9780470113448

SPSS (Statistical Package for the Social Sciences) is a data management and analysis software that allows users to generate solid, decision-making results by performing statistical analysis This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more Explains how to output information into striking charts and graphs For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level

Arthur Griffith uses SPSS in research for special projects with the U.S. Department of Defense. He is the author and producer of seven CD tutorials on computer programming.

Introduction	p. 1
About This Book	p. 1
About the Data	p. 2
Who This Book Is For	p. 2
How This Book Is Organized	p. 2
The Fundamental Mechanics of SPSS	p. 3
Getting Data into and out of SPSS	p. 3
Graphing Data	p. 3
Analysis	p. 3
Programming SPSS with Command Syntax	p. 4
Programming SPSS with Python and Scripts	p. 4
The Part of Tens	p. 4
Icons Used in This Book	p. 4
Where to Go from Here	p. 5
The fundamental Mechanics of SPSS	p. 7
Introducing SPSS	p. 9
Garbage In, Garbage Out	p. 9
From Whence SPSS?	p. 10
The Four Ways to Talk to SPSS	p. 11
The Things You Can and Cannot Do with SPSS	p. 12
How SPSS Works	p. 12
All the Strange Words	p. 14
All Those Files	p. 14
Where to Get Help When You Need It	p. 15
Your Most Valuable Possession	p. 16
You Can Dive As Deep As You Want to Go	p. 16
Installing and Running the Software	p. 17
Getting SPSS into Your Computer	p. 17
The things you need	p. 18
Cranking up the installer	p. 18
The SPSS installation sequence	p. 19
Registration	p. 25
Starting SPSS	p. 26
The Default Settings and What They Can Become	p. 27
General options	p. 28
Viewer options	p. 29
Draft viewer options	p. 31
Labeling output	p. 32
Chart options	p. 33
Interactive chart options	p. 34
Pivot table options	p. 35
A few data-handling options	p. 36
Currency formats	p. 37
Scripts options	p. 39
A Simple Statistical Analysis Example	p. 41
When the Tanana at Nenana Thaws	p. 41
Entering the Data	p. 42
The data definitions	p. 42
The actual data	p. 46
The Most Likely Hour	p. 49
Transforming Data	p. 51
The Two Kinds of Numbers	p. 54
The Day It Is Most Likely to Happen	p. 56
Getting Data into and out of SPSS	p. 59
Entering Data from the Keyboard	p. 61
The Variable View is for Entering Variable Definitions	p. 61
Name	p. 62
Type	p. 63
Width	p. 66
Decimals	p. 66
Label	p. 66
Value	p. 67
Missing	p. 68
Columns	p. 69
Align	p. 69
Measure	p. 69
The Data View Is for Entering and Viewing Data Items	p. 71
Filling In Missed Categorical Values	p. 72
Reading and Writing Files	p. 75
The SPSS File Format	p. 75
Formatting a Text File for Input into SPSS	p. 76
Reading Simple Data from a Text File	p. 76
Transferring Data from Another Program	p. 84
Reading from an unknown program type	p. 85
Reading an Excel file	p. 85
Reading from a known program type	p. 87
Saving Data and Images	p. 88
Data and Data Types	p. 91
Dates and Times	p. 91
Time Schedule	p. 94
Creating a Multiple Response Set	p. 96
Copying Data Properties	p. 99
Messing with the Data After It's in There	p. 103
Sorting Cases	p. 103
Using an ID to Identify Cases	p. 106
Counting Case Occurrences	p. 107
Recoding Variables	p. 111
Same-variable recoding	p. 111
Different variable recoding	p. 113
Automatic recoding	p. 115
Binning	p. 117
Getting Data out of SPSS	p. 123
Printing	p. 123
Exporting to a Database	p. 124
Using SPSS Viewer	p. 124
Creating an HTML Web page file	p. 126
Creating a text file	p. 127
Creating an Excel file	p. 129
Creating a Word document file	p. 130
Creating a PowerPoint slide document	p. 132
Creating a PDF document	p. 133
Graphing Data	p. 137
Fundamentals of Graphing	p. 139
Building Graphs the Easy Way	p. 140
Gallery tab	p. 140
Basic Elements tab	p. 142
Groups/Point ID tab	p. 145
Titles and footnotes tab	p. 146
Element Properties dialog box	p. 146
Options	p. 151
Building Graphs the Fast Way	p. 152
Building Graphs the Old-Fashioned Way	p. 153
Editing a Graph	p. 154
Some Types of Graphs	p. 157
Line Chart	p. 157
Simple line chart	p. 158
A chart with multiple lines	p. 159
Scatterplots	p. 160
A simple scatterplot	p. 160
Scatterplot showing multiple variables	p. 162
Three-dimensional scatterplot	p. 163
Dot plot	p. 164
Scatterplot matrix	p. 165
Drop-line chart	p. 165
Bar Graphs	p. 167
Simple bar graph	p. 167
Clustered bar chart	p. 168
Stacked bar chart	p. 169
Three-dimensional bar chart	p. 171
Error bars	p. 172
More Types of Graphs	p. 175
Histograms	p. 175
Simple histogram	p. 176
Stacked histogram	p. 177
Frequency polygon	p. 178
Population pyramid	p. 179
Area Graphs	p. 180
Simple area graph	p. 181
Stacked area chart	p. 182
Pie Charts	p. 183
Boxplots	p. 184
Simple boxplot	p. 184
Clustered boxplot	p. 185
One-dimensional boxplot	p. 186
High-Low Graphs	p. 188
High-low close	p. 188
Simple range bar	p. 188
Differenced area	p. 190
Dual-Axis Graphs	p. 191
Dual Y-axes with categorical X-axis	p. 191
Dual Y-axes with scale X-axis	p. 192
Maps	p. 195
Relating Geography and Data	p. 195
Range of Values	p. 198
Dot Density	p. 200
Graduated Symbol	p. 202
Individual Values	p. 205
Bar Charts	p. 207
Multiple Themes	p. 209
Analysis	p. 211
Executing an Analysis	p. 213
Report Generation	p. 213
Processing summaries	p. 214
Case summaries	p. 214
Summaries in rows	p. 217
Summaries in columns	p. 221
OLAP cubes	p. 223
Pivot Tables	p. 226
Some Analysis Examples	p. 229
Comparison of Means	p. 229
Simple mean compare	p. 230
One-sample T test	p. 231
Independent-samples T test	p. 232
Paired-samples T test	p. 233
One-way ANOVA	p. 233
Linear model	p. 234
One variable	p. 234
More than one variable	p. 235
Correlation	p. 237
Bivariate	p. 237
Partial correlation	p. 238
Regression	p. 239
Linear	p. 239
Curve estimation	p. 240
Log Linear	p. 242
Programming SPSS with Command Syntax	p. 215
The Command Syntax Language	p. 247
Commands	p. 247
Keywords	p. 248
Variables and Constants	p. 248
Data Declaration	p. 249
Comments	p. 250
The Execution of Commands	p. 251
Flow Control and Conditional Execution	p. 252
IF	p. 252
DO IF	p. 254
SELECT IF	p. 254
DO REPEAT	p. 254
LOOP	p. 255
BREAK	p. 256
Files	p. 256
GET	p. 257
IMPORT	p. 257
SAVE	p. 258
EXPORT	p. 258
Command Syntax Language Examples	p. 259
Writing a Syntax Command Program	p. 259
Saving and Restoring Programs	p. 261
Adding a Syntax Program to the Menu	p. 261
Doing Several Things at Once	p. 265
Graphing P-P and Q-Q Plots	p. 266
Splitting Cases	p. 267
Examining Data	p. 269
Programming SPSS with Python and Scripts	p. 271
The Python Programming Language	p. 273
You Type It In and Python Does It	p. 273
The Way Python Does Arithmetic	p. 274
The Way Python Handles Words	p. 276
The Way Python Handles Lists	p. 280
Making Functions	p. 281
Asking Questions with if	p. 283
Doing It Over Again with for and while	p. 285
Python inside SPSS	p. 289
Installing Python for SPSS	p. 289
A Language inside a Language	p. 294
Finding out about modules	p. 295
Installing more modules	p. 296
Multiple Commands with One Submit	p. 296
Working with SPSS Variables	p. 297
Accessing SPSS from Outside	p. 298
Scripts	p. 299
Picking Up BASIC	p. 299
Scripting Fundamentals	p. 300
Software classes, objects, and references	p. 300
The classes of SPSS	p. 301
Properties and methods	p. 302
Creating a New Script	p. 304
Global Procedures	p. 305
Automatic Scripts	p. 305
The Part of Tens	p. 301
Ten Modules You Can Add to SPSS	p. 309
Geoset Manager	p. 309
Amos	p. 310
Missing Value Analysis	p. 310
Regression Models	p. 311
Advanced Multivariate Models	p. 311
Exact Tests	p. 312
SPSS Categories	p. 312
SPSS Trends	p. 313
SPSS Map	p. 313
SPSS Complex Samples	p. 314
Ten Useful Things You Can Find on the Internet	p. 315
SPSS Humor	p. 316
The SPSS Home Page	p. 316
SPSS Developer Center	p. 316
User Groups	p. 317
Mailing Lists and News Groups	p. 317
Python Programming	p. 318
Script and Syntax Programming	p. 319
Tutorials for SPSS and Statistics	p. 319
SPSS Wiki	p. 321
PSPP, a Free SPSS	p. 321
Glossary	p. 323
Index	p. 331
Table of Contents provided by Ingram. All Rights Reserved.

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