- Page 1 and 2: SPSS Categories® 11.0 Jacqueline J
- Page 3 and 4: Installation Compatibility Serial N
- Page 5 and 6: Tell Us Your Thoughts Your comments
- Page 7 and 8: Contents 1 Introduction to SPSS Opt
- Page 9 and 10: 6 Homogeneity Analysis (HOMALS) 59
- Page 11 and 12: Example 2: Perceptions of Coffee Br
- Page 13 and 14: 1 Introduction to SPSS Optimal Scal
- Page 15 and 16: Introduction to SPSS Optimal Scalin
- Page 17 and 18: Category Codes Introduction to SPSS
- Page 19 and 20: Introduction to SPSS Optimal Scalin
- Page 21 and 22: Categorical Principal Components An
- Page 23 and 24: Introduction to SPSS Optimal Scalin
- Page 25 and 26: Introduction to SPSS Optimal Scalin
- Page 27: Scatterplot Matrices Introduction t
- Page 31 and 32: Define Scale in Categorical Regress
- Page 33 and 34: Figure 2.3 Categorical Regression D
- Page 35 and 36: Categorical Regression Options Cate
- Page 37 and 38: Categorical Regression (CATREG) 25
- Page 39 and 40: 3 Categorical Principal Components
- Page 41 and 42: Figure 3.2 Categorical Principal Co
- Page 43 and 44: To Define the Scale and Weight in C
- Page 45 and 46: Categorical Principal Components Mi
- Page 47 and 48: Categorical Principal Components An
- Page 49 and 50: Categorical Principal Components An
- Page 51 and 52: Categorical Principal Components Op
- Page 53 and 54: 4 Nonlinear Canonical Correlation A
- Page 55 and 56: Figure 4.1 Optimal Scaling dialog b
- Page 57 and 58: Nonlinear Canonical Correlation Ana
- Page 59 and 60: Figure 4.5 OVERALS Options dialog b
- Page 61 and 62: 5 Correspondence Analysis One of th
- Page 63 and 64: Select a row variable. Select a col
- Page 65 and 66: Correspondence Analysis 53 straints
- Page 67 and 68: Standardization Method. Choose one
- Page 69 and 70: Correspondence Analysis Plots The P
- Page 71 and 72: 6 Homogeneity Analysis (HOMALS) Hom
- Page 73 and 74: Figure 6.2 Homogeneity Analysis (HO
- Page 75 and 76: Homogeneity Analysis Options Homoge
- Page 77 and 78: 7 Multidimensional Scaling (PROXSCA
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Proximities in Matrices across Colu
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Proximities in One Column Multidime
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Measures Dialog Box Figure 7.6 Mult
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Multidimensional Scaling (PROXSCAL)
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Multidimensional Scaling Options Mu
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Multidimensional Scaling (PROXSCAL)
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Figure 7.12 Multidimensional Scalin
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8 Categorical Regression Examples T
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Figure 8.2 Regression coefficients
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Categorical Regression Examples 85
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Model Fit and Coefficients Categori
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Categorical Regression Examples 89
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Categorical Regression Examples 91
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Figure 8.14 Residuals for categoric
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To compute the new variables as sug
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Figure 8.16 Regression coefficients
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Figure 8.20 Transformation plot for
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Figure 8.24 Transformation plot for
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Categorical Regression Examples 103
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Figure 8.30 Transformation plot for
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108 Chapter 9 Example 1: Interrelat
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110 Chapter 9 Number of Dimensions
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112 Chapter 9 Object Scores Figure
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114 Chapter 9 Component Loadings pe
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116 Chapter 9 Figure 9.9 Model summ
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118 Chapter 9 Figure 9.12 Three-dim
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120 Chapter 9 To produce categorica
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122 Chapter 9 Quantifications for S
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124 Chapter 9 Object Scores which m
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126 Chapter 9 Table 9.4 Object scor
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128 Chapter 9 Differential Developm
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130 Chapter 9 With respect to sexua
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132 Chapter 10 Examining the Data T
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134 Chapter 10 Figure 10.1 Object s
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136 Chapter 10 Figure 10.4 Componen
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138 Chapter 10 Component Loadings T
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140 Chapter 10 In contrast, the tra
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142 Chapter 10 constraint is applie
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144 Chapter 10 Figure 10.14 Centroi
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146 Chapter 10 The multiple-fit and
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148 Chapter 10 Figure 10.20 display
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11 Correspondence Analysis Examples
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Correspondence Analysis Examples 15
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Correspondence Analysis Examples 15
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Inertia Figure 11.6 Column profiles
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Dimensionality The Euclidean distan
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Model... Dimensions in solution: 2
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Plots... Scatterplots Biplot (dese
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Figure 11.15 Contributions of dimen
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Correspondence Analysis Examples 16
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Correspondence Analysis Examples 16
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Example 2: Perceptions of Coffee Br
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Contributions Figure 11.21 Inertia
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Plots Correspondence Analysis Examp
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Symmetrical Normalization Correspon
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Correspondence Analysis Examples 17
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Figure 11.28 Correspondence table f
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12 Homogeneity Analysis Examples Th
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Multiple Dimensions Now, to obtain
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Homogeneity Analysis Examples 187 T
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Figure 12.4 Plot of discrimination
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Figure 12.6 Selected category quant
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Figure 12.9 Object scores labeled w
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Figure 12.11 Eigenvalues Dimension
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13 Multidimensional Scaling Example
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Figure 13.1 Scree Plot Normalized R
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Plots... Stress (deselect) Common
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Final Coordinates of the Common Spa
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Figure 13.8 Transformed degree and
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Figure 13.9 Transformed proximities
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Syntax Reference
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212 Syntax Reference Syntax Rules
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ANACOR Overview Options ANACOR TABL
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Casewise Data Table Data ANACOR 217
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ANACOR 219 column and its correspon
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MATRIX Subcommand ANACOR 221 • Th
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ANACOR 223 • The table cell value
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226 Syntax Reference Overview Optio
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228 Syntax Reference Example CATPCA
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230 Syntax Reference Level Keyword
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232 Syntax Reference DISTR Keyword
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234 Syntax Reference DIMENSION Subc
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236 Syntax Reference VAF Variance a
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238 Syntax Reference CATEGORY(varli
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240 Syntax Reference SAVE Subcomman
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242 Syntax Reference OUTFILE Subcom
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244 Syntax Reference Options Basic
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246 Syntax Reference • VARIABLES
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248 Syntax Reference SPORD and SPNO
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250 Syntax Reference SUPPLEMENTARY
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252 Syntax Reference PLOT Subcomman
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254 Syntax Reference OUTFILE Subcom
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256 Syntax Reference Options Basic
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258 Syntax Reference Table Data Exa
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260 Syntax Reference EQUAL Subcomma
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262 Syntax Reference PRINT Subcomma
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264 Syntax Reference OUTFILE Subcom
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266 Syntax Reference • The table
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268 Syntax Reference Writing matric
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270 Syntax Reference • The maximu
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272 Syntax Reference The following
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274 Syntax Reference • A variable
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276 Syntax Reference Basic Specific
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278 Syntax Reference SETS Subcomman
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280 Syntax Reference CONVERGENCE Su
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282 Syntax Reference SAVE Subcomman
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PRINCALS Overview Options PRINCALS
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Example PRINCALS 287 can use COMPUT
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PRINCALS 289 NUME Numerical. This i
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DEFAULT QUANT and OBJECT. ALL All a
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MATRIX Subcommand PRINCALS 293 PRIN
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PROXSCAL PROXSCAL varlist [/TABLE =
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PROXSCAL 297 Output. You can produc
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PROXSCAL 299 sourceid Source identi
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PROXSCAL 301 • PROXSCAL reads two
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CONDITION Subcommand PROXSCAL 303 C
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MODEL Subcommand PROXSCAL 305 MODEL
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Example PROXSCAL 307 PROXSCAL aunt
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PROXSCAL 309 STRESS Stress measures
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PROXSCAL 311 CORRELATIONS Correlati
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Bibliography Barlow, R. E., D. J. B
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Bibliography 315 Lebart L., A. Mori
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Subject Index active row in Corresp
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importance in Categorical Regressio
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ow scores in Correspondence Analysi
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324 Syntax Index CENTROID (keyword)
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326 Syntax Index PROXSCAL command,
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328 Syntax Index CATREG command, 25
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330 Syntax Index TRDATA (keyword) C