ondent

wn #ouse 21$ 43.0%

&ental 23$ 4.0%

t#ers $0 10.0%


#allenging 1$ 3$.0%

alid $00 100.0%

Missing 0

*otal $00



6nterce+t nly !0(.3107inal (.(2( 29.(!4 13 .00$


Goodness-of-Fit

#i)5uare d, )ig.

Pearson (30.!! $$3 .012

eviance ((1.!! $$3 .001


Pseudo R-Square

o: and )nell .0$!

Nagel/er/e .0(

Mc7adden .030



5/15

Parameter Estimates




*#res#old 1.32$ .94 2.90 1 .09$ 2.!!1 .230

1.23! .92 2.440 1 .11! .31$ 2.91

Location )avings .1(9 .12 1.(( 1 .1!4 .41! .0!0

timetravel .1(1 .3(1 .19! 1 .($( .!(9 .$4

ge .331 .13 3.($! 1 .0$( .00! .((9

.010 .209 .002 1 .9(2 .420 .400

0a . . 0 . . .

.44$ .2!! 2.3!9 1 .122 .119 1.010

0a . . 0 . . .

.3!0 .211 3.242 1 .02 .034 .93

0a . . 0 . . .

.01! .449 .002 1 .9(! .!9! .!(2

.140 .3! .13( 1 .12 .!!1 .(02

0a . . 0 . . .

.$21 .341 2.339 1 .12( 1.1!! .14

.09 .344 .0$3 1 .!19 .$9( .$4

0a

. . 0 . . .

.92 .31$ (.31$ 1 .012 1.409 .14

.$1 .30! 2.!1$ 1 .093 1.121 .0!

0a . . 0 . . .

.04$ .192 .0$( 1 .!14 .332 .422

0a . . 0 . . .





Null "y+ot#esis (.(2(

@eneral 44.1$4 32.42 13 .002




ypothesis &+ Work satisfaction -evel


6/15


N

Marginal

Percentage

or/ satis,action Low ( 1$.2%

Medium 240 4!.0%

"ig# 1!4 3(.!%

rea &ural 10 34.0%

'rban 330 ((.0%


Married 3!$ .0%



or/ing +lace o, t#e

res+ondent


Local 32( ($.2%

utstation !( 1.2%


res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%


res+ondent

wn #ouse 21$ 43.0%

&ental 23$ 4.0%

t#ers $0 10.0%

Nature o, wor/ &outine 32$ ($.0%#allenging 1$ 3$.0%

;ducation o, t#e res+ondent ))L and below 1(9 33.!%

P' & egree 2(0 $2.0%

P@ & P#. 1 14.2%

alid $00 100.0%

Missing 0

*otal $00



6nterce+t nly !32.49!

7inal 9(.$0! 3$.990 1$ .002


Goodness-of-Fit

#i)5uare d, )ig.


7/15

Pearson (4(.0! (3 .393

eviance (!3.41 (3 .09


Pseudo R-Square

o: and )nell .0(9

Nagel/er/e .0!0

Mc7adden .03(


Parameter Estimates




*#res#old 2.1 .!1! 11.4(2 1 .001 4.3$ 1.1(

.3!2 .!0! .223 1 .(3 1.9($ 1.202

Location )avings .0!$ .12! .449 1 .$03 .33( .1($

timetravel .422 .3(2 1.3(1 1 .243 1.132 .2!

ge .12$ .12 .$32 1 .4(( .212 .4(3

.3$2 .20! 2.!$9 1 .091 .(1 .0$( 0a . . 0 . . .

.14 .2!9 .3(4 1 .$4 .40 .392

0a . . 0 . . .

.3 .211 3.1! 1 .0$ .03 .91

0a . . 0 . . .

.123 .4$2 .04 1 .!$ 1.009 .(3

.403 .3!4 1.104 1 .293 1.1$( .349

0a . . 0 . . .

.144 .3!1 .143 1 .0$ .(03 .!92

.34 .344 1.19 1 .2! .301 1.049

0a . . 0 . . .

.$29 .321 2.1! 1 .099 1.1$! .100

.31( .311 1.029 1 .310 .92( .29$

0a . . 0 . . .

.230 .193 1.421 1 .233 .(0! .14!

0a . . 0 . . .

.339 .3(1 .!!2 1 .34! 1.04( .3(!


8/15

.101 .294 .11 1 .32 .4( .(

0a . . 0 . . .





Null "y+ot#esis 9(.$0!

@eneral (!.19 2!.311 1$ .020




ypothesis + Physical work


N

Marginal

Percentage

"eavy +#ysical wor/ at wor/

+lace

Low 24 4.!%

Medium 24( 49.2%

"ig# 230 4(.0%

rea &ural 10 34.0%

'rban 330 ((.0%


Married 3!$ .0%



or/ing +lace o, t#e

res+ondent


Local 32( ($.2%

utstation !( 1.2%


res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%


res+ondent

wn #ouse 21$ 43.0%

&ental 23$ 4.0%

t#ers $0 10.0%


#allenging 1$ 3$.0%



9/15

P' & egree 2(0 $2.0%

P@ & P#. 1 14.2%

alid $00 100.0%

Missing 0

*otal $00



6nterce+t nly 09.03$

7inal (3.$$ 3$.2!1 1$ .002


Goodness-of-Fit

#i)5uare d, )ig.

Pearson 0.!2( (3 .02

eviance $.91 (3 .9$$


Pseudo R-Square

o: and )nell .0(!

Nagel/er/e .0!3

Mc7adden .041


Parameter Estimates




*#res#old 3.4( .!(! 1(.041 1 .000 $.1( 1.$

.1!2 .!4( .04( 1 .!30 1.!40 1.4(

Location )avings .20$ .134 2.34( 1 .12( .4( .0$

timetravel .32! .3!0 .42 1 .3!9 .41! 1.03

ge .21( .1!1 1.429 1 .232 .$0 .13!

.1$( .21 .$14 1 .43 .$!2 .20

0a

. . 0 . . .

.212 .304 .4! 1 .4!$ .!09 .3!4


10/15

0a . . 0 . . .

.41( .222 3.49! 1 .0(1 .!$2 .020

0a . . 0 . . .

.0$! .42 .01$ 1 .903 .9!3 .!(!

.0(1 .401 .023 1 .!9 .2$ .!4

0a . . 0 . . .

.!( .400 4.0$ 1 .030 .0!4 1.($0

.012 .3(0 .001 1 .94 .(93 .1

0a . . 0 . . .

.241 .331 .$29 1 .4( .40! .!90

.0!0 .321 .0(2 1 .!03 .0! .$49

0a . . 0 . . .

.413 .203 4.130 1 .042 .!11 .01$

0a . . 0 . . .

.144 .3 .14 1 .02 .$94 .!!3

.13 .30 .319 1 .$2 .42! .$

0a . . 0 . . .





Null "y+ot#esis (3.$$

@eneral (3(.2(b 3.49c 1$ .001




b. *#e logli/eli#ood value cannot be ,urt#er increased a,ter ma:imum number o,

ste+#alving.

c. *#e #i)5uare statistic is com+uted based on t#e logli/eli#ood value o, t#e

last iteration o, t#e general model. alidity o, t#e test is uncertain.

ypothesis + /olleague support


N

Marginal

Percentage


11/15

olleague su++ort at wor/

+lace

Low ( 13.4%

Medium 229 4$.!%

"ig# 204 40.!%

rea &ural 10 34.0%

'rban 330 ((.0%


Married 3!$ .0%



or/ing +lace o, t#e

res+ondent


Local 32( ($.2%

utstation !( 1.2%


res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%


res+ondent

wn #ouse 21$ 43.0%

&ental 23$ 4.0%

t#ers $0 10.0%


#allenging 1$ 3$.0%


P' & egree 2(0 $2.0%

P@ & P#. 1 14.2%alid $00 100.0%

Missing 0

*otal $00



6nterce+t nly !31.$2

7inal !13.23 1!.$1$ 1$ .23


Goodness-of-Fit

#i)5uare d, )ig.

Pearson (!9.!40 (3 .02

eviance 0!.9!4 (3 .02$



12/15

Pseudo R-Square

o: and )nell .03(

Nagel/er/e .042

Mc7adden .019


Parameter Estimates




*#res#old 1.$( .!0$ 3.! 1 .0$2 3.14$ .011

.33 .!02 .!3$ 1 .3(1 .!39 2.304

Location )avings .11! .12 .!$( 1 .3$$ .132 .3(

timetravel .104 .3(0 .0!4 1 .2 .!10 .(01

ge .024 .11 .020 1 .!! .3(0 .311

.30 .209 3.13( 1 .0 .039 .9

0a . . 0 . . .

.1$0 .2!9 .20 1 .(03 .41( .1

0a . . 0 . . .

.3( .212 2.9!9 1 .0!4 .!3 .049 0a . . 0 . . .

.00$ .449 .000 1 .991 .!$ .!!(

.021 .3!1 .003 1 .9$ .2( .(

0a . . 0 . . .

.192 .39 .2$ 1 .(12 .$$0 .934

.2$2 .341 .$43 1 .4(1 .41! .921

0a . . 0 . . .

.2$3 .314 .(49 1 .420 .!0 .3(3

.030 .30$ .009 1 .923 .$(! .(2

0a . . 0 . . .

.020 .192 .011 1 .91( .39 .3$(

0a . . 0 . . .

.33 .3$! .!!3 1 .34 .3($ 1.039

.39( .291 1.!$2 1 .14 .14 .9((

0a . . 0 . . .




13/15



Null "y+ot#esis !13.23

@eneral !2.92 30.44$ 1$ .010




ypothesis 0+ opportunity to improve


N

Marginal

Percentage

++ortunity to im+rove Low 121 24.2%

Medium 22( 4$.2%

"ig# 1$3 30.(%

rea &ural 10 34.0%

'rban 330 ((.0%


Married 3!$ .0%



or/ing +lace o, t#e

res+ondent


Local 32( ($.2%

utstation !( 1.2%


res+ondent

y wal/ 30( (1.2%

*wo w#eeler !( 1.2%

us & ot#ers 10! 21.(%&esidency ty+e o, t#e

res+ondent

wn #ouse 21$ 43.0%

&ental 23$ 4.0%

t#ers $0 10.0%


#allenging 1$ 3$.0%


P' & egree 2(0 $2.0%

P@ & P#. 1 14.2%

6ncome o, t#e res+ondent elow &s 10C000 2$( $1.2%

&s 10C001 to 20C000 11$ 23.0%


14/15

&s 20C001 to 30C000 ! 1.4%

bove 30C000 42 !.4%

alid $00 100.0%

Missing 0

*otal $00



6nterce+t nly 94(.$(

7inal !1(.(!( 130.01 1! .000


Goodness-of-Fit

#i)5uare d, )ig.

Pearson !10.3$ 00 .002

eviance 44.312 00 .119


Pseudo R-Square

o: and )nell .229

Nagel/er/e .2(0

Mc7adden .122


Parameter Estimates




*#res#old 3.234 .9$2 11.$40 1 .001 $.099 1.3(!

.!20 .940 .(2 1 .3!3 2.((2 1.021

Location )avings .400 .132 9.132 1 .003 .($9 .140

timetravel 1.00( .33 .2(! 1 .00 1.3! .2$

ge .103 .1!3 .31 1 .$4 .2$( .4(1

1.0( .21! 24.443 1 .000 1.$03 .(49

0a

. . 0 . . .

.299 .294 1.03$ 1 .309 .2 .!(


15/15

0a . . 0 . . .

.049 .21$ .0$3 1 .!1! .41 .32

0a . . 0 . . .

.013 .42 .001 1 .9 .911 .93!

.10 .40$ .1 1 .(4 .9($ .(24

0a . . 0 . . .

.4!4 .39! 1.4!1 1 .224 1.2(3 .29(

.141 .3$4 .1$! 1 .(91 .!34 .$$2

0a . . 0 . . .

.!$ .323 .030 1 .00! .223 1.490

.3! .311 1.$$0 1 .213 .223 .99!

0a . . 0 . . .

.(4 .201 11.24( 1 .001 1.0(! .2!0

0a . . 0 . . .

.0!3 .393 .044 1 .!33 .!$3 .(!

.920 .30! !.939 1 .003 .31 1.$23

0a . . 0 . . .

.2$4 .439 .33( 1 .$(2 1.11$ .(0(

.1(9 .411 .1(9 1 .(!1 .(3 .9(

.$$2 .410 1.!11 1 .1! .2$2 1.3$

0a . . 0 . . .





Null "y+ot#esis !1(.(!(

@eneral 9.41 3(.94$ 1! .00$




Analysis of BLDE Jamakhandi

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