SPSS for windows made simple:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hove [u.a.]
Psychology Press
1999
|
| Edition: | 3. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | VII, 386 S. Ill. |
| ISBN: | 0863776116 |
Staff View
MARC
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| 245 | 1 | 0 | |a SPSS for windows made simple |c Paul R. Kinnear ; Colin D. Gray |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Hove [u.a.] |b Psychology Press |c 1999 | |
| 300 | |a VII, 386 S. |b Ill. | ||
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| 650 | 4 | |a Social sciences - Statistical methods - Computer programs | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Social Sciences | |
| 650 | 4 | |a Social sciences |x Statistical methods |x Data processing | |
| 650 | 4 | |a Statistics | |
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Record in the Search Index
| _version_ | 1804127085114949632 |
|---|---|
| adam_text | Contents
CONTENTS
PREFACE viii
CHAPTER 1 THE PERSONAL COMPUTER /
1.1 INTRODUCTION 2
1.1.1 To The Reader 2
1.1.2 Computers in general 2
1.1.3 Memory 3
1.1.4 Hardware and software: Applications 4
1.1.5 Operating systems and interfaces 4
1.1.6 Files and folders 5
1.1.7 The naming of files and folders 5
1.2 THE PC KEYBOARD 6
1.2.1 Arrangement of the keys on a PC keyboard 6
1.2.2 A glossary of keys for future reference 7
1.3 GETTING STARTED 9
1.3.1 Beginning a session on a stand alone computer 9
1.3.2 Using a machine in a network: Logging in and logging out 10
CHAPTER 2 WINDOW OPERATIONS FOR SPSS 11
2.1 WORKING WITH WINDOWS 12
2.1.1 The Windows 95 operating system 12
2.1.2 The screen pointer: Handling the mouse 13
2.1.3 Keeping more than one application open 75
2.2 PROPERTIES OF WINDOWS 75
2.3 FINDING PROGRAMS AND FILES 18
2.4 FLOPPY DISKS 27
2.5 FILE AND FOLDER OPERATIONS 22
2.6 OPENING AND CLOSING SPSS 24
2.6.1 Accessing the Data Editor window 24
2.6.2 Entering and saving data 26
2.6.3 Closing SPSS and Windows 28
2.6.4 Resuming work on a saved data set 28
Exercise 1 29
Contents
CHAPTER 3 DATA HANDLING IN SPSS 32
3.1 INTRODUCTION 33
3.2 SOME RESEARCH TERMS 33
3.3 ENTERING AND EDITING DATA 38
3.3.1 Data from a between subjects experiment 38
3.3.2 Obtaining the Data Editor window 40
3.3.3 How many decimal places? 41
3.3.4 Variable names and value labels 42
3.3.5 Using the keyboard to enter data 47
3.3.6 Entering the data into the Data Editor window 47
3.3.7 Editing data 48
3.3.8 Data from a within subjects experiment 50
3.3.9 Entering string variables 52
3.3.10 Missing values 54
3.4 SAVING AND RETRIEVING SPSS FILES 55
3.4.1 Saving a file 55
3.4.2 Reading in SPSS files 57
3.4.3 Importing and exporting data 58
3.5 LISTING DATA 60
3.5.1 Listing cases 60
3.5.2 Displaying data file information 63
3.6 PRINTING IN SPSS 63
3.7 SOME SPECIAL OPERATIONS 65
3.7.1 Case selection 66
3.7.2 The weighting of cases by their frequencies of occurrence 65
3.7.3 Splitting files 70
Exercises 2 3 71
CHAPTER 4 LISTING AND EXPLORING DATA 78
4.1 INTRODUCTION 79
4.1.1 Exploratory data analysis (EDA) 79
4.1.2 The influence of outliers and asymmetry of distributions 81
4.1.3 Formal tests, statistical models and their assumptions 81
4.2 FINDING MENUS 81
4.3 DESCRIBING DATA 83
4.3.1 Describing categorial data 84
4.3.2 Describing interval data 88
Contents
4.3.3 Other graphical procedures 99
4.4 MANIPULATION OF THE DATA SET 114
4.4.1 Reducing and transforming data 114
4.4.2 The COMPUTE procedure 114
4A.3 The RECODE procedure 117
Exercises 4 8 120
CHAPTER 5 CHOOSING A STATISTICAL TEST 133
5.1 INTRODUCTION 134
5.2 THE RESEARCH QUESTION 134
5.2.1 The nature of the data 735
5.2.2 The plan or design of the research 136
5.3 TWO OR MORE SAMPLES 137
5.3.1 Choosing tests for comparing averages between (and among) samples of
interval data 137
5.3.2 Interval data 139
5.3.3 Ordinal data 140
5.3.4 Nominal data 140
5.4 ONE SAMPLE TESTS 142
5.5 THE ANALYSIS OF DATA FROM FACTORIAL EXPERIMENTS 144
5.6 MEASURING STATISTICAL ASSOCIATION BETWEEN TWO VARIABLES 144
5.7 REGRESSION 147
5.8 MULTIVARIATE STATISTICS 147
5.9 DATA ANALYSIS WITH SPSS 149
5.10 GETTING HELP 151
CHAPTER 6 COMPARING THE AVERAGES OF TWO SAMPLES 752
6.1 INTRODUCTION 153
6.2 PARAMETRIC METHODS: THE t TESTS 755
6.2.1 Assumptions underlying the use of the t test 755
6.2.2 Paired and independent samples 155
6.2.3 The paired samples t test 757
6.2.4 The independent samples t test 760
6.3 NONPARAMETRIC METHODS 163
6.3.1 Related samples: Wilcoxon, Sign and McNemar tests 164
6.3.2 Independent samples: Mann Whitney test 765
Exercises 9 11 76S
Contents
CHAPTER 7 THE ONE FACTOR BETWEEN SUBJECTS EXPERIMENT 177
7.1 INTRODUCTION 178
7.2 THE ONE WAY ANOVA 180
7.2.1 The mnemonics experiment revisited 180
7.2.2 Procedure for the one way ANOVA 180
7.2.3 Output listing for the one way ANOVA 183
7.3 NONPARAMETRIC TESTS 187
7.3.1 The Kruskal Wallis test 187
7.3.2 The chi square test 188
Exercise 12 189
CHAPTER 8 FACTORIAL EXPERIMENTS ( BETWEEN SUBJECTS) 193
8.1 INTRODUCTION 194
8.2 FACTORIAL ANOVA 197
8.2.1 Preparing the data for the factorial ANOVA 198
8.2.2 Exploring the data: Obtaining cell means and standard deviations 199
8.2.3 Choosing a factorial ANOVA 200
8.2.4 Output listing for a factorial ANOVA 202
8.3 EXPERIMENTS WITH MORE THAN TWO TREATMENT FACTORS 270
Exercise 13 213
CHAPTER 9 WITHIN SUBJECTS EXPERIMENTS 216
9.1 INTRODUCTION 217
9.2 ADVANTAGES AND DISADVANTAGES OF WITHIN SUBJECTS
EXPERIMENTS 218
9.3 WITHIN SUBJECTS ANOVA WITH SPSS 219
9.4 A ONE FACTOR WITHIN SUBJECTS ANOVA 220
9.4.1 Some experimental results 220
9.4.2 Entering the data 221
9A3 Exploring the data boxplots for within subjects factors 221
9.4.4 Running the within subjects ANOVA 223
9.4.5 Output listing for a one factor within subjects ANOVA 225
9.4.6 Unplanned multiple comparisons: Bonferroni method 228
9.5 NONPARAMETRIC TESTS FOR A ONE FACTOR WITHIN SUBJECTS
EXPERIMENT 229
9.5.1 The Friedman test for ordinal data 229
9.5.2 Cochran s Q test for nominal data 231
Contents
9.6 THE TWO FACTOR WITHIN SUBJECTS ANOVA 232
9.6.1 Results of a two factor within subjects experiment 232
9.6.2 Preparing the data set 234
9.6.3 Running the two factor within subjects analysis 234
9.6A Output listing for a two factor within subjects ANOVA 236
9.6.5 Unplanned comparisons following a factorial within subjects experiment 239
Exercises 14 15 240
CHAPTER 10 EXPERIMENTS OF MIXED DESIGN 244
10.1 INTRODUCTION 245
10.2 THE TWO FACTOR MIXED FACTORIAL ANOVA 246
10.2.1 Results of a mixed A x (B) experiment 246
10.2.2 Preparing the SPSS data set 247
10.2.3 Exploring the results: Boxplots and tables of means and standard
deviations 248
10.2.4 Procedure for a mixed A x (B) ANOVA 251
10.2.5 Output listing for the two factor mixed ANOVA 253
10.3 THE THREE FACTOR MIXED ANOVA 256
10.3.1 The mixed A x (B x C) experiment 256
10.3.2 The mixed A x B x(C) experiment 258
10.4 FURTHER ANALYSIS: SIMPLE EFFECTS AND MULTIPLE COMPARISONS 259
Exercises 16 17 261
CHAPTER 11 MEASURING STATISTICAL ASSOCIATION 266
11.1 INTRODUCTION 267
11.2 CORRELATIONAL ANALYSIS WITH SPSS 269
11.2.1 Procedure for the Pearson correlation 271
11.2.2 Output listing for the Pearson correlation 272
11.2.3 Point biserial correlation 273
11.3 OTHER MEASURES OF ASSOCIATION 2 74
11.3.1 Measures of association strength for ordinal data 274
11.3.2 Measures of association strength for categorial data 277
Exercises 18 19 255
Contents
CHAPTER 12 REGRESSION 291
12.1 INTRODUCTION 292
12.1.1 Simple, two variable regression 292
12.1.2 Multiple regression 292
12.1.3 Residuals 293
12.1.4 The multiple correlation coefficient 293
12.2 SIMPLE REGRESSION 293
12.2.1 Procedure for simple regression 294
12.2.2 Output listing for simple regression 297
12.3 MULTIPLE REGRESSION 302
12.3.1 Procedure for simultaneous multiple regression 505
12.3.2 Procedure for stepwise multiple regression 307
12.3.3 The need for a substantive model of causation 312
12.4 SCATTERPLOTS AND REGRESSION LINES 313
Exercises 20 21 317
CHAPTER 13 LOGLINEAR ANALYSIS 321
13.1 INTRODUCTION 322
13.1.1 Comparison with ANOVA 322
13.1.2 Why loglinear analysis? 323
13.1.3 Constructing a loglinear model 324
13.1.4 Small expected frequencies 324
13.2 AN EXAMPLE OF A LOGLINEAR ANALYSIS 325
13.2.1 A three way contingency table 325
13.2.2 Procedure for a loglinear analysis 327
13.2.3 Output listing for a loglinear analysis 330
13.2.4 Comparison with the total independence model 335
Exercise 22 337
CHAPTER 14 DISCRIMINANT ANALYSIS 340
14.1 INTRODUCTION 341
14.1.1 Discriminant analysis 341
14.1.2 Types of discriminant analysis 343
14.1.3 Stepwise discriminant analysis 343
14.2 DISCRIMINANT ANALYSIS WITH SPSS 344
14.2.1 Procedure for discriminant analysis 344
14.2.2 Output listing for discriminant analysis 347
Contents
14.2.3 Predicting group membership 353
Exercise 23 354
CHAPTER 15 FACTOR ANALYSIS 357
15.1 INTRODUCTION 35S
15.1.1 The nature of factors 358
15.1.2 Stages in a factor analysis 359
15.1.3 The extraction of factors 360
15.1.4 The rationale of rotation 360
15.1.5 Confirmatory factor analysis and structural equation modelling 360
15.2 A FACTOR ANALYSIS OF DATA ON SIX VARIABLES 361
15.2.1 Procedure for factor analysis with raw scores 362
15.2.2 Output listing for factor analysis 365
15.3 USING SPSS COMMAND LANGUAGE 371
15.3.1 The power of SPSS syntax: an example 372
15.3.2 Using a correlation matrix as input for factor analysis 374
15.3.3 Progressing with SPSS syntax 377
Exercise 24 378
REFERENCES 380
INDEX 382
|
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| indexdate | 2024-07-09T18:27:44Z |
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| language | English |
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| physical | VII, 386 S. Ill. |
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| publisher | Psychology Press |
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| spelling | Kinnear, Paul R. Verfasser aut SPSS for windows made simple Paul R. Kinnear ; Colin D. Gray 3. ed. Hove [u.a.] Psychology Press 1999 VII, 386 S. Ill. txt rdacontent n rdamedia nc rdacarrier SPSS for Windows SPSS gtt Social sciences - Statistical methods - Computer programs Datenverarbeitung Sozialwissenschaften Statistik Social Sciences Social sciences Statistical methods Data processing Statistics SPSS für WINDOWS (DE-588)4334316-8 gnd rswk-swf SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd rswk-swf SPSS für WINDOWS (DE-588)4334316-8 s DE-604 SPSS 10.0 für WINDOWS (DE-588)4594082-4 s 1\p DE-604 Gray, Colin D. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008446422&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kinnear, Paul R. Gray, Colin D. SPSS for windows made simple SPSS for Windows SPSS gtt Social sciences - Statistical methods - Computer programs Datenverarbeitung Sozialwissenschaften Statistik Social Sciences Social sciences Statistical methods Data processing Statistics SPSS für WINDOWS (DE-588)4334316-8 gnd SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd |
| subject_GND | (DE-588)4334316-8 (DE-588)4594082-4 |
| title | SPSS for windows made simple |
| title_auth | SPSS for windows made simple |
| title_exact_search | SPSS for windows made simple |
| title_full | SPSS for windows made simple Paul R. Kinnear ; Colin D. Gray |
| title_fullStr | SPSS for windows made simple Paul R. Kinnear ; Colin D. Gray |
| title_full_unstemmed | SPSS for windows made simple Paul R. Kinnear ; Colin D. Gray |
| title_short | SPSS for windows made simple |
| title_sort | spss for windows made simple |
| topic | SPSS for Windows SPSS gtt Social sciences - Statistical methods - Computer programs Datenverarbeitung Sozialwissenschaften Statistik Social Sciences Social sciences Statistical methods Data processing Statistics SPSS für WINDOWS (DE-588)4334316-8 gnd SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd |
| topic_facet | SPSS for Windows SPSS Social sciences - Statistical methods - Computer programs Datenverarbeitung Sozialwissenschaften Statistik Social Sciences Social sciences Statistical methods Data processing Statistics SPSS für WINDOWS SPSS 10.0 für WINDOWS |
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