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MUHAMMAD AFIQ BIN SAHARI

GP03981

Sarjana Pendidikan (Pentadbiran Pendidikan

!k"ek#ti$ Saba% Sara&ak 

GGGB'03 )A!DAH P!N*!+IDI)AN II

,#-a"an Indi.id#

(SPSS

Pen"/ara% Dr 2ai4 b A%ad

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1.

Descriptive Statistics

N Minimum Maximum Mean

Std.

Deviation Skewness Kurtosis

Statistic Statistic Statistic Statistic Statistic Statistic

Std.

Error Statistic

Std.

Error 

gender 220 1 2 1.46 .500 .147 .164 1.!!7 ."27

#a$id N

&$istwise'

220

Descriptive Statistics

N Minimum Maximum Mean

Std.

Deviation Skewness Kurtosis

Statistic Statistic Statistic Statistic Statistic Statistic

Std.

Error Statistic

Std.

Error 

g(a 220 ."" 4.00 2.4406 .)4165 .277 .164 .5!" ."27

#a$id N

&$istwise'

220

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2 (a) Dua sampel t-test bersandar

Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

*air 1 addsc+t,n" 5".1!5 220 12.2!1) .)2)7

addsc+t,n5 52.5!5 220 12.400" .)"60

Paired Samples Correlations

N -orre$ation Sig.

*air 1 addsc+t,n" addsc+t,n5 220 .656 .000

Paired Samples Test

*aired Di//erences t d/  

Sig. &2

tai$ed'

Mean

Std.

Deviation

Std. Error 

Mean

!5 -on/idence nterva$ o/ 

t,e Di//erence

ower 3((er  

*air

1

addsc+t,n"

addsc+t,n5

.6000 10.2460 .6!0) .7614 1.!614 .)6! 21! .")6

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 2 (b) Anova

ANOVA

Sum o/ Suares d/ Mean Suare Sig.

addsc+t,n" etween rou(s 15!"2."!" 4) ""1.!25 "."0) .000

8it,in rou(s 17156.20" 171 100."2!

9ota$ ""0)).5!5 21!

addsc+t,n5 etween rou(s 15751.14! 4) "2).14! ".1"1 .000

8it,in rou(s 17!2".)47 171 104.)1)

9ota$ ""674.!!5 21!

2 (c) Linear Regression

Variables Entered/Removedb

Mode$ #aria:$es

Entered

#aria:$es

;emoved Met,od

dime

nsion

1 gender< ia . Enter 

a. =$$ reuested varia:$es entered.

:. De(endent #aria:$e> g(a

Model Summary

Mode$

; ; Suare

 =d?usted ;

Suare

Std. Error o/ t,e

Estimate

dimen

sion0

1 .501a

.251 .244 .7"1))

a. *redictors> &-onstant'< gender< i

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ANOVAb

Mode$ Sum o/ Suares d/ Mean Suare Sig.

1 ;egression ").!00 2 1!.450 "6."11 .000a

;esidua$ 116.2"6 217 .5"6

9ota$ 155.1"6 21!

a. *redictors> &-onstant'< gender< i

:. De(endent #aria:$e> g(a

Coeicientsa

Mode$

3nstandardi@ed -oe//icients

Standardi@ed

-oe//icients

t Sig. Std. Error eta

1 &-onstant' .7!0 .411 1.!22 .056

i .025 .004 ."7! 6.2)5 .000

gender .425 .102 .25" 4.1)) .000

a. De(endent #aria:$e> g(a

2 (d) Non parametric test (Pearson Correlation)

Case Processin! Summary

-ases

#a$id Missing 9ota$

N *ercent N *ercent N *ercent

gender A i 220 100.0 0 .0 220 100.0

Symmetric Measures

#a$ue =sBm(. Std. Error a  =((rox. 9:  =((rox. Sig.

nterva$ :B nterva$ *earsonCs ; .226 .06" ".420 .001

c

rdina$ :B rdina$ S(earman -orre$ation .22) .064 ".45) .001c

N o/ #a$id -ases 220

a. Not assuming t,e nu$$ ,B(ot,esis.

:. 3sing t,e asBm(totic standard error assuming t,e nu$$ ,B(ot,esis.

c. ased on norma$ a((roximation.

2 (e) Ci-s!uare test

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Case Processin! Summary

-ases

#a$id Missing 9ota$

N *ercent N *ercent N *ercent

soc(ro: A dro(out 220 100.0 0 .0 220 100.0

socprob " dropout Crosstabulation

-ount

dro(out

9ota$0 1

soc(ro: 0 177 16 1!"

1 16 11 27

9ota$ 1!" 27 220

C#i$S%uare Tests

#a$ue d/  

 =sBm(. Sig. &2

sided'

Exact Sig. &2

sided'

Exact Sig. &1

sided'

*earson -,iSuare 2".167a 1 .000

-ontinuitB -orrection:

20.251 1 .000ike$i,ood ;atio 17.005 1 .000

is,erCs Exact 9est .000 .000

inear:Binear =ssociation 2".062 1 .000

N o/ #a$id -ases 220

a. 1 ce$$s &25.0' ,ave ex(ected count $ess t,an 5. 9,e minimum ex(ected count is "."1.

:. -om(uted on$B /or a 2x2 ta:$e