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SPSS Categoras 11.0Jacqueline J. MeulmanWillem J. HeiserSPSS Inc.

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1

1

2

DimensionPets owned

Newspaper read most often

2

Music preferred

Neighborhood preference

3

1 2

Dimension

A "BW

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Pets owned

Newspaper readmost often

2

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Neighborhoodpreference

3

1 2

Dimension

Sum

Multiple Fit

1 2

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Single Fit

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Centroids

Projected

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66-7061-65

56-6051-5546-5041-4536-4031-3526-3020-25

66-70

61-65

56-60

51-5546-50

41-45

36-40

31-3526-3020-25

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1.5

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.165 .431 .596

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1.564

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Set 2

Set 3

Mean

Loss

Eigenvalue

Fit

1 2

Dimension

Sum

!% 3&',!%

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SetAge in years

Marital status

1

Pets owned


2

Music preferred


3

1 2

Dimension

Sum

Multiple Fit

1 2

Dimension

Sum

Single Fit

1 2

Dimension

Sum

Single Loss

Age in Years

61-6551-5541-4531-3520-25

Qua

ntific

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r Age

2.0

1.5

1.0

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d1.0

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s

1.5

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3210-1-2

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0

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Age in years

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Popular

New wave

Classical

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Telegraaf

Nonevarious domeother than c

dog(s)

cat(s)

no

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61-65

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Dimension 1Secr

Jr E

Sr E

Jr M

Sr MSecr

Jr E

Sr E

Jr M

Sr M

Secr Jr ESr E

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??-??)

$???$$#2$B(('')F$/#""1?$0

??$2$4+$??F$

)F? ? ?#2$ )F??$?

.057 -.066 .194 -.071 .003

.093 .259 .243 .034 .012

.264 -.381 .011 .005 .038

.456 .233 -.058 -.003 .026

.130 -.201 -.079 .008 .006

1.000 .085

Staff GroupSr Managers

Jr Managers

Sr Employees

Jr Employees

Secretaries

Active Total

Mass 1 2 3

Score in Dimension

Inertia

.316 -1.438 .305 .044 .049

.233 .364 -1.409 -1.082 .007

.321 .718 -.074 1.262 .013

.130 1.074 1.976 -1.289 .016

1.000 .085

SmokingNone

Light

Medium

Heavy

Active Total

Mass 1 2 3

Score in Dimension

Inertia

"*3B ('*( ) ('* ("3( ) (="3 (=( ) "(=* ("3( )O O O

(*(( ("'B( )("'

)))))))))))))))))))))))))))))))))))))))(*( (B( )

()))))))))))))))))))))))))))))))))))))))

(3( ("B( )("

)))))))))))))))))))))))))))))))))))))))((3( ("(B( )

("()))))))))))))))))))))))))))))))))))))))O O O ("=W

,+',,&)4++&-'),+ !

-+$

?F$?)F??$$5?F$?F+$$$$??#""=#""3$4$$-$ ?$G )F F$

$$$$$$4 ?$)F#$5$

((310 $ ?$4$4""3[/(("(>((310

A!!>'

(("B( ) ((=AB( ) (((3O O ("'W

1 *,( ) "B

.273 .075

.100 .010

.020 .000

.085 16.442

Dimension1

2

3

Total

SingularValue Inertia Chi Square

!/ 3&',!!

48$$?

$4$ 2$4

$ ?$"([

$

-$$?#""A$?

?$-4$$F0 $ $4 # $ $ F /$0F$

7

$4$)$?7$4$$?$$$

$44?4#"""$4??$)

4$

-$$ 4$4?$-?$4$?$$)-$4$?$G4?$$?$$44?$$$$5

-$4$$5$)$$%7$4$2

G >

!!=03-73, >=G

! ,G# !

.G >

!!03>-73, >=G

! #G# !,G# !

,+',,&)4++&-'),+ !

-GGG

3

-)#/

GGG

! 0HI!2==HI!2=HI!=HI! HI

/GGG

"?H!I"

#"""(????$4B$$ $$? -$4 $$!8 F#=&

#""""$4$??$4$$?$$?

$$$$$/#""'09?2$$$$4$)-$.-$$$

Dimension 1

.3.2.1.0-.1-.2-.3-.4-.5

Dim

ensi

on 2

.3

.2

.1

0.0

-.1

-.2

NatiSecr Jr E

Sr E

Jr MSr M

! 3&',!!

7 2$-

$4 $4 9?)$$4$$4$4

A!!>!! #=&

7P!$4Q4

$?-?)$$??$$5$4$$%7$4$2

-GGG

-)#=/

GGG

" 0"2=="2="/)0-73

"="

Dimension 1

.4.3.2.1.0-.1-.2-.3-.4-.5

Dim

ensi

on 2

.3

.2

.1

0.0

-.1

-.2

-.3

-.4

Alco

No A

Heav

Medi

Ligh

None

,+',,&)4++&-'),+ !

/GGG

!?HI!=HI! HI

$$44$-$

! 3&',!!

A!!>!( #F=&

-) $4$! $$4#2$

3*[7$'1[$

-$G$4$44$4

242\2?4) 4 #"""*#"""1$4

A!!>!* 0F

.654 .029

.031 .463

.166 .002

.150 .506

.000 .000

.000 .000

1.000 1.000

SmokingNone

Light

Medium

Heavy

No Alcohol1

Alcohol1

Active Total

1 2

Of Point to Inertia ofDimension

Contribution

Supplementary point1.

.092 .800 .893

.526 .465 .991

.999 .001 1.000

.942 .058 1.000

.865 .133 .999

.631 .131 .761


Jr Managers

Sr Employees

Jr Employees

Secretaries

National Average1

Active Total

1 2 Total

Of Dimension to Inertia of Point

Contribution


,+',,&)4++&-'),+ !

A!!>!. 0

H$$4) , 2 $4 ?$ $

#"""*?$$ $$4$$ #""[4?-?4$?

$$$#"""1#4$?$A3[-)

4$

$-$?$$4$4?$$4$$4$F

$

0

$?$#2$4$$4] ?-$$X$$4$4)$4 ;

] $ $ $ 6 4 ?$$4?$$$$$$?$$?$?$))2$F$P$Q

.994 .006 1.000

.327 .657 .984

.982 .001 .983

.684 .310 .995

.040 .398 .439

.040 .398 .439

SmokingNone

Light

Medium

Heavy

No Alcohol1

Alcohol1

Active Total

1 2 Total


Contribution


! % 3&',!!

# """' ? $ $

2$& ?"#""=4 $? /B(3"0 /B(130 /B(("0 /B((''0 /(0 /(1A0 & $ "#""34 - $?$$

A!!>!/ 0

7$$45F4$$ ?$$$F$$?$$)

#$$$$?$

)$$4$4) $ $ $$44$$6$$$4$4$4$4$

25 5 46 10 12 4 51

42 29 20 9

10 7 18 6 7 2 25

4 0 11 2 3 2 11

18 10 78 24 33 13 88

4 1 17 3 7 4 18

61 45 62 25 193

Staff GroupSr Employees

National Average2

Secretaries

Sr Managers

Jr Employees

Jr Managers

Active Margin

NoneNo

Alcohol1 Alcohol1 Light Medium HeavyActiveMargin

Smoking

Supplementary column1. Supplementary row2.

,+',,&)4++&-'),+ ! !

$$$$?$4$$?4$$$$>)2?

$

-$$((=((=' -$$$ $4?$$$$4$$-?$$4$

$$$((??

#"""=#"""3??$-?F$$4$

$4$$$$-)$$?$$54$ $?4)$$$?$?2-$$('"=9?$$$4$$$5

A!!>!3 F

A!!>!5

.321 .316 .101

.248 .225 .067

.102 .050 .046

.081 .056 .350

.094 .070 -.184


Jr Managers

Sr Employees

Jr Employees

Secretaries

1 2

Standard Deviation inDimension

1-2

Correlation

.138 .442 .617

.534 .861 .054

.328 1.044 .016

.682 1.061 -.250

SmokingNone

Light

Medium

Heavy

1 2

Standard Deviation inDimension

1-2

Correlation

! 3&',!!

=

H$5?$$4$$$$5)

-?$

%$4$?4-)

$?$4

$$44

$$4?$-$52$$$5/ ?$ $5 +$ ? ?2)F??

$-??$-$5?F"

25??4$?)$$54$4??$

64?2)F?

$$$$??-?5?F"-$$?/-25?$$4$4??$$

\$?$4

$$4-$54

$$4?$-F$$4?$H?? ? $ 2 )F - $$ / ,

4$4$??$,$$4 $

7 $$/ ?

?$?$\$4??

?$$4??$$G$#""*)$5$$4

$$5

,+',,&)4++&-'),+ !

-$5$$?4$$$2$?4#2$$?)$$?4

$$5$$%7$4$2

-GGG

-)#

GGG

! 0HI!2==HI!2=HI!/)0HI

!=HI! HI

/GGG

"?

#"""A?$?$4

$$5)

$ $$

9?$$??$$$

A!!>!' 9F07=

Dimension 1

1.51.0.50.0-.5-1.0-1.5

Dim

ensi

on 2

1.0

.5

0.0

-.5

-1.0

-1.5

Smoking

Staf f Group

Alco

No A

Heav

Medi

Ligh

None

NatiSecr Jr E

Sr E

Jr MSr M

! / 3&',!!

8?$$5$$#""*H$??$8??$

# ""( $4 $ $$ $5- $???49$??

A!!>"8 9F0=

-$2$?4$$4

?$-$2-$$???$$$5)

-$$4$$)$

Dimension 1

2.01.00.0-1.0-2.0

Dim

ensi

on 2

3

2

1

0

-1

-2

Smoking

Staf f Group

AlcoNo A

HeavMediLighNone

NatiSecr

Jr E

Sr E

Jr M

Sr M

,+',,&)4++&-'),+ !

$6"C9

-2$$$$$4$7$$ $ $ $ 2$ 4 ?$$ 4L48F/"AA'02-

#?4)

$$$$?4

-$"""

$$-2??00AA++$4

-F?4$8-

M!) GGG

#M!)0A4L038

!!>!

# # # #

$?>$ $? $

$ $ 7$ 7$

? $ ? $>$

$

>? ? F$4

$ $ $4 $4

>$4$ $4

4 ? ?

4 4

$

? ? $ $

! 3&',!!

=

$$44?$$ ?

$ ? $,$$5$?$7$$)

?$2

!!=03!-3-73 >=G

1G >

!!=03!-3-73, >=G

-GGG

3#

-)#/

#"""? $ $-?3[$7$43'[

-4$?)$

,+',,&)4++&-'),+ !

A!!>"!

-?)$$$$%7$4$2

-GGG

3

/GGG

"="

#""???$$)

F$$4?$((*-$))

$G4$

$

.711 .506 .629 .629

.399 .159 .198 .827

.263 .069 .086 .913

.234 .055 .068 .982

.121 .015 .018 1.000

.804 3746.968 1.000 1.000

Dimension1

2

3

4

5

Total

SingularValue Inertia Chi Square Accounted for Cumulative

Proportion of Inertia

! 3&',!!

A!!>""

-?$?-$ 4?$$%)F$4$

$??$$$45$2-2G4$

$?2$4

.042 .035 .652 .173 .825

.073 .219 .512 .480 .992

.010 .044 .114 .152 .266

.039 .071 .454 .260 .715

.016 .090 .296 .509 .805

.152 .010 .953 .020 .973

.019 .005 .702 .053 .755

.086 .006 .893 .021 .914

.035 .001 .911 .007 .918

.056 .246 .404 .560 .964

.058 .001 .771 .003 .774

.008 .011 .446 .209 .655

.175 .013 .941 .021 .962

.006 .041 .179 .380 .559

.055 .064 .693 .255 .948

.020 .112 .212 .368 .580

.011 .005 .585 .085 .670

.000 .002 .000 .131 .131

.001 .002 .196 .214 .410

.010 .019 .392 .246 .637

.041 .001 .946 .006 .951

.062 .001 .965 .007 .972

.027 .001 .593 .007 .600

1.000 1.000

IMAGEfattening

men

South Australian

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new

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Active Total

1 2


1 2 Total


Contribution

,+',,&)4++&-'),+ !

#""$4$$G ?AA ++ 2$ $??004$

$

A!!>"( 9

?$$00?$$?$$-$AA++H???$$4

#""*$4$?+4$

4$

$?$-$$&$$.$$$-$?$$$

.187 .003 .744 .004 .748

.021 .134 .135 .272 .407

.362 .007 .951 .006 .957

.267 .010 .928 .011 .939

.127 .477 .420 .494 .914

.036 .369 .169 .550 .718

1.000 1.000

BRANDAA

BB

CC

DD

EE

FF

Active Total

1 2


1 2 Total


Contribution

!% 3&',!!

A!!>"* #=&

#""1?$H$$$$$G?00++$$?$$G??AA$4

A!!>". #=&

Dimension 1

1.51.0.50.0-.5-1.0

Dim

ensi

on 2

1.5

1.0

.5

0.0

-.5

-1.0

minorwomen

nutritious

y uppiesf reshugly

unpopular

sweet

working

children

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popular

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attractiv enewcaf f eine healthy

premiumtraditionalSouth Australian

men

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Dimension 1

1.51.0.50.0-.5-1.0

Dim

ensi

on 2

.9

.7

.5

.3

.1-.1-.3-.5-.7-.9

FF

EE

DDCC

BB

AA

,+',,&)4++&-'),+ !!

7=

9?$

_$$5)$-?$$4

$$58?/$$)504

$$5F$$4?$!?$$

?$$

- $$? $? 4

$$5 $$ %)7$4$2

-GGG

-)#

GGG

! 0HI!2==HI!2=HI

/GGG

!=HI! HI

#""'$4$?$$AA$4? $G??$$?$4-$00++G ?$ $

#4?$?

! 3&',!!

A!!>"/ 900#7=&

$6(CA72F

%$4 F4$-42$4$4$)

?7-?-$""

-?$4$?4$#

M!)GGG

#M!)0A 4L+03

!!>" 7

$ # $ #

7$ 7$ : :

% % H?\ H\

! ! # #

9 9

$

&7$ &7 !% !%

Dimension 1

2.01.51.0.50.0-.5-1.0-1.5

Dim

ensi

on 2

2.0

1.5

1.0

.5

0.0

-.5

-1.0

-1.5

BRAND

IMAGE

FF

EE

DDCC

BB

AA minorwomen

nutritious

yuppies

freshugly

unpopular

sweet

working

children

low fatcure

popular

tough

attractive

newcaffeine healthy

premiumtraditional

South Australian

men

fattening

,+',,&)4++&-'),+ !

H??$$

' 0GGG

A =HI3A HI3

#""=$4$?H$4$?$$4

S&7$: :&7$:?44$(-$

$$4$4$$

A!!>"3 A7F!8

$$S$$$?

9?$4FS4$$?$$4

$$?4$4$$4$$

Count

587 1212 701 1936 604 748 2139 2182 543 10652

587 920 940 1745 1188 713 1858 1737 597 10285

1212 920 879 831 1726 1631 949 1021 1494 10663

701 940 879 1374 968 1420 1645 1891 1220 11038

1936 1745 831 1374 2339 2451 347 959 2300 14282

604 1188 1726 968 2339 1092 2594 2734 923 14168

748 713 1631 1420 2451 1092 2571 2408 205 13239

2139 1858 949 1645 347 2594 2571 678 2442 15223

2182 1737 1021 1891 959 2734 2408 678 2329 15939

543 597 1494 1220 2300 923 205 2442 2329 12053

10652 10285 10663 11038 14282 14168 13239 15223 15939 12053 127542

Atl

Chi

Den

Hou

LA

Mia

NY

SF

Sea

DC

ROW

Total

Atl Chi Den Hou LA Mia NY SF Sea DC

COL

Total

!/ 3&',!!

-$?$

1 GGG

A 1!+03A *73.B

H?)?4$44$$%$2

A 4L+03

#$$4$4$

' 'GGG

A =3A 3

G >

!!=03=-3-73( >=G

G >

!!=03=-3-73( >=G

-GGG

-)#/

/GGG

"=

-?(?

$:4

/$$0?1A?H?\ !%4$/$0

,+',,&)4++&-'),+ !

A!!>"5

F

G4$4$$,%F$4$$$$$

?\?$$$5G4

4$$$5

?$F$$

?4?$#""A??

A!!>"' !8

2734 2147 1522 2033 798 2130 1986 595 552 2191 16688

2147 2734 1814 1794 989 1546 2021 876 997 2137 17055

1522 1814 2734 1855 1903 1008 1103 1785 1713 1240 16677

2033 1794 1855 2734 1360 1766 1314 1089 843 1514 16302

798 989 1903 1360 2734 395 283 2387 1775 434 13058

2130 1546 1008 1766 395 2734 1642 140 0 1811 13172

1986 2021 1103 1314 283 1642 2734 163 326 2529 14101

595 876 1785 1089 2387 140 163 2734 2056 292 12117

552 997 1713 843 1775 0 326 2056 2734 405 11401

2191 2137 1240 1514 434 1811 2529 292 405 2734 15287

16688 17055 16677 16302 13058 13172 14101 12117 11401 15287 145858

ROWAtl

Chi

Den

Hou

LA

Mia

NY

SF

Sea

DC

ActiveMargin

Atl Chi Den Hou LA Mia NY SF Sea DCActiveMargin

COL

Dimension 1

1.0.8.6.4.20.0-.2-.4-.6-.8

Dim

ensi

on 2

1.0

.8

.6

.4

.2

0.0

-.2

-.4

-.6-.8

DCSea

SF

NY

MiaLA

Hou

DenChi

Atl

! 3&',!!

-$4$$$$%?$$$)???$$$

!

177$6

-4$4F$ $ -$

! 3&',!

$6C01F

-2$?4$4? 4?$$9/"A=10?-)?$ -$""?$$?$$$$$$$9?

-2$$$$$4$4?2)

1 ?$4$$$a"a"a">aaa">a

1 G \aGHaG

1 6

-.,,4&)4++&-'),+ !

H?4$4

'2!GGG

2!5#'0HI

0+0#2HI

+0399919195020$/HI031 9319319131931

9191G >-73

9G >-73#

G >-73

1 G >-73

319131G >-73

31931G >-73#

2GGG

/"

2

%% 3&',!

F$F$#2$?)$$$('(="$4-$$$"

A!">! $

-?$?$$

-.,,4&)4++&-'),+ %!

-$?#"

% 3&',!

-/$20A:4B?;>G$$G

$$X4$

-.,,4&)4++&-'),+ %

A!">*

C$1$4$$$

?- $$

%/ 3&',!

A!">. 7?

C$?$-?$?$$?%34%3)44-$$$44)$$44?44$$$-

$$)$

-4F$$??$$$-$$#"'?4$$

#"9?$$4$-

)"$$?$$

Dimension 1

210-1-2

Dim

ensi

on 2

1

0

-1

-2

-3

-4

Brass

Length in half-inches

Bottom shape

Indentation of head

Head form

Thread

YES_Br

Not_Br

2_1/2_in

2_in

1_1/2_in

1_in1/2_insharp

f lat

STAR

NONESLITCYLINDER

CUP

ROUND

CONE

FLAT

Yes_ThreadNo_Thread

-.,,4&)4++&-'),+ %

A!">/ 7?

$?$?

$4F$$$)7$?

)$ ? $ # "1 2$ $"?1$?)

1$)

9?$4$

$$-

$$4$4)$

2

% 3&',!

A!">3 +F00

A!">5 +F00

Dimension 1

210-1-2

Dim

ensi

on 2

1

0

-1

-2

-3

-4

Yes_Thread

No_ThreadNo_ThreadNo_ThreadYes_ThreadYes_ThreadYes_ThreadYes_Thread

Yes_Thread

Yes_ThreadYes_ThreadYes_ThreadYes_ThreadYes_Thread

Yes_Thread

No_ThreadNo_Thread

No_Thread

No_ThreadNo_ThreadNo_ThreadNo_ThreadNo_ThreadNo_Thread

Dimension 1

210-1-2

Dim

ensi

on 2

1

0

-1

-2

-3

-4

CONE

FLATFLATFLATCYLINDERCYLINDERCYLINDERCYLINDER

CONE

ROUNDCYLINDERROUNDCYLINDERROUND

CONE

CUPCUP

CUP

FLATFLATFLATFLATFLATFLAT

-.,,4&)4++&-'),+ %

A!">' +F00

A!">!8 +F0

#"3?-+>?

% 3&',!

#"A?-)$4?

-.,,4&)4++&-'),+ %

A!">!! $

7?$#""$

?1)!$$$4

A!">!"

!% 3&',!

A!">!( +F0

-

!!

2$6

;

! 3&',!

00

/73919999999999993

-GGG

-73(

GGG

#500

+003.3399

/GGG

"! HI!

)-,+&)&).&-'),+ !

A!(>!

-?"()$$? ?))$$-$?$5?$\$$4*$7*$$\?$$$45)$$)$

0B

!/ 3&',!

-2$$.3

A!(>"

7$$4 $ $ $4 $ .3-)$$$$2:)7%$$2

-GGG

-3-73

2GGG

)-,+&)&).&-'),+ !

/GGG

!HI" "2!G7"10

2GGG

"

! 3&',!

A!(>*

)-,+&)&).&-'),+ !

A0

-

$$$?. #!(&

#"1?$

! 3&',!

A!(>/ #"(&

#"'?$3

4$?$$$$

P$Q$47$?$4?$)$$4$4$9?$42$4$

Dimension 3

.8.6.4.20.0-.2-.4-.6-.8

Dim

ensi

on 2

1.0

.8

.6

.4

.2

-.0

-.2

-.4

-.6

Uncle

Son

Sister

NieceNephew

Mother

GrandsonGrandmotherGrandf ather

Granddaughter

FatherDaughter

Cousin

Brother

Aunt

-.999 .062 .027

.013 -.118 .985

-.079 -.992 -.169

Variablegender

generation

degree

1 2 3

Dimension

)-,+&)&).&-'),+ !

A!(>5

?$$$$$$$

$$4$$$4$?$$-?4??$$$$$$$4$?"$

$$$$2$4$?$$?)

$

& ?$$4$$$4$?

$$$?$

0B

% 3&',!

$$$2$$$/ 0$$2:7%$$2

-GGG

/71#2

GGG

+0399

G

)-,+&)&).&-'),+ !

A!(>' 6

2

-$$2

$$$

A!(>!8

-$5?$#"(('*$$$$(("1=

Proximities

100806040200

Tran

sfor

med

Pro

xim

ities

1.6

1.4

1.2

1.0

.8

.6

.4

.2

Source

SRC_6

SRC_5

SRC_4

SRC_3

SRC_2

SRC_1

.03157

.17769

.62320

.08231

.96843

.98409

Normalized Raw Stress

Stress-I

Stress-II

S-Stress

Dispersion AccountedFor (D.A.F.)

Tucker's Coefficient ofCongruence

3&',!

A0

-

$$$4

$

A!(>!!

- 42

$ $4 %:

$$2$4$2644242??$

$?4-

$$$4

42

5$$?)$2$

AFK

7$$

$$$$$?

J7F7?$444

): 4?$

+$?

7$2

7$

7

??

4$

4?$$$

+

?

4? /?4 ?0-

4?$$?4$$ 4)

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76

4&,5,,,

+$$4$7$?? /YY0? 4?/G$$9$4420

F F?

+$$F /Q R0$

G/ST0$\44$$?$

+$$$

:S2$$$$

-

?42

76

L$$?$$??

42??

+

?$?

4 $- $

$

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4?

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\ 4 $ 4? 4 $

9? 2

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\ $$4?$$ $$?$?$

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FREQUENCIES VARIABLES=JOBCAT SEXRACE /PERCENTILES=25 50 75 /BARCHART.

freq var=jobcat sexrace /percent=25 50 75 /bar.$ $ $-2$

)$

$?

$

+

ANACOR TABLE={row var (min, max) BY column var (min, max)} {ALL (# of rows, # of columns) }

[/DIMENSION={2** }] {value}

[/NORMALIZATION={CANONICAL**}] {PRINCIPAL } {RPRINCIPAL } {CPRINCIPAL } {value }

[/VARIANCES=[SINGULAR] [ROWS] [COLUMNS]]

[/PRINT=[TABLE**] [PROFILES] [SCORES**] [CONTRIBUTIONS**] [DEFAULT] [PERMUTATION] [NONE]]

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