An intermediate guide to SPSS programming: using syntax for data management
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks, Calif. [u.a.]
Sage
2005
|
| Schlagworte: | |
| Online-Zugang: | Table of contents only Publisher description Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references (p. 227) and index |
| Beschreibung: | XI, 233 S. 23 cm |
| ISBN: | 0761931856 |
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| 264 | 1 | |a Thousand Oaks, Calif. [u.a.] |b Sage |c 2005 | |
| 300 | |a XI, 233 S. |c 23 cm | ||
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| adam_text | Titel: An intermediate guide to SPSS programming
Autor: Boslaugh, Sarah
Jahr: 2005
Contents
Preface xi
Part I: An Introduction to SPSS
1. What Is SPSS? 3
A Brief History of SPSS 3
SPSS as a High-Level Programming
Language 3
SPSS as a Statistical Analysis Package 4
2. Interacting With SPSS 5
The SPSS Session 5
SPSS Windows 6
Basics About SPSS Commands 6
Order of Execution of SPSS Commands 7
Batch Mode and Interactive Mode 8
3. Types of Files in SPSS 9
The Command or Syntax Files 9
The Active or Working Data File 10
The Output Files 10
The Journal Files 12
4. Customizing the SPSS Environment 13
Displaying Current Settings 13
Changing Current Settings 14
Eliminating Page Breaks 14
Increasing Memory Allocation 15
Changing the Default Format for
Numeric Variables 15
Part II: An Introduction to Computer
Programming With SPSS
5. An Introduction to Computer Programming 19
Using Syntax Versus the Menü System 19
The Process of Writing and Testing Syntax 20
Typographical Conventions Used in This Book 21
How Code and Output Are Presented in This Book 21
Some Reasons to Use Syntax 22
Beginning to Learn Syntax 2 3
Programming Style 2 5
6. Programming Errors 27
Syntax Errors and Logical Errors 28
The Debugging Process 28
Common SPSS Syntax Errors 2 8
Finding Logical Errors 30
Changing Default Error and Warning Settings 31
Deciphering SPSS Error and Warning Messages 31
7. Documenting Syntax, Data, and Output Files 33
Using Comments in SPSS Programs 33
Using Comments to Prevent Code
From Executing 34
Documenting a Data File 34
Echoing Text in the Output File 3 5
Using Titles and Subtitles 36
Part III: Reading and Writing Data
Files in SPSS
8. Reading Raw Data in SPSS 39
Reading Inline Data 40
Reading External Data 41
The FIXED, FREE, and LIST Formats 42
Specifying the Delimiter Symbol 46
Reading Aggregated Data With DATA LIST 4 7
Reading Data With Multiple Records Per Case 48
Using FORTRAN-Like Variable Specifications 49
Two Shortcuts for Declaring Variables
With Identical Formats 50
Specifying Decimal Values in Data 5 2
9. Reading SPSS System and Portable Files 55
Reading an SPSS System File 5 5
Reading an SPSS Portable File 5 6
Dropping, Reordering, and Renaming Variables 5 6
10. Reading Data Files Created by Other Programs 59
Reading Microsoft Excel Files 59
Reading Data From Earlier Versions of Excel 60
Reading Data From Later Versions of Excel 61
Using GET TRANSLATE to Read Other
Types of Files 62
Reading Data From Database Programs 62
Reading SAS Data Files 62
11. Reading Complex Data Files 65
Reading Mixed Data Files 6 5
Reading Grouped Data Files 6 7
Reading Nested Data Files 68
Reading Data in Matrix Format 69
12. Saving Data Files 7 5
Saving an SPSS System File 7 5
Saving an SPSS Portable Data File 76
Saving a Data File for Use by Other Programs 76
Saving Text Files 77
Part IV: File Manipulation and Management in SPSS
13. Inspecting a Data File 81
Determining the Number of Cases in a File 82
Determining What Variables Are in a File 82
Getting More Information About the Variables 8 3
Checking for Duplicate Cases 84
Looking at Variable Values and Distributions 8 6
Creating Standardized Scores 88
14. Combining Data Files 91
Adding New Variables to Existing Cases 91
Adding Summary Data to an
Individual-Level File 94
Combining Cases From Several Files 9 5
Updating Values in a File 9 7
15. Data File Management 99
Reordering and Dropping Variables
in the Active File 99
Eliminating Duplicate Records 100
Sorting a Data Set 102
Splitting a Data Set 103
Selecting Cases 103
Filtering Cases 104
Weighting Cases 105
16. Restructuring Files 107
The Unit of Analysis 107
Changing File Structure From Univariate
to Multivariate 108
Incorporating a Test Condition
When Restructuring a Data File 112
Changing File Structure From
Multivariate to Univariate 115
Transposing the Rows and
Columns of a Data Set 116
17. Missing Data in SPSS 119
Types of Missing Data 120
System-Missing and User-Missing Data 120
Looking at Missing Data on
Individual Variables 122
Looking at the Pattern of User-Missing
Data Among Pairs of Variables 123
Looking at the Pattern of Missing Data
Across Many Variables 124
Changing the Value of Blanks in
Numeric Fields 126
Treatment of Missing Values in SPSS Commands 127
Substituting Values for Missing Data 128
18. Using Random Processes in SPSS 133
The Random-Number Seed 133
Generating Random Distributions 134
Random Selection of Cases 134
Random Group Assignment 136
Random Selection From Multiple Groups 136
Part V: Variables and Variable Manipulations
19. Variables and Variable Formats 139
String and Numeric Variables 139
System Variables 141
Scratch Variables 141
Input and Output Formats 141
The NUMBER Format 143
The COMMA, DOT, DOLLAR, and PCT Formats 144
20. Variable and Value Labels 147
Rules About Variable Names in SPSS 147
Systems for Naming Variables 148
Adding Variable Labels 149
Adding Value Labels 149
Controlling Whether Labels Are Displayed in Tables 150
Applying the Data Dictionary From a Previous Data Set 151
21. Recoding and Creating Variables 153
The IF Statement 154
Relational Operators 154
Logical Variables 156
Logical Operators 158
Creating Dummy Variables 160
The RECODE and AUTORECODE Commands 161
Converting Variables From Numeric to String
or String to Numeric 164
Counting Occurrences of Values Across Variables 166
Counting the Occurrence of Multiple
Values in One Variable 167
Creating a Cumulative Variable 168
22. Numeric Operations and Functions 171
Arithmetic Operations 171
Mathematical and Statistical Functions 173
Missing Values in Numeric Operations and Functions 175
Domain Errors 176
A Substring-Like Technique for Numeric Variables 177
23. String Functions 179
The Substring Function 179
Concatenation 180
Searching for Characters Within a String Variable 182
Adding or Removing Leading or Trailing Characters 183
Finding Character Strings Identified by Delimiters 186
24. Date and Time Variables 189
How Date and Time Variables Are Stored in SPSS 189
An Overview of SPSS Date Formats 190
Reading Dates With Two-Digit Years
in the Correct Century 192
Creating Date Variables With Syntax 193
Creating Date Variables From String Variables 193
Extracting Part of a Date Variable 195
Doing Arithmetic With Date Variables 196
Creating a Variable Holding Today s Date 198
Designating Missing Values for Date Variables 199
Part VI: Other Topics
25. Automating Tasks Within Your Program 203
Vectors 203
The DO IF Command Structure 205
The DO REPEAT Command Structure 206
The LOOP Command Structure 208
26. A Brief Introduction to the SPSS Macro Language 213
The Parts of a Macro 214
Macros Without Arguments 215
Macros With Arguments 215
Specifying Arguments by Position 217
Macros Using a Flexible Number of Variables 217
Controlling the Macro Language Environment 220
Sources of Further Information About SPSS Macros 221
27. Resources for Learning More About SPSS Syntax 223
Books 223
Web Pages 224
Mailing Lists 225
References 227
Index 229
About the Author 233
|
| adam_txt |
Titel: An intermediate guide to SPSS programming
Autor: Boslaugh, Sarah
Jahr: 2005
Contents
Preface xi
Part I: An Introduction to SPSS
1. What Is SPSS? 3
A Brief History of SPSS 3
SPSS as a High-Level Programming
Language 3
SPSS as a Statistical Analysis Package 4
2. Interacting With SPSS 5
The SPSS Session 5
SPSS Windows 6
Basics About SPSS Commands 6
Order of Execution of SPSS Commands 7
Batch Mode and Interactive Mode 8
3. Types of Files in SPSS 9
The Command or Syntax Files 9
The Active or Working Data File 10
The Output Files 10
The Journal Files 12
4. Customizing the SPSS Environment 13
Displaying Current Settings 13
Changing Current Settings 14
Eliminating Page Breaks 14
Increasing Memory Allocation 15
Changing the Default Format for
Numeric Variables 15
Part II: An Introduction to Computer
Programming With SPSS
5. An Introduction to Computer Programming 19
Using Syntax Versus the Menü System 19
The Process of Writing and Testing Syntax 20
Typographical Conventions Used in This Book 21
How Code and Output Are Presented in This Book 21
Some Reasons to Use Syntax 22
Beginning to Learn Syntax 2 3
Programming Style 2 5
6. Programming Errors 27
Syntax Errors and Logical Errors 28
The Debugging Process 28
Common SPSS Syntax Errors 2 8
Finding Logical Errors 30
Changing Default Error and Warning Settings 31
Deciphering SPSS Error and Warning Messages 31
7. Documenting Syntax, Data, and Output Files 33
Using Comments in SPSS Programs 33
Using Comments to Prevent Code
From Executing 34
Documenting a Data File 34
Echoing Text in the Output File 3 5
Using Titles and Subtitles 36
Part III: Reading and Writing Data
Files in SPSS
8. Reading Raw Data in SPSS 39
Reading Inline Data 40
Reading External Data 41
The FIXED, FREE, and LIST Formats 42
Specifying the Delimiter Symbol 46
Reading Aggregated Data With DATA LIST 4 7
Reading Data With Multiple Records Per Case 48
Using FORTRAN-Like Variable Specifications 49
Two Shortcuts for Declaring Variables
With Identical Formats 50
Specifying Decimal Values in Data 5 2
9. Reading SPSS System and Portable Files 55
Reading an SPSS System File 5 5
Reading an SPSS Portable File 5 6
Dropping, Reordering, and Renaming Variables 5 6
10. Reading Data Files Created by Other Programs 59
Reading Microsoft Excel Files 59
Reading Data From Earlier Versions of Excel 60
Reading Data From Later Versions of Excel 61
Using GET TRANSLATE to Read Other
Types of Files 62
Reading Data From Database Programs 62
Reading SAS Data Files 62
11. Reading Complex Data Files 65
Reading Mixed Data Files 6 5
Reading Grouped Data Files 6 7
Reading Nested Data Files 68
Reading Data in Matrix Format 69
12. Saving Data Files 7 5
Saving an SPSS System File 7 5
Saving an SPSS Portable Data File 76
Saving a Data File for Use by Other Programs 76
Saving Text Files 77
Part IV: File Manipulation and Management in SPSS
13. Inspecting a Data File 81
Determining the Number of Cases in a File 82
Determining What Variables Are in a File 82
Getting More Information About the Variables 8 3
Checking for Duplicate Cases 84
Looking at Variable Values and Distributions 8 6
Creating Standardized Scores 88
14. Combining Data Files 91
Adding New Variables to Existing Cases 91
Adding Summary Data to an
Individual-Level File 94
Combining Cases From Several Files 9 5
Updating Values in a File 9 7
15. Data File Management 99
Reordering and Dropping Variables
in the Active File 99
Eliminating Duplicate Records 100
Sorting a Data Set 102
Splitting a Data Set 103
Selecting Cases 103
Filtering Cases 104
Weighting Cases 105
16. Restructuring Files 107
The Unit of Analysis 107
Changing File Structure From Univariate
to Multivariate 108
Incorporating a Test Condition
When Restructuring a Data File 112
Changing File Structure From
Multivariate to Univariate 115
Transposing the Rows and
Columns of a Data Set 116
17. Missing Data in SPSS 119
Types of Missing Data 120
System-Missing and User-Missing Data 120
Looking at Missing Data on
Individual Variables 122
Looking at the Pattern of User-Missing
Data Among Pairs of Variables 123
Looking at the Pattern of Missing Data
Across Many Variables 124
Changing the Value of Blanks in
Numeric Fields 126
Treatment of Missing Values in SPSS Commands 127
Substituting Values for Missing Data 128
18. Using Random Processes in SPSS 133
The Random-Number Seed 133
Generating Random Distributions 134
Random Selection of Cases 134
Random Group Assignment 136
Random Selection From Multiple Groups 136
Part V: Variables and Variable Manipulations
19. Variables and Variable Formats 139
String and Numeric Variables 139
System Variables 141
Scratch Variables 141
Input and Output Formats 141
The NUMBER Format 143
The COMMA, DOT, DOLLAR, and PCT Formats 144
20. Variable and Value Labels 147
Rules About Variable Names in SPSS 147
Systems for Naming Variables 148
Adding Variable Labels 149
Adding Value Labels 149
Controlling Whether Labels Are Displayed in Tables 150
Applying the Data Dictionary From a Previous Data Set 151
21. Recoding and Creating Variables 153
The IF Statement 154
Relational Operators 154
Logical Variables 156
Logical Operators 158
Creating Dummy Variables 160
The RECODE and AUTORECODE Commands 161
Converting Variables From Numeric to String
or String to Numeric 164
Counting Occurrences of Values Across Variables 166
Counting the Occurrence of Multiple
Values in One Variable 167
Creating a Cumulative Variable 168
22. Numeric Operations and Functions 171
Arithmetic Operations 171
Mathematical and Statistical Functions 173
Missing Values in Numeric Operations and Functions 175
Domain Errors 176
A Substring-Like Technique for Numeric Variables 177
23. String Functions 179
The Substring Function 179
Concatenation 180
Searching for Characters Within a String Variable 182
Adding or Removing Leading or Trailing Characters 183
Finding Character Strings Identified by Delimiters 186
24. Date and Time Variables 189
How Date and Time Variables Are Stored in SPSS 189
An Overview of SPSS Date Formats 190
Reading Dates With Two-Digit Years
in the Correct Century 192
Creating Date Variables With Syntax 193
Creating Date Variables From String Variables 193
Extracting Part of a Date Variable 195
Doing Arithmetic With Date Variables 196
Creating a Variable Holding Today's Date 198
Designating Missing Values for Date Variables 199
Part VI: Other Topics
25. Automating Tasks Within Your Program 203
Vectors 203
The DO IF Command Structure 205
The DO REPEAT Command Structure 206
The LOOP Command Structure 208
26. A Brief Introduction to the SPSS Macro Language 213
The Parts of a Macro 214
Macros Without Arguments 215
Macros With Arguments 215
Specifying Arguments by Position 217
Macros Using a Flexible Number of Variables 217
Controlling the Macro Language Environment 220
Sources of Further Information About SPSS Macros 221
27. Resources for Learning More About SPSS Syntax 223
Books 223
Web Pages 224
Mailing Lists 225
References 227
Index 229
About the Author 233 |
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| spelling | Boslaugh, Sarah Verfasser aut An intermediate guide to SPSS programming using syntax for data management Sarah Boslaugh Thousand Oaks, Calif. [u.a.] Sage 2005 XI, 233 S. 23 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (p. 227) and index SPSS for Windows SPSS pour Windows (Logiciel) Sciences sociales - Méthodes statistiques - Logiciels Sozialwissenschaften Social sciences Statistical methods Computer programs http://www.loc.gov/catdir/toc/ecip0419/2004014097.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0657/2004014097-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015589020&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Boslaugh, Sarah An intermediate guide to SPSS programming using syntax for data management SPSS for Windows SPSS pour Windows (Logiciel) Sciences sociales - Méthodes statistiques - Logiciels Sozialwissenschaften Social sciences Statistical methods Computer programs |
| title | An intermediate guide to SPSS programming using syntax for data management |
| title_auth | An intermediate guide to SPSS programming using syntax for data management |
| title_exact_search | An intermediate guide to SPSS programming using syntax for data management |
| title_exact_search_txtP | An intermediate guide to SPSS programming using syntax for data management |
| title_full | An intermediate guide to SPSS programming using syntax for data management Sarah Boslaugh |
| title_fullStr | An intermediate guide to SPSS programming using syntax for data management Sarah Boslaugh |
| title_full_unstemmed | An intermediate guide to SPSS programming using syntax for data management Sarah Boslaugh |
| title_short | An intermediate guide to SPSS programming |
| title_sort | an intermediate guide to spss programming using syntax for data management |
| title_sub | using syntax for data management |
| topic | SPSS for Windows SPSS pour Windows (Logiciel) Sciences sociales - Méthodes statistiques - Logiciels Sozialwissenschaften Social sciences Statistical methods Computer programs |
| topic_facet | SPSS for Windows SPSS pour Windows (Logiciel) Sciences sociales - Méthodes statistiques - Logiciels Sozialwissenschaften Social sciences Statistical methods Computer programs |
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