SPSS for windows made simple:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hove [u.a.]
Psychology Press
1997
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XI, 386 S. Ill., graph. Darst. |
| ISBN: | 0863778275 |
Staff View
MARC
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| 100 | 1 | |a Kinnear, Paul R. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a SPSS for windows made simple |c Paul R. Kinnear ; Colin D. Gray |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Hove [u.a.] |b Psychology Press |c 1997 | |
| 300 | |a XI, 386 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 630 | 0 | 4 | |a SPSS for Windows |
| 650 | 7 | |a SPSS |2 gtt | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Social sciences |x Statistical methods |x Data processing | |
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Record in the Search Index
| _version_ | 1804126086638862336 |
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| adam_text | Contents
CONTENTS
PREFACE x
CHAPTER 1 THE PERSONAL COMPUTER 1
1.1 INTRODUCTION 2
1.1.1 To the Reader 2
1.1.2 Computers in general 2
113 Programs, programming and operating systems 3
1.1.4 Files and directories 4
1.1.5 The naming of files and directories 5
1.1.6 The organisation of files and directories 5
1.2 THE PC COMPUTER KEYBOARD 6
12.1 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 Booting up the machine 9
1.3.2 Logging in and logging out 10
SUMMARY 77
CHAPTER 2 WINDOWS OPERATIONS FOR SPSS 12
2.1 INTRODUCTION TO WINDOWS OPERATIONS 13
2.1.1 The Windows operating system 13
2.1.2 Controlling the screen pointer in Windows 14
2.1.3 Keeping more than one application open 14
2.2 THE PROGRAM MANAGER WINDOW 15
2.2.1 Opening and closing a window 16
2.2.2 Controlling the size and position of a window 16
2.2.3 Scrolling 77
2.2.4 The menu bar 7 7
2.3 THE FILE MANAGER WINDOW 18
2.3.1 Viewing the organisation of directories and files 19
2.4 FLOPPY DISKS 20
2.4.1 Inserting a floppy disk into the computer 20
2.4.2 Formatting floppy disks 27
2.4.3 Copying files to and from a floppy disk 22
2.4.4 Deleting a file 23
2.4.5 Copying the contents of an entire floppy disk 24
SUMMARY 25
CHAPTER 3 DATA HANDLING IN SPSS 26
3.1 INTRODUCTION 27
i
Contents
3.2 SOME RESEARCH TERMS 27
3.2.1 Variables 27
3.2.2 Hypothesis 27
3.2.3 Experimental and correlational research 27
3.2.4 The principle of control 28
3.2.5 Factors 28
3.2.6 Between subjects and within subjects factors 29
3.2.7 Factorial designs: Between subjects, within subjects and mixed designs
31
3.3 INPUTTING DATA: AN EXAMPLE 32
3.3.1 A between subjects experiment 33
3.3.2 Laying out the data in a form suitable for entry into SPSS 33
3.4 ENTERING DATA 36
3.4.1 Obtaining the Data Editor window 3 7
3.4.2 How many decimal places? 37
3.4.3 Variable names and value labels 39
3.4.3.1 A notation convention 39
3.4.3.2 Rules for assigning variable names 39
3.4.3.3 Assigning the chosen variable names 40
3.4.3.4 Assigning value labels 41
3.4.4 Using the keyboard to enter data 42
3.4.5 Entering the data of Table 6 43
3.5 EDITING DATA 44
3.5.1 Changing individual values 44
3.5.2 More complex editing: Blocking, copying and pasting 45
3.5.3 Deletion of values 46
3.5.4 Inserting additional variables and cases, and changing the order of
variables 46
3.6 INPUTTING DATA FROM A WITHIN SUBJECTS EXPERIMENT 47
3.7 ENTERING STRING VARIABLES 49
3.8 MISSING VALUES 49
3.9 SAVING AND RETRIEVING THE DATA SET 51
3.9.1 Saving the data 51
3.9.2 Reading in data 52
3.9.3 Importing and exporting data 53
3.10 LISTING DATA 54
3.10.1 Listing cases 54
3.10.2 Displaying data file information 56
3.11 PRINTING IN SPSS 58
3.11.1 Printing out the entire data set 58
3.11.2 Printing out a selection from the data set 59
3.11.3 Printing other items 59
3.12 SOME SPECIAL OPERATIONS 60
3.12.1 Case selection 60
3.12.2 The weighting of cases by their frequencies of occurrence 62
3.12.3 Splitting files 64
SUMMARY 65
ii
Contents
CHAPTER 4 LISTING AND EXPLORING DATA 68
4.1 INTRODUCTION 69
4.1.1 Exploratory data analysis (EDA) 69
4.1.2 The influence of outliers and asymmetrical distributions 70
4.1.3 Formal tests, statistical models and their assumptions 71
4.2 FINDING MENUS 71
4.3 DESCRIBING DATA 73
4.3.1 Describing categorial data 73
4.3.1.1 Frequencies 74
4.3.1.2 Crosstabs 77
4.3.2 Describing interval data 79
4.3.2.1 Frequencies 80
4.3.2.2 Descriptives 82
4.3.2.3 Means 83
4.3.2.4 Explore 55
4.3.3 Other graphical procedures 89
4.3.3.1 Requesting graphs and charts 89
4.3.3.2 Seeing the graph or chart on screen 90
4.3.3.3 Editing a graph or chart 90
4.3.3.4 Clustered bar charts 91
4.3.3.5 Bar chart with error bars 93
4.3.3.6 Pie chart 95
4.3.3.7 Scatterplot 97
4.4 MANIPULATION OF THE DATA SET 98
4.4.1 Reducing and transforming data 98
4A.2 The COMPUTE procedure 99
4.4.3 The RECODE procedure 101
SUMMARY 104
CHAPTER 5 CHOOSING A STATISTICAL TEST 105
5.1 INTRODUCTION 106
5.1.1 The need for formal statistical tests 106
5.1.2 Considerations in choosing a formal statistical test 106
5.2 THE RESEARCH QUESTION 106
5.2.1 The nature of the data 707
5.2.2 The plan or design of the research 108
5.2.2.1 The number of samples 108
5.2.2.2 Independent versus related samples 108
5.2.2.3 Between subjects and within subjects factors 109
5.3 TWO OR MORE SAMPLES 109
5.3.1 Choosing tests for comparing averages between (and among) samples
of interval data 110
5.3.2 Reducing interval data: Parametric and nonparametric tests 111
5.3.2.1 Parametric and nonparametric (distribution free) statistics HI
5.3.2.2 Comparing levels of samples of ordinal data 112
5.3.3 Using nonparametric tests with inherently ordinal data 112
iii
Contents
5.3.4 Comparing levels of samples of dichotomous nominal data 113
5.3.4.1 Independent samples of dichotomous nominal data 113
5.3.4.2 Three or more sets of correlated dichotomous nominal data: Cochran s
Qtest 114
5.3.4.3 Two correlated samples of dichotomous nominal data: McNemar test
114
5.4 ONE SAMPLE TESTS 115
5.4.1 One sample tests with nominal data 115
5.4.2 Using sequential information: Tests of randomness 116
5.4.3 Testing for goodness of fit with ordinal and interval data:
Kolmogorov Smirnov test 116
5.4.4 Has the sample been drawn from a population with a specified mean
value? 116
5.5 THE ANALYSIS OF DATA FROM FACTORIAL EXPERIMENTS 117
5.6 MEASURING STATISTICAL ASSOCIATION BETWEEN TWO VARIABLES 118
5.6.1 Measuring association with interval data: Pearson correlation 118
5.6.2 Measuring association with ordinal data: Spearman rank correlation
and Kendall s tau statistics 119
5.6.3 Measuring association in nominal data: Contingency tables 119
5.6.4 The point biserial correlation 120
5.7 REGRESSION 120
5.6.1 Simple regression 120
5.6.2 Estimating one variable from knowledge of two or more other
variables: Multiple regression 121
5.8 MULTTVARIATE STATISTICS 121
5.8.1 Multivariate analysis of variance (MANO VA) 121
5.8.2 Discriminant analysis 122
5.8.3 Factor analysis 122
5.8.4 Complex contingency tables 122
5.9 DATA ANALYSIS WITH SPSS 123
5.9.1 Phase 1 Data Entry and Exploration 123
5.9.2 Phase 2 Statistical Analysis 123
5.10 GETTING HELP 725
5.10.1 Useful textbooks 125
5.10.2 Getting help in SPSS 125
SUMMARY 126
CHAPTER 6 COMPARING THE AVERAGES OF TWO SAMPLES 127
6.1 INTRODUCTION 128
6.2 PARAMETRIC METHODS: THE T TESTS 130
6.2.1 Assumptions underlying the use of the t test 130
6.2.2 Paired and independent samples 130
6.2.3 The paired samples t test 132
6.2.4 The independent samples t test 136
6.3 NONPARAMETRIC METHODS 138
6.3.1 Related samples: Wilcoxon, Sign and McNemar tests 139
6.3.2 Independent samples: Mann Whitney test 141
SUMMARY 143
Contents
CHAPTER 7 THE ONE FACTOR BETWEEN SUBJECTS EXPERIMENT
144
7.1 INTRODUCTION 145
7.2 THE ONE FACTOR BETWEEN SUBJECTS (ONE WAY) ANOVA 147
7.2.1 The mnemonics experiment revisited 147
7.2.2 Procedure for the one way ANOVA 148
7.2.3 Output listing for the one way ANOVA 149
7.2.3.1 The ANOVA summary table 149
7.2.3.2 Descriptive statistics for a one way ANOVA 150
7.2.3.3 Unplanned multiple comparisons with Tukey s HSD test 151
7.3 NONPARAMETRIC TESTS FOR ONE FACTOR BETWEEN SUBJECTS
EXPERIMENTS 155
7.3.1 The Kruskal Wallis test 755
7.3.2 The chi square test 157
SUMMARY 158
CHAPTER 8 FACTORIAL EXPERIMENTS BETWEEN SUBJECTS 159
8.1 INTRODUCTION 160
8.2 FACTORIAL ANOVA 163
8.2.1 Preparing the data for the factorial ANOVA 164
8.2.2 Exploring the data: Obtaining cell means and standard deviations 165
8.2.3 Choosing a factorial ANOVA 167
8.2.4 Output listing for a factorial ANOVA 169
8.2.4.1 The factorial ANOVA summary table 169
8.2.4.2 Exploring the interaction by graphing the cell means 171
8.2.4.3 Unplanned multiple pairwise comparisons with Tukey s HSD test / 74
8.2.4.4 Unplanned multiple comparisons following the ANOVA of complex
factorial experiments: Some cautions and caveats 177
8.3 EXPERIMENTS WITH MORE THAN TWO TREATMENT FACTORS 1 78
SUMMARY 779
CHAPTER 9 WITHIN SUBJECTS EXPERIMENTS 180
9.1 INTRODUCTION 181
9.2 ADVANTAGES AND DISADVANTAGES OF WITHIN SUBJECTS
EXPERIMENTS 182
9.3 WITHIN SUBJECTS ANOVA WITH SPSS 184
9.4 A ONE FACTOR WITHIN SUBJECTS ANOVA 185
9.4.1 Some experimental results 185
9.4.2 Entering the data 186
9 A3 Exploring the data boxplots for within subjects factors 186
9.4.4 Running the within subjects ANOVA 7*5
9.4.5 Output listing for a one factor within subjects ANOVA 790
9.4.6 Unplanned multiple comparisons: Bonferroni method 194
v
Contents
9.5 NONPARAMETRIC TESTS FOR A ONE FACTOR WITHIN SUBJECTS
EXPERIMENT 194
9.5.1 The Friedman test 195
9.5.2 Cochran s Q test 196
9.6 THE TWO FACTOR WITHIN SUBJECTS ANOVA 797
9.6.1 Results of a two factor within subjects experiment 197
9.6.2 Preparing the data set 199
9.6.3 Running the two factor within subjects analysis 199
9.6.4 Output listing for a two factor within subjects ANOVA 202
9.6A. 1 Tests for main effects 202
9.6.4.2 Test for an interaction 203
9.6.5 Unplanned comparisons following a factorial within subjects
experiment 205
SUMMARY 206
CHAPTER 10 EXPERIMENTS OF MIXED DESIGN 207
10.1 INTRODUCTION 208
10.1.1 Mixed (or split plot) factorial experiments 208
10.1.2 A notational scheme for mixed factorial experiments 208
10.2 THE TWO FACTOR MIXED FACTORIAL ANOVA 209
10.2.1 Mixed factorial ANOVA with SPSS 209
10.2.2 Results of a mixed A x (B) experiment 209
10.2.3 Preparing the SPSS data set 210
10.2.4 Exploring the results: Boxplots and tables of means and standard
deviations 211
10.2.4.1 Obtaining the cell means and the marginal means for the within
subjects factor 212
10.2.4.2 Obtaining the marginal means for the between subjects factor 212
10.2.4.3 The complete table of marginal and cell means and standard deviations
213
10.2.5 Procedure for a mixed A x (B) ANOVA 213
10.2.6 Output listing for the two factor mixed ANOVA 216
10.2.6.1 Between subjects effects 216
10.2.6.2 Tests for within subjects and interaction effects 217
10.2.6.3 Unplanned comparisons following a significant interaction 218
10.3 THE THREE FACTOR MIXED ANOVA 219
10.3.1 The mixed A x (B x C) experiment 219
10.3.2 The mixed A x B x(C) experiment 221
10.4 FURTHER ANALYSIS: SIMPLE EFFECTS AND MULTIPLE COMPARISONS 222
SUMMARY 223
CHAPTER 11 MEASURING STATISTICAL ASSOCIATION 224
11.1 INTRODUCTION 225
11.1.1 Statistical association in interval data 225
11.1.2 Depicting an association: Scatterplot 225
11.1.3 Linear association 226
vi
Contents
11.1 4 Measuring the strength of a linear association: Pearson correlation 226
11.1.5 A word of warning 227
11.2 CORRELATIONAL ANALYSIS WITH SPSS 228
11.2.1 Preparing the SPSS data set 229
11.2.2 Obtaining a scatterplot 229
112.3 Procedure for the Pearson correlation 230
11.2.4 Output listing for the Pearson correlation 231
11.2.5 Obtaining a correlation matrix 233
11.2.6 Point biserial correlation 233
11.3 OTHER MEASURES OF ASSOCIATION 233
11.3.1 Measures of association strength for ordinal data 237
11.3.1.1 The Spearman rank correlation 234
11.3.1.2 Kendall s tau statistics 235
11.3.1.3 Obtaining the Spearman and Kendall rank correlations 235
11.3.2 Measures of association strength for categorial data 237
11.3.2.1 A 2 x 2 contingency table 238
11.3.2.2 Procedure for crosstabulation and associated statistics (chi square, phi
and Cramer s V) 239
11.3.2.3 Output listing for crosstabulation and associated statistics (chi square,
phi and Cramer s V) 242
SUMMARY 245
CHAPTER 12 REGRESSION 247
12.1 INTRODUCTION 248
12.1.1 Simple, two variable regression 248
12.1.2 Multiple regression 248
12.1.3 Residuals 249
12.1.4 The multiple correlation coefficient 249
12.2 SIMPLE REGRESSION 249
12.2.1 Procedure for simple regression 250
12.2.1.1 Some data 250
12.2.1.2 Preparing the SPSS data set 250
12.2.1.3 Accessing the simple regression procedure 251
12.2.2 Output listing for simple regression 253
12.2.2.1 Indication of residual outliers 253
12.2.2.2 Elimination of outliers 254
12.2.2.3 Output listing for simple regression after eliminating the outlier 254
12.3 MULTIPLE REGRESSION 260
12.3.1 Some more data 260
12.3.2 Constructing the SPSS data set 263
12.3.3 Procedure for simultaneous multiple regression 263
12.3.4 Output listing for simultaneous multiple regression 263
12.3.5 Procedure for stepwise multiple regression 266
12.3.6 Adding another variable 268
12.3.7 The need for a substantive model of causation 272
12.4 SCATTERPLOTS AND REGRESSION LINES 273
SUMMARY 275
vii
Contents
CHAPTER 13 LOGLINEAR ANALYSIS 276
13.1 INTRODUCTION 277
13.1.1 Comparison with ANOVA 277
13.1.2 Why loglinear analysis? 278
13.1.3 Constructing a loglinear model 2 78
13.1.4 Small expected frequencies 278
13.2 AN EXAMPLE OF A LOGLINEAR ANALYSIS 280
13.2.1 A three way contingency table 280
13.2.2 Procedure for a loglinear analysis 282
13.2.3 Output listing for a loglinear analysis 285
13.2.4 Comparison with the total independence model 290
SUMMARY 292
CHAPTER 14 DISCRIMINANT ANALYSIS 293
14.1 INTRODUCTION 294
14.1.1 Discriminant analysis 294
14.1.2 Types of discriminant analysis 296
14.1.3 Step wise discriminant analysis 296
14.2 DISCRIMINANT ANALYSIS WITH SPSS 297
14.2.1 A problem in vocational guidance 297
14.2.2 Procedure for discriminant analysis 297
14.2.2.1 Preparing the SPSS data set 297
14.2.2.2 Finding and running discriminant analysis 298
14.2.3 Output listing for discriminant analysis 299
14.2.3.1 Information about the data and the number of cases in each category
of the grouping variable 299
14.2.3.2 Statistics 300
14.2.3.3 Selection of variables 301
14.2.3.4 Entering and removing variables step by step 301
14.2.3.5 The summary table 303
14.2.3.6 Statistics of the discriminant functions 304
14.2.3.7 Standardised coefficients and within groups correlations with
discriminants 304
14.2.3.8 Success of predictions of group membership 305
14.2.4 Predicting group membership 306
SUMMARY 307
CHAPTER 15 FACTOR ANALYSIS 308
15.1 INTRODUCTION 309
15.1.1 The nature of factors 309
15.1.2 Stages in a factor analysis 310
15.1.3 The extraction of factors 311
15.1.4 The rationale of rotation 311
15.2 A FACTOR ANALYSIS OF DATA ON SEVEN VARIABLES 311
15.2.1 Procedure for factor analysis with raw scores 312
viii
Contents
15.2.1.1 Preparing the SPSS data set 312
15.2.1.2 Running the factor analysis 312
15.2.2 Output listing for factor analysis 315
15.2.2.1 The correlation matrix 316
15.2.2.2 Measure of sampling adequacy and Bartlett s test of sphericity 316
15.2.2.3 A table of initial statistics for principal components analysis 317
15.2.2.4 The unrotated factor matrix 317
15.2.2.5 A table of final statistics 318
15.2.2.6 Reproduced correlation matrix and residuals 319
15.2.2.7 The rotated factor matrix 320
15.2.2.8 Factor transformation matrix 320
15.2.2.9 Scree plot 320
15.2.3 Using a correlation matrix as input for factor analysis 321
15.2.3.1 Preparation of the correlation matrix 321
15.2.3.2 Preparation of the factor analysis command 324
SUMMARY 325
EXERCISES 326
REFERENCES 382
INDEX 383
ix
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| any_adam_object | 1 |
| author | Kinnear, Paul R. Gray, Colin D. |
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| ctrlnum | (OCoLC)951175236 (DE-599)BVBBV011560662 |
| dewey-full | 519.50285369 300.2855369 |
| dewey-hundreds | 500 - Natural sciences and mathematics 300 - Social sciences |
| dewey-ones | 519 - Probabilities and applied mathematics 300 - Social sciences |
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| dewey-search | 519.50285369 300.2855369 |
| dewey-sort | 3519.50285369 |
| dewey-tens | 510 - Mathematics 300 - Social sciences |
| discipline | Informatik Soziologie Mathematik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV011560662 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:11:52Z |
| institution | BVB |
| isbn | 0863778275 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007784542 |
| oclc_num | 951175236 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM |
| owner_facet | DE-19 DE-BY-UBM |
| physical | XI, 386 S. Ill., graph. Darst. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Psychology Press |
| record_format | marc |
| spelling | Kinnear, Paul R. Verfasser aut SPSS for windows made simple Paul R. Kinnear ; Colin D. Gray 2. ed. Hove [u.a.] Psychology Press 1997 XI, 386 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier SPSS for Windows SPSS gtt Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd rswk-swf SPSS für WINDOWS (DE-588)4334316-8 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=007784542&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 Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd SPSS für WINDOWS (DE-588)4334316-8 gnd |
| subject_GND | (DE-588)4594082-4 (DE-588)4334316-8 |
| 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 Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing SPSS 10.0 für WINDOWS (DE-588)4594082-4 gnd SPSS für WINDOWS (DE-588)4334316-8 gnd |
| topic_facet | SPSS for Windows SPSS Datenverarbeitung Sozialwissenschaften Social sciences Statistical methods Data processing SPSS 10.0 für WINDOWS SPSS für WINDOWS |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007784542&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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