IBM SPSS Statistics 22 Core System U IBM_SPSS_Statistics_Core_System_User_Guide User Guide
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- 目錄
- 第 1 章 概述
- 第 2 章 取得說明
- 第 3 章 資料檔
- 第 4 章 分散式分析模式
- 第 5 章 資料編輯器
- 第 6 章 使用多重資料來源
- 第 7 章 資料準備
- 第 8 章 資料轉換
- 第 9 章 檔案處理與檔案轉換
- 第 10 章 輸出的處理
- 第 11 章 樞紐表
- 第 12 章 模型
- 第 13 章 自動輸出修改
- 第 14 章 指令語法的處理方式
- 第 15 章 圖表模式程式概述
- 第 16 章 透過預測模型為資料評分
- 第 17 章 公用程式
- 第 18 章 選項
- 第 19 章 自訂功能表和工具列
- 第 20 章 建立和管理自訂對話框
- 第 21 章 正式作業工作
- 第 22 章 輸出管理系統
- 第 23 章 編寫程式功能
- 第 24 章 TABLES 及 IGRAPH 指令語法轉換器
- 第 25 章 加密資料檔、輸出文件及語法檔
- 注意事項
- 索引
IBM SPSS Statistics 22 Core
System
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1ºz.............1
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}∩.............10
¬Excel ............10
¬Excel MΣLΓϕ.....11
¬dBASE ...........11
¬Stata ............11
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σrδF..............17
¬Cognos Ω...........20
¬IBM SPSS Data Collection Ω.....21
ΩT...............23
xsΩ..............23
Ynxsw∩Ω.........23
HíμíxsΩ..........23
NΩs¿ Excel μí.........26
NΩs¿ SAS μí.........26
NΩs¿ Stata μí.........27
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XIBM SPSS Data Collection ......33
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±ΩG±..........35
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Yn≤ϕe..........129
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70 IBM SPSS Statistics 22 Core System ΓU
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72 IBM SPSS Statistics 22 Core System ΓU
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78 IBM SPSS Statistics 22 Core System ΓU
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80 IBM SPSS Statistics 22 Core System ΓU
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96 IBM SPSS Statistics 22 Core System ΓU
πXºe²N
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C
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HP@[εúiH∩@HWC
98 IBM SPSS Statistics 22 Core System ΓU
±ⁿCú±ⁿⁿw[ε±H≈C≤o{íA∩U[εúPΩH≈MwA]
∩[ε±Auα±ⁿⁿw±CΩñ[εVhAh∩[ε±ANVα±
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100 IBM SPSS Statistics 22 Core System ΓU
ϕ
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≥
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bdñAeΓCO[εOA]ª÷Cª]tFP@]hΩCbIBM SPSS Sta-
tistics ΩRñAϕΩOHΦícA]qC
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12.
wC]O²bOμñ
score_a score_b
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13.
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sscore
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13.
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14.
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id scor í
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OC
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sñC
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v@HWCδFNbsñh½CzⁿwvTU@BJAbU@BJñA
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102 IBM SPSS Statistics 22 Core System ΓU
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GpGz∩Ns½¿CAδFe{BJC
bBJñAΘJ÷eñbsñp≤ΩTCz]iHbsñOC
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C÷@Uxsμ≤w]WAOúyzC
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wqsñ½s[cC
Ynⁿw@½s[c
1. bunαmvMμñA±Jnα½(Y¿O)COñ¼
P(rΩ)C
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Ynⁿwh½s[c
1. quvUMμA∩nwq@C
2. bunαmvMμñA±Jnα½(Y¿O)COñ¼
P(rΩ)CziHbOñh]AP@C(OqMμñsDABΣ
bsñ½C)
3. ∩U@nwqAi½∩L{C
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vCOMμ]tPC(CXWL@pJC)
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A²≡W@BJα≤n½s[cOC
vziwqO(ΦkObMμñ∩)Aα≥U@BC
nssHSgL½AiHgsΦíssCªNX{b
sCñCNznssAuTwvMμC
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GpGz∩Ns½¿CAδFe{BJC
bBJñAMwOCO@sAªiHsClA
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v@CδFNμ@C
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9BzPα½103
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ϕ
17.
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18.
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ϕ
19.
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1 1 2 6.4
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2 2 2 6.7
104 IBM SPSS Statistics 22 Core System ΓU
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106 IBM SPSS Statistics 22 Core System ΓU
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w.jan, w.feb, h.jan
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pHδFibsñCª]teΩñsΩñCCC
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108 IBM SPSS Statistics 22 Core System ΓU
10 ΘXBz
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138 IBM SPSS Statistics 22 Core System ΓU
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140 IBM SPSS Statistics 22 Core System ΓU
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142 IBM SPSS Statistics 22 Core System ΓU
13 ΘX∩
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πⁿW½≤C≤MπXⁿwhºⁿW½≤C
vhC∩u]tvBuTvBu}l≤vu⌠≤vC
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144 IBM SPSS Statistics 22 Core System ΓU
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’Effects: Swaps the Rows and Columns in the output
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Set objOutputItem = scriptContext.GetOutputItem()
Set objPivotTable = objOutputItem.ActivateTable
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Set objPivotManager = objPivotTable.PivotManager
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objOutputItem.Deactivate
End Sub
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e129
Cμ124
HOMS εXΘX225
CLj¼ϕμ134
CLÑh120
r¼131
RúsO124
e{ϕμ≤t186
tϕ186
123
123
≥σr131
ICΓ131
μe134
qϕμϕ135
εϕμ134
εnπC129
C125
αO124
CMμ124
≤126
íJCMμ125
íJsO124
NCΓm130
}132, 133
}e129
KJΣL{íñ113
K¿ϕμ113
Ñh127
X¿HTML 114
sϕμw]]w186
Cμs124
w]μeπ186
∩⌠131
⌠μu134
yÑ126
125
ϕ123
D132
sΦ123
πHtX 129, 131
∩CPμ134
xsμe131
xsμμí130
⌠109
ϕμ136
αmCPμ124
Σ130
Σt131
≤[128
≤π123, 124
125
ϕ(
≥
)
πM⌠xsμ127
π⌠Σ134
ϕñxsμ127, 130, 134
μí130
e134
∩134
⌠127
π127
ϕñCΓ130
Σ130
O124
Rú124
íJsO124
POMS ñl¼W221
D112, 132
sW°112
ϕ163
¼137
¼137
e138
ΣXP¼165
CL 138
XíMα½168
137
165
X138
¼°137
s138
¼°137
¼141
uTwv÷s4
d48, 49, 163, 184
íΩϕ@d66
ϕ163
d184
wq48, 49
sX121
sΦΩ53
uWuív7
pm6
eQf
πXΩ96
πXτ97
WPO97
ΘJμí46
ΘJΩ52
52
D52
52
ΘX109, 110, 113, 114, 121, 180
[K121
Rú110
∩143, 144, 146, 147, 148
249
ΘX(
≥
)
110
KJΣL{íñ113
X114
∩ñ110, 180
∩⌠110, 180
s110
xs121
°109
⌠109
≤ΘXyÑ126
π109
ΘX½≤¼
bOMS ñ220
ΘXzt(OMS) 219, 228
∩Φk134
∩ϕñCPμ134
∩[ε97
H∩h≥ª98
íd≥99
Ωd≥99
H≈98
[εd≥99
∩179, 180, 181, 183, 184, 186, 187,
188, 189
@δ179
G≈181
f⌠183
Ω181
uΩsΦvñyzpq183
ϕ184
yÑ182
yksΦ189
s²187
ϕ]w186
ΘXO183
°180
°182
Script 188
∩s113
≥47, 163
bíCΩñm½89
rΩ47
wq47
¼166
ϕ163
≥76
H≈14
l76
Ωw 14
∩98
eQCf
xsμe131
xsϕ114, 119
xsϕ(
≥
)
BMP 114, 119
EMF 114
EPS 114, 119
JPEG 114, 119
meta 114
PICT 114
PNG 119
PostScript 119
TIFF 119
xsΘX114, 117, 118
σrμí114, 118
Excel μí114, 116
HTML 114, 115
HTML μí114
PDF μí114, 118
PowerPoint μí114, 117
Web °i116
Word μí114, 116
xs23, 24
εw]m187
Ωwd16
Ω23, 24
IBM SPSS Statistics Ω23
112
}9
sWσr°112
m
εw]m187
ΩT23
α½100
Bz97
[v[ε99
XΩ93, 94
½Ω100
[ε91
πXΩ96
αmM[ε93
°109, 110, 111, 121, 180, 183
j⌡íμ109
HOMS úΘX¼224
¼Xºn111
RúΘX110
i}ºn111
ΘX110
MΣMNΩT112
G109
jMMNΩT112
ºn110
ΘXíºí121
xsσ≤121
⌠G109
≤ºnr¼111
≤ºnjp 111
≤ºnh111
πΩ183
°(
≥
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π183
π∩180
πW183
π183
⌠187
SPSSTMPDIR 187
Y±
ϕ129, 131
⌠109, 127, 191
uπC191
CPμC127
{G109
}132
O127
D128, 132
⌠
ΩsΦ170
∩Mμ170
eQKf
ϕμ136
αmCPμ124
αmM[ε93
Vσr182
eQEf
Σ130, 134
π⌠Σ134
÷Σϕμ94
OΩ63
NíjΩα½≈O70
eGQf
o≤232
⌡μ{í232
eGQ@f
q49
eGQTf
5, 44, 54, 100, 169, 170, 179
buΩsΦvMΣ55
b∩ñΩT5
b∩ñ∩5
wq44
wqΩT169
wq170
250 IBM SPSS Statistics 22 Core System ΓU
(
≥
)
XΩ≤W94
½sc¿[ε100
½ssX 78, 79, 80
92
54
íJs54
½kΣ÷suív4
∩ñπ179
W44, 179
iΓí24
OMS ú225
bΘXñN°W½μ44
¡ñI°W24
kh44
VX[εW44
½kΣ÷suív4, 179
Tº169
t∩
100
Mμ171
½sMμ171
°43
q50, 51, 182
170
170
wq170
46, 125, 179, 183
bϕW183
íJμ47
½kΣ÷suív4, 179
94, 183
48, 49
q49
sMKW48, 49
π109, 127, 191
uπC191
Cμ127
G109
}132
O127
D128, 132
π123, 124
πμí46
eGQ¡f
[ε54, 100
[v99
buΩsΦvMΣ55
½sc¿100
91
MΣ½68
íJs[ε54
∩l97, 98, 99
[εl
∩97, 98, 99
H≈98
[εÑ81
Ñ82
P82
82
Savage 82
A
Access (Microsoft) 12
B
binning 70
Blom ⌠p 82
BMP 114, 119
Xϕ114, 119
C
Cognos
¬Cognos Business Intelligence Ω
20
Cognos Active Report 116
COMMA μí45, 46
CSV μí
xsΩ24
¬Ω17
CTABLES
NTABLES ⁿOykα½
CTABLES 239
D
DATA LIST 36
MGET DATA ⁿO36
dBASE 9, 11, 23, 24
xs23, 24
¬9, 11
DOLLAR μí45, 46
DOT μí45, 46
E
EPS 114, 119
Xϕ114, 119
Excel μí
XΘX114, 116, 222
Excel 9, 10, 24, 191
}9, 10
sW\αϕHsWΩ
Excel 191
Excel (
≥
)
xs23, 24
xsAD23
EXECUTE (ⁿO)
q∩KW158
G
GET DATA 36
MDATA LIST ⁿO36
MGET CAPTURE ⁿO36
GGRAPH
NIGRAPH α½GGRAPH 239
H
HTML 114, 115
XΘX114, 115
I
IBM SPSS Data Collection Ω21
xs33
IBM SPSS Statistics Ωμí
eΘXΩ222, 225
IGRAPH
NIGRAPH α½GGRAPH 239
J
JPEG 114, 119
Xϕ114, 119
L
LAG (τ)88
Lotus 1-2-3 9, 23, 24, 191
}9
sW\αϕHsWΩ
Lotus 191
xs23, 24
M
meta 114
Xϕ114
Microsoft Access 12
O
OMS 219, 228
σrμí222
HOXML XSLT 228
ϕμl¼221
251
OMS (
≥
)
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q°úΘX224
εϕμ222, 225
ΘX½≤¼220
Excel μí222
IBM SPSS Statistics Ωμí222,
225
PDF μí222
SAV ñW225
SAV μí222, 225
Word μí222
XML(X) 222, 226
OXML 228
P
PDF
XΘX114, 118
PDF μí
XΘX222
PNG 114, 119
Xϕ114, 119
PostScript (Kí) 114, 119
Xϕ114, 119
PowerPoint 117
NΘXXPowerPoint 117
PowerPoint μí
XΘX114
Python(Y)
Script 233
Q
Quancept 21
Quanvert 21
R
Rankit ⌠p 82
S
SAS
}9
xs23
¬9
SAV μí
NΘXeIBM SPSS Statistics Ω
222
eΘXIBM SPSS Statistics Ω
225
Savage 82
Script 191, 192, 231
⌡μ{í232
Script (
≥
)
uπC÷s⌡μ192
231
≥235
⌡μñ231
Script 238
sW\αϕ191
w]yÑ188, 231
yÑ231
sΦ231
Python(Y) 233
spp
α½spj 216
SPSSTMPDIR ⌠187
Stata 11
}9, 11
xs23
¬9
SYSTAT 9
}9
T
T4253H ¡88
Tab Σj9, 10, 17, 23, 24, 26
}9
gJW26
xs23, 24
¬W10
TableLooks 128
128
M128
TABLES
NTABLES ⁿOykα½
CTABLES 239
TIFF 119
Xϕ114, 119
Tukey ⌠p 82
U
Unicode 9, 23, 182
Unicode ⁿOyk158
V
Van der Waerden ⌠p 82
Visual Bander 70
W
Web °i116
XΘX116
Word μí
XΘX114, 116, 222
Word μí(
≥
)
eϕμ114
X
XML(X)
NΘXxs¿ XML 219
eΘXXML 222
OMS ñOXML ΘX228
OXML ñϕμc226
XSLT
HOXML 228
Z
Z
bÑ[εñ82
252 IBM SPSS Statistics 22 Core System ΓU
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