Search for notes by fellow students, in your own course and all over the country.
Browse our notes for titles which look like what you need, you can preview any of the notes via a sample of the contents. After you're happy these are the notes you're after simply pop them into your shopping cart.
Title: Spss Lessons In Arabic
Description: Learn How To Use Spss Program In Arabic . ... Classic Very Useful Method !
Description: Learn How To Use Spss Program In Arabic . ... Classic Very Useful Method !
Document Preview
Extracts from the notes are below, to see the PDF you'll receive please use the links above
SPSS
1
SPSS
)" # $ %&( !
'
*, - / 1 23
+
...
)
84
I
#O?
) Q
R # 8D S ,
8
)M ' " 4
)T F U - T + SV K 6$# J #$
'
#V
P! Nominal
P! Ordinal
P! Interval
P!
Ratio
W &+3 X 0 W &+ X &W &+ O X @XV B 8
X
8
'
X 7
8
X
8
Y Y
V
"ZX > 8 X 2 X # , W & 7 W &8
X4 7
D
0
?
+ 3
+
* + Interval )
( Ratio "
'
4
1
...
/0
5 #1
6
V & 9 @ " Y K9 [ U \ 0
=
8' " Y K9 ^ U 9@B Data View ]K
F
#
#$
" 'E8 1&D U 9@B Variable View ] Y
'
#
P
0 # a" 'E8 1&D0 U @[ Y
'
K
]
R
`
@ %_
E
3 8 '
...
&8 O Yi @B 'E8 O Y '
`
7 b V #
1&D
+ R
+d
+ dh
(Numeric) S D 'E8 B
(default) )e' ! j Y
D
' F
=
8 1&D
'
? e' C ' E = 8 &`
D B 0 R& ' D ZD D =8 8? FV S & D e' B
F 7
i
D
#
M#'
_
Date 9 = 8 l 0 M 'E8 Jb k
R& & =
[
Custom currency 9 = 8
R&
8 = M 'E8 Jb k
[
String 9 = 8 )c ( m8 V P! m8 V M 'E8 Jb k
R&
$
=
[
5
SPSS
XV = J R D J @
F i X
V
I e' i D j Y >
Db
' _&
+ dn
) 7 +#VB& 0 R&
0
# = 8!
=X = J X X J @X X e'Dbh X j Y >
8 X R D V
F
I
X
D
' _&
+ do
)
F$
3 7 E[ B& 0 R& =&`
#V # = 8! '
'E8 - 'D&
?
R 'E8 1U
,
&
+ dp
8 #VOrdinal ! X0 ' E8 'U ? 1X D
X
)
' X
X
X
&
'
,&
X
X d6
+
]
R '
...
&
` 7
X# X = 'D8# j Y
4
X
'
9 @ m+ #
#V7 & = 8 " Y i Be' # a 8 ; ' &
0
R& 9
D
D
6
KMQ?
' 8
KMQ?
' 8
,
&
@3
@3
+ dr
@3 M + /F 4 K F R&
#
=8
M + /F
,
&
+ di
7+
0
SPSS
, tg X e'D # a X
X X0 B X
]
R '
...
&
` 7
)Ordinal!
,
&
+d u
= =& mg @ % _ 3
8$
E
0 'E8 O Y 9 = 8
'
R&
)Nominal! 8 'E8 #
" 12 7 18
...
18
=
v
] 8D
i
r
y
p
o
n
h
x `
n
hh
hh o
np
i
h
hy
'D
8
P
Y 'k 'k P 'k 'k
V
b
b
Y b
V
b
P
Y
V P
Y O?
V
B8
w
%
%
%
8D
]J2
Vq =
)Scale ! 8 T + - ' D
b
8
)Nominal! 8 T + - O ?
)Ordinal! 00 + - 8 D B 8
'T
w
X X0 # 8 I T + = Zb Vvalues! / 1&D0 [ & 8 T +
Z3
'
8
)
+ '
H I R
8
8? R /+ 1&D0
7
' =
I zhz # )Male!' C
b
I z z 9 = 8 )O ?! 8 'E8 ,
R&
?
-3 f 0 /& 8 'E -$ {k aWR #VFemale! @P
' 7I
Y #
D
)
Y
$
X #V X' X / Xj X
X
E
XD X
E
X X
& Y
'
X JX k X' X /X 1X D0 X8
X
U[ X [ X D X
b
E X X =X &
+ &
' R
U = ' | E & gI
...
M
= *X J {X# a X JX X 0X * ƒ) Statistics! zm X[ XbJ
X Zb $ X
k
D 8
X
z 8 [
-^KX
X3 P
Y 8 X @D3 1
m (@ I ' D
,x
&
8 'ƒ
#
" X 8 j X #V Y , X #V X w ? X X XR tX a x X 8 ' E
&
Y
RX D
\ g X
? F 8 C3
D0
7
X
B ƒ
' #
@X M XL z m X[ 'XD J
X (
[
z X
,&
X=
X JX'9 fXg @X #
X ^ Xv X
3
Y
X
X X=P X M ,8 " X X ) Statistical Techniques !
b 3
X
•0
X f X$
8B
I
= g ? " Y /3#
0
7
0 3 Kg
] 8#
B
= 4 @[
m
/,0 ` = #
+>
)Descriptive and Inferential Statistics! I I m
# U m
" X >8 X ,0 X
Y X 3
4
X
„'
•
8
g U m
+
&
#
X 8 " X X 8 fX g 1X {C #
Y
X
Y
X
U# X
b
X
X' #V # X 7
K g X #
q'
< ` W & # " • 8 A , P" Y
+
" X
...
? k X X 8 X
Y
8I
B<, ? #
D
" 4 ? I #V
X
"
X _X #VX'
X /
&
[
,0 XD " X JXa X >8g T X
X ?
Y ^ R X 8
3
b
F
> g = Conclusions
88
1X 3 Purpose ; 'E X I I# U m
U
X B
= S' g „ #
B
; ' B> g @[ ? =
ƒ
88
D
I #V D 8 U m
'
?
; ' B" Y
ƒ
" ' k 0 " Y z /3 z 3
+
#
7
,
0
„' = ? Zb I I m
6#
Making Decisions
d] = , = q
@[
K I #V I I m
I
/+
,?
&
Estimation " D8g /D ' + d
8
&0
Testing Hypotheses " D8g /D J` ; #' " 9
8
…
3
dh
#VX D ' X '8 " X g #V Xg = " X #V ? f € '
7
8
&+ X D8 8 >8 8 X ?
0
&6= {k/&
#
7… ; #' " 9
Y
`
3
X 7 X D X F X 0 X e X JX k>Xg /X ' X
X g X
X
X X X
8 X X
8 & X X X [ X 8 X &X
X X X
B 7 b X
8
X
D8 X
+
,X
X
X
&
) Unknown Parameter!
| X X #V X J` 'F [ X e X
3
| 3 …X X@X K U
7
,3 ; #' " 9 V
)
!
7 8D =
g
[ '
; 3
12
SPSS
Estimation ?
Population ! > g 8D8 ' + ) Statistic ! t
8
&b
m [ 8F<
k
[
)Point Estimation! •+ ' +@8 0 8+ {0 ^) parameter
? &0 ,
J3
µ>g %
88
'+ ?
&
D
, %
P {k
#
' &
† 7z
g Y ƒ U = ?R0 7 Interval Estimation M ' +
?8 3
z…
•
Hypotheses Tests P (
>Xg X D J`X 'X=X GX
X 8 X
8
8 …X X X X
F
X
)Sample statistic! ? 3 M
D
m
X %X ; 'X X9 m' ^ X
X X
? X
+
3
X X
3
4X X
X +
Y
8F *?(Population parameter)
@ m
Statistical significance (p-level)
...
18
+, " • O 03 ) 00 E B ! Qualification 8 D B 8 1U#
^
''
#
w
]
" • > Y ? 1U
O
Analyze Descriptive Statistics Frequencies…
R @
`
Y
@ % _ # Variable(s) @3 )sex! O ?
E
]
K g @
#
Y
9
]
@ %_
E
Sex
Valid
Male
Female
Total
Frequency
6
4
10
Percent
60
...
0
100
...
0
40
...
0
Cumulative
Percent
60
...
0
J 5XZ& )Percent! ,?# )Frequency! 'R X Z =R& , K X =
VX #
X
X
...
10
Std
...
460
X +# \' X X +# )" B`8! " 'R X X Z =R& , K X =
8
E
8
X
X
...
D
X Vk X j X = ' + e'D @X +, )" m X ! j ? J ' C ' 4
Y [ V Y X X8
'
X B
X
0
b &
X %E X= 8Xa" m X = X 8 ' E8 1X
X _X R 3
X & X
X
U#
€ , R X=
X ` X
]
R
`
?
3
%E / 7 K
_ ~
A •8 " m
@ '( = 8 € , R K =
… R&
` Z9
@ /
~
17
SPSS
-Explore > VTE
/
N/U
W XY '
?
/
" * -outliers ) [=K \ > V &< Z
...
?
M ' ' E# ) ! KP " Y
m+
0
VY N/0 18
)K9 @3 … J R F s = I s
•9 & !
X " X @XmX V X# e ` b #V X @3 M (/F 4 e `b m
F Y
3 •9 4
XI " Y
k
#
I
]
" • > Y 8 'E8
'D
m
Analyze Descriptive Statistics Explore…
18
SPSS
@ %E # Dependent List: @3 )Age! ' D
_
8
9
]
R @
`
Y
Statistics
@ '( >
…
]
R @
`
]
Y
Outliers @ '( > '(
…
…
K g @
#
Y
19
/
~
@ %_ #
E
@ %_ #
E
SPSS
Extreme Values
Age
Highest
Lowest
Case Number
9
5
4
8
1
3
2
7
6
10
1
2
3
4
5
1
2
3
4
5
Value
91
41
35
31
26a
18
21
22
22
26b
a
...
b
...
@X * b… J X# M X XF X J X ' D s 8+ J € , K g = 5 Z&
3 X X
•9 R k( 8 J R V [ 8
0
0
#
X
X X& F
X/X/ = a) s = I X * b… s X+ ' D0C ?P
0 &X X
~
X ! X X
•9
8
B
… J SVs / @X# )Case Number! X / X _X K X J 5XZ&
X
•
V ! X X
F B
X •D& X # g V X #
F
&
V
7
0 8+ @[ U
#
K
' {k )s /
, #
F
@3 4
/B T
…
X
•9 X# X = X # …
4
X b
… X
•
5H Explore
Y E N/U/N
?
&X X € , KX " X
D0 D
X P
8 Y
X -N/ 1 8
]
" • > Y 8 'E8
'D
Analyze Descriptive Statistics Explore…
@ '( >
…
@ %E # Dependent List: @3 )Age! ' D
_
8
9
]
R @
`
Y
Statistics
20
SPSS
]
Y
Descriptives @ '( > '(
…
…
R @
`
]
@ %_
E
K g @
#
@ %_ #
E
Y
/
~
Descriptives
Age
Mean
95% Confidence
Interval for Mean
Lower Bound
Upper Bound
5% Trimmed Mean
Median
Variance
Std
...
10
20
...
Error
2
...
44
25
...
00
55
...
460
18
41
23
12
...
186
...
334
S , X X MX _X * X )'8 ! X 'E8 Z b U# € , K g 2 &
X ? + ' 3 &Z ( X
P
D
8
R
#
q
ˆ sp &?
D
a X0 # 8 ' E8 f, X ' E8 /,+> +, M•
'
X X
X 8 X
R
X
0
' 0 R8 =
R=8
Factor List @ )sex! O ? 'E K9 [ Dependent List: @3 )Age! ' D
#
8
93
]
R @
`
Y +, " •
'0
R#
21
SPSS
]
K g @
#
Y
%_
E
Descriptives
Age
Sex
Male
Female
Mean
95% Confidence
Interval for Mean
5% Trimmed Mean
Median
Variance
Std
...
Deviation
Minimum
Maximum
Range
Interquartile Range
Skewness
Kurtosis
Statistic
23
...
14
Std
...
539
30
...
35
22
...
667
6
...
467
2
...
75
16
...
845
1
...
270
43
...
61
28
...
917
8
...
753
...
014
2
...
Z
R V R8
" X' 3 X
q
X [ X € , X " m X X @X# Both 9 #V
7 M(
X U
•D0 B
Y
-Normality
" D&
/ =
B
?+ ; " S \ Explore
7 2
7
Y E N/U/0
?
# ' D&
The Normal distribution @D • >
&
K I @3 *
I
B PV
'b#
?+ A
_ ;
Kolmogorov-Smirnov- Lilliefors test
Z>
E Z>; G & ; " 2
...
3
...
...
200*
Statistic
...
...
This is a lower bound of the true significance
...
Lilliefors Significance Correction
(Sig
...
27
5 # ) + N/j
63
/ 'E8 1&D0
q#
' M
/&
# `
SPSS
Pearson's Linear Correlation Coefficient B
L c" b E M # 3
...
, Xk 'D0
# ,
G
]
9 @[ U
I K
b‰
Analyze
Regression
Linear…
] 9 C ? b‰
I 0
Dependent @3 > 'E8 H V •
Independent(s) @3 + 8 " 'E8 H V •
,
OK
%E
_ •
/
"l
R
"
E
*#
6
; 2 ' 2? 6 3#
\ )?
M # D3 Hk8 @3 " 'E8 K9
?
4 8 + 8 " 'E8 b@
,
Y Hk8 S
I
Y
&J Y k ,#
0
K9 I ,, f,
0
# `
*
J
Enter
M # D3 Hk8 @3 " 'E8 eC Remove
?
31
SPSS
' v 0 # Hk8 @3 " 'E8 K9
9
?
4 8 + 8 " 'E8 @ %+
,
3
<, #! ‚ 0I MFf, 0 >
'
'v
9
Forward
Y Hk8 S & Y k ,#
I
Y
J
0
'E8 > )S ? ! K ‚ 0I " k
D8
)K9 I ,, f, @
0
0 # 7 / M # D3 Hk8 @3 " 'E8 >8 K9 Backward
3C ~
?
4
> 'E8 > 7 0 &? 4 f,
6
D
' v 0 # B 9# 7 ' # Hk8 @3 " 'E8 K9 Stepwise
9
4 9
?
4 8 + 8 " 'E8 @ %+
,
3
Y Hk8 S &J Y k ,#
I
Y
0
+ 8 " 'E8 4 @3 > 'E8 > )S ? ! K
,
#
D8
g ‚ 0I " k
)K9 I ,, f, @ <, #! ‚ 0I MF
0
f, 0
'
32
SPSS
! "#
T-test for a Population Mean @ G a
E
e e; " 4
...
Z !
9 _& 9 ' D& Y J = / '
V I
j '
ƒ
) Z test # zcz
; " 7 * 1H
2
Analyze
Compare Means
One-Sample T-Test …
33
9/
#
[
& •
SPSS
; " 7X 6
2
Test variable(s):
t 9 ' 'E8 H
[ 8
& •
[
=R# µ 0 = 0 X F _XM X j X a (Test value) µ 0 X F X 0 h
X
8> X
&
Y
'
8 &
B 9 ' 8+ > m 8 8+ tB' E JR
8
Z&
C
0
" X9 8b@ %E /& Confidence Interval + M 3 A ,
[
_
a
P '
n
(Options)
8 8+ tB' E JR
C
0
= # a 95% ? + M 3 f, & j Y
R
P '
M
'
R# X
X b@X %E X/X/ a X'ƒ# 99% = X GX
8 X _X & X B
~
o
X 6> / X
D
X ZX
&
(Continue) U
E
µ 0 h(' <@ G a
Independent-Samples T-Test $
' $
b B#
6
#
# e e; " 4
...
3
2
>? `
,
$M
# s( J
XD0 Y
8 "
D & R $ k ] $ L6 $ # e e; " Y '
4
"
2 ?
-?M %K " $ L6 $ # G B E
# u "; 2
"
L
D 6J ; ' & B a B* D * 9 = + = ? z"z
…
#
8
,
D
9 ' D&
Dependent Data ) •0 ! + 'ƒ 7 SV D
'
,
Y |
X9 / e'D& =• 0X=X g •X
I X
X#
' D8
S# ,0 X
X
9
I
,
&
" X J X J - • ‚'`& MB` nu = X! M E X" ?
Y
R X
0 +
X)
X
X F '
D
3
D • >
&
J# a bX X = m? XI =R& 'bXnu / " k MXR " XD
C
8 + X E
X ) P…
8
3
X
g
! '
?
) Z test # zcz
9/
; " < * 1H
2
Analyze
Paired-Sample T-Test …
36
7 @
_D
D# F
=
,
X @X!
X
3
[ D& 9
e'
I
& •
Compare Means
SPSS
; " 7X 6
2
Paired Variables @[ ) D ! Y 'E8# ) F K 'E8 H
a
P
! #$
[
9 8b@ %E /& Confidence Interval + M 3 A ,
_
a
P '
"
& •
h
(Options)
8 8+ tB' E JR
C
0
U
= # a 95% ? + M 3 f, & j Y
R
P '
M
'
8b@ %E / / a B ƒ#V99% = # G
_ &~ '
R
n
ƒ f ?
&
(Continue)
OK @ %E
_
/ MG ?M G a
#@
E
h(' < MG %K G a
"@
E
o
b B#
6
#
One-Way-ANOVA ? (n 6* $ " % ] ; " 4
...
1
3
2
?\% VM
T
" wE
>? `
,
l
R b $ ? kJ ) \; " Y '
&Q
3
2 ?
, a B * D I * 9 €3 M g * 9 S b>'
&
8
9 ' D&
/+ > (observed) MB` /+ Y + @ 8D& 'E8
8
#
8I >
&
8 I>
& = (expected ) DF 8
/U $ " #
& K = @ \b T b "6 ] c [$ I $ (
6
L H (
a &N 7 ,# p = F/+ " k DF 8 &
8
Y
V
Z
K g< 0
#
SPSS j Y •D&
'
#
p = F DF 8 /+ = ˆ hu @ , K F= 8 J $ | D @3 - G
Y
R&
Y
]
Analyze
Nonparametric tests
Chi-square…
39
9 @[ U
I K
b‰
SPSS
] 9 C ? b‰
I 0
Test variable t 9 ' 'E8 H V •
8
( )/ ? > 0 "I8 I S# ,
...
g
#
Mann-Whitney U
'( •
…
OK
%E
_ •
/$ # G B E( M Y+* #
L
L ?
6
Kruskal - Wallis H test
# `
(Z 1T & ; " U/0
E(
2
>? `
,
# G )+ L h('6 "
; 2
2 ?
'
=
&
9 *Q? * B * D I * 9 W # KR #'
I '
8
b
, B
...
g
#
Kruskal-Wallis H
'( •
…
OK
%E
_ •
/ #G
L
E( M Y+* #
L ?
6
# `
Wilcoxon two related samples test b L6 b # b '& T (; " U/
"
2
>? `
,
-?M %K " $ L6 $ # G B E(h('6 "
"
L
; 2
2 ?
•X# X + _X
X Y 8 X
&
,& M X
X (
#
X9 = S X =R# ' X X9 J ,b R& X9 X
X F X QX
?
X #
D&
=•0 =D8g
'
42
SPSS
]
9 @[ U
I K
b‰
Analyze
Nonparametric tests
2- Related Samples …
] 9 C ? b‰
I 0
3 B 9 ' " 'E8 H V •
8
)* 0 Y='E8
! :&
Wilcoxon
'( •
…
OK
%E
_ •
9 €&6= {k Test pairs list
'
#
/$ LE
43
M Y+* #
L ?
6
# `
SPSS
Friedman k- related samples test L6
"
+)# b ? J " U/U
?
; 2
>? `
,
L6
"
# G )+ L h('6 "
; 2
2 ?
X 0 MX # XD M'R " X F 8 X *3 R X D I * X9 J X 3 X9 ' D&
#
?
X
/
X
N
8
&
'
X# X X9 XD& X9 X 9 M # MB` 4 > =Bg @3 =
4
I 8
b
#
0
&
"X
Y
M'
R
]
9 @[ U
I K
00
'
b‰
Analyze
Nonparametric tests
k- Related Samples …
] 9 C ? b‰
I 0
9 €'
&6= {k ! Test variables 3 B 9 ' " 'E8 H V •
#
8
Y" 'E8
:
Friedman
'( •
…
OK
%E
_ •
/ L W M Y+* #
E(
L ?
6
44
# `
SPSS
Kendall's W Coefficient of Concordance kJ
M 1?& % # U/g
3
>? `
,
)+$ M
?
kJ
h? E;? Kendall W% # Y '
?
b =8 8 = €3
R
\ T + 8D I 9
*
K ? 9 ' D&
b
= W K ? D 8F # '0 /+ zx ( # zM #z ' D&'E b / ' D0
b
&
z
# R
) 0 0
€3 !
# )€3 0 ! '
I
]
9 @[ U
I K
b‰
Analyze
Nonparametric tests
k- Related Samples …
] 9 C ? b‰
I 0
9 €'
&6= {k Test variables 3 B 9 ' " 'E8 H V •
#
8
Y" 'E8
:
Kendall' W
s
'( •
…
OK
%E
_ •
/kJ
45
Y+* #
?
6
# `
SPSS
Cochran's Q Coefficient of Concordance kJ
& b & & % # U/j
>? `
,
9F G # )+
?
F h('6 "
6
; 2
?
L6 (dichotomous
"
Friedman testJ &3
'
8?
b
9 *
I
9 * • 8D I 9 bJ' b 9 ' D&
I+
*
b
D& B (Binary) ? " g I J R ? ۥ&-R#
#
~
0
?
"? = K
D
McNemar test
]
9 @[ U
I K
b‰
Analyze
Nonparametric tests
k- Related Samples …
] 9 C ? b‰
I 0
9 €'
&6= {k Test variables 3 B 9 ' " 'E8 H V •
#
8
Y" 'E8
:
Cochran' Q
s
'( •
…
OK
%E
_ •
/ L W M Y+* #
E(
L ?
6
46
# `
Title: Spss Lessons In Arabic
Description: Learn How To Use Spss Program In Arabic . ... Classic Very Useful Method !
Description: Learn How To Use Spss Program In Arabic . ... Classic Very Useful Method !