SPSS statistics 17.0 guide to data analysis:
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Upper Saddle River, NJ
Prentice Hall
2008
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVIII, 653 S. Ill., graph. Darst. CD-ROM (12 cm) |
| ISBN: | 9780321621436 0321621433 |
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MARC
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| 100 | 1 | |a Norušis, Marija J. |d 1948- |e Verfasser |0 (DE-588)112371965 |4 aut | |
| 245 | 1 | 0 | |a SPSS statistics 17.0 guide to data analysis |c Marija J. Norušis |
| 264 | 1 | |a Upper Saddle River, NJ |b Prentice Hall |c 2008 | |
| 300 | |a XVIII, 653 S. |b Ill., graph. Darst. |e CD-ROM (12 cm) | ||
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| adam_text | Titel: SPSS statistics 17.0 guide to data analysis
Autor: Norušis, Marija J.
Jahr: 2008
Contents
Part 1 Getting Started with SPSS Statistics
1 Introduction I
About This Book 2
Getting Started with SPSS 2
Describing Data 2
Testing Hypotheses 3
Examining Relationships 3
Let s Get Started 4
2 An Introductory Tour of SPSS 5
Starting SPSS 5
Help Is Always at Hand 6
Copying the Data Files 7
Opening a Data File 8
Statistical Procedures 11
The Viewer Window 14
Viewer Objects 17
The Data Editor Window 21
Entering Non-Numeric Data 23
Clearing the Data Editor without Saving Changes 24
The SPSS Online Tutorial 25
The SPSS Toolbar 26
The SPSS Help System 27
Contextual Help 28
What s Next? 29
V
3 Sources of Data 3 I
Know Your Data 31
Survey Data 31
Asking the Question 32
Measuring Time 33
Selecting Participants 34
Selecting a Sample 35
General Social Survey 37
Random-Digit Dialing 38
Internet Surveys 39
Designing Experiments 39
Random Assignment 40
Minimizing Bias 42
Summary 43
What s Next? 43
Exercises 44
Part 2 Describing Data
4 Counting Responses 47
Describing Variables 48
A Simple Frequency Table 49
Sorting Frequency Tables 53
Pie Charts 54
Bar Charts 56
Summarizing Internet Time 57
Histograms 59
Mode and Median 61
Percentiles 63
Summary 64
What s Next? 64
vi
How to Obtain a Frequency Table 65
Format: Appearance of the Frequency Table 66
Statistics: Univariate Statistics 66
Charts: Bar Charts, Pie Charts, and Histograms 67
Exercises 68
5 Computing Descriptive Statistics 79
Summarizing Data 80
Scales of Measurement 80
Mode, Median, and Arithmetic Average 82
Comparing Mean and Median 83
Summarizing Time Spent Online 86
Measures of Variability 89
Range 90
Variance and Standard Deviation 90
The Coefficient of Variation 91
Standard Scores 92
Summary 94
What s Next? 94
How to Obtain Univariate Descriptive Statistics 95
Options: Choosing Statistics and Sorting Variables 96
Exercises 97
6 Comparing Groups 103
Age, Education, and Internet Use 104
Plotting Means 105
Layers: Defining Subgroups by More than One Variable 105
Summary 108
What s Next? 109
How to Obtain Subgroup Means 109
Layers: Defining Subgroups by More than One Variable 110
Options: Additional Statistics and Display of Labels 111
Exercises 112
vii
7 Looking at Distributions 117
Marathon Completion Times 118
Age and Gender 120
Marathon Times for Mature Runners 128
Summary 131
What s Next? 131
How to Explore Distributions 131
Explore Statistics 133
Graphical Displays 133
Options 135
Exercises 136
8 Counting Responses for Combinations of Variables 141
Library Use and Education 142
Row and Column Percentages 144
Bar Charts 148
Adding Control Variables 150
Library Use and the Internet 152
Summary 156
What s Next? 156
How to Obtain a Crosstabulation 157
Layers: Three or More Variables at Once 158
Cells: Percentages, Expected Counts, and Residuals 160
Bivariate Statistics 161
Format: Adjusting the Table Format 161
Exercises 162
9 Plotting Data 171
Examining Population Indicators 172
Simple Scatterplots 172
Scatterplot Matrices 176
Overlay Plots 178
Three-Dimensional Plots 181
Identifying Unusual Points 184
Rotating 3-D Scatterplots 185
viii
Summary 186
What s Next? 186
How to Obtain a Scatterplot 186
Obtaining a Simple Scatterplot 187
Obtaining an Overlay Scatterplot 188
Obtaining a Scatterplot Matrix 190
Obtaining a 3-D Scatterplot 191
Editing a Scatterplot 192
Exercises 198
I aft 3 Testing Hypotheses
10 Evaluating Results from Samples 203
From Sample to Population 204
A Computer Model 204
The Effect of Sample Size 208
The Binomial Test 211
Summary 214
What s Next? 214
Exercises 215
11 The Normal Distribution 217
The Normal Distribution 217
Samples from a Normal Distribution 221
Means from a Normal Population 221
Are the Sample Results Unlikely? 223
Testing a Hypothesis 225
Means from Non-Normal Distributions 226
Means from a Uniform Distribution 226
Summary 228
What s Next? 228
Exercises 229
ix
12 Testing a Hypothesis about a Single Mean 237
Examining the Data 23 8
The T Distribution 240
Calculating the T Statistic 242
Confidence Intervals 243
Other Confidence Levels 246
Confidence Interval for a Difference 247
Confidence Intervals and Hypothesis Tests 247
Null Hypotheses and Alternative Hypotheses 248
Rejecting the Null Hypothesis 249
Summary 250
What s Next? 250
How to Obtain a One-Sample T Test 251
Options: Confidence Level and Missing Data 251
Exercises 252
13 Testing a Hypothesis about Two Related Means 257
Marathon Runners in Paired Designs 258
Looking at Differences 259
Is the Mean Difference Zero? 261
Two Approaches 261
The Paired-Samples T Test 263
Are You Positive? 264
Some Possible Problems 265
Examining Normality 265
Summary 267
What s Next? 268
How to Obtain a Paired-Samples T Test 268
Options: Confidence Level and Missing Data 269
Exercises 270
X
14 Testing a Hypothesis about Two Independent
Means 273
Examining Television Viewing 274
Distribution of Differences 277
Standard Error of the Mean Difference 278
Computing the T Statistic 279
Output from the Two-Independent-Samples T Test 279
Confidence Intervals for the Mean Difference 281
Testing the Equality of Variances 281
Effect of Outliers 283
Introducing Education 285
Can You Prove the Null Hypothesis? 290
Interpreting the Observed Significance Level 291
Power 292
Monitoring Death Rates 292
Does Significant Mean Important? 295
Summary 296
What s Next? 296
How to Obtain an Independent-Samples T Test 296
Define Groups: Specifying the Subgroups 297
Options: Confidence Level and Missing Data 298
Exercises 299
15 One-Way Analysis of Variance 305
Hours in a Work Week 306
Describing the Data 306
Confidence Intervals for the Group Means 307
Testing the Null Hypothesis 308
Assumptions Needed for Analysis of Variance 309
Analyzing the Variability 311
Comparing the Two Estimates of Variability 313
The Analysis-of-Variance Table 313
Multiple Comparison Procedures 317
Television Viewing, Education, and Internet Use 320
Summary 324
xi
What s Next? 324
How to Obtain a One-Way Analysis of Variance 324
Post Hoc Multiple Comparisons: Finding the Difference 326
Options: Statistics and Missing Data 326
Exercises 328
16 Two-Way Analysis of Variance 333
The Design 334
Examining the Data 336
Testing Hypotheses 337
Degree and Gender Interaction 341
Necessary Assumptions 342
Analysis-of-Variance Table 343
Testing the Degree-by-Gender Interaction 344
Testing the Main Effects 345
Removing the Interaction Effect 346
Where Are the Differences? 348
Multiple Comparison Results 348
Checking Assumptions 349
A Look at Television 351
Extensions 353
Summary 353
What s Next? 353
How to Obtain a GLM Univariate Analysis 354
GLM Univariate: Model 355
GLM Univariate: Plots 356
GLM Univariate: Post Hoc 357
GLM Univariate: Options 358
GLM Univariate: Save 359
Exercises 359
xii
17 Comparing Observed and Expected Counts 365
Freedom or Manners? 366
Observed and Expected Counts 367
The Chi-Square Statistic 369
A Larger Table 373
Does College Open Doors? 376
A One-Sample Chi-Square Test 377
Power Concerns 379
Summary 380
What s Next? 380
Exercises 381
18 Nonparametric Tests 385
Nonparametric Tests for Paired Data 386
Sign Test 389
WilcoxonTest 392
Who s Sending E-mail? 394
Mann-Whitney Test 396
Kruskal-Wallis Test 398
Friedman Test 400
Summary 402
How to Obtain Nonparametric Tests 403
Chi-Square Test 403
Binomial Test 404
Two-Independent-Samples Tests 405
Several-Independent-Samples Tests 407
Two-Related-Samples Tests 408
Several-Related-Samples Tests 410
Options: Descriptive Statistics and Missing Values 411
Exercises 412
xiii
Part 4 Examining Relationships
19 Measuring Association 415
Components of the Justice System 416
Proportional Reduction in Error 419
Measures of Association for Ordinal Variables 425
Concordant and Discordant Pairs 426
Measures Based on Concordant and Discordant Pairs 427
Evaluating the Components 430
Measuring Agreement 431
Correlation-Based Measures 433
Measures Based on the Chi-Square Statistic 434
Summary 438
What s Next? 438
Exercises 439
20 Linear Regression and Correlation 443
Life Expectancy and Birthrate 444
Choosing the Best Line 445
Calculating the Least-Squares Line 450
Calculating Predicted Values and Residuals 451
Determining How Well the Line Fits 452
Explaining Variability 456
Some Warnings 458
Summary 459
What s Next? 460
How to Obtain a Linear Regression 460
Statistics: Further Information on the Model 462
Residual Plots: Basic Residual Analysis 463
Linear Regression Save: Creating New Variables 465
Linear Regression Options 467
Exercises 469
xiv
21 Testing Regression Hypotheses 477
The Population Regression Line 477
Assumptions Needed for Testing Hypotheses 478
Testing Hypotheses 479
Testing that the Slope Is Zero 480
Confidence Intervals for the Slope and Intercept 482
Predicting Life Expectancy 482
Predicting Means and Individual Observations 483
Standard Error of the Predicted Mean 484
Confidence Intervals for the Predicted Means 485
Prediction Intervals for Individual Cases 486
Summary 488
What s Next? 488
How to Obtain a Bivariate Correlation 488
Options: Additional Statistics and Missing Data 490
How to Obtain a Partial Correlation 491
Options: Additional Statistics and Missing Data 492
Exercises 493
22 Analyzing Residuals 499
Residuals 500
Standardized Residuals 501
Studentized Residuals 502
Checking for Normality 503
Checking for Constant Variance 506
Checking Linearity 508
Checking Independence 511
A Final Comment on Assumptions 512
Looking for Influential Points 512
Studentized Deleted Residuals 515
Summary 516
What s Next? 516
Exercises 516
XV
23 Building Multiple Regression Models 523
Predicting Life Expectancy 524
The Model 524
Assumptions for Multiple Regression 525
Examining the Variables 526
Looking at How Well the Model Fits 528
Examining the Coefficients 530
Interpreting the Partial Regression Coefficients 532
Changing the Model 533
Partial Correlation Coefficients 534
Tolerance and Multicollinearity 535
Beta Coefficients 536
Building a Regression Model 537
Methods for Selecting Variables 538
Summary 546
What s Next? 546
How to Obtain a Multiple Linear Regression 547
Options: Variable Selection Criteria 548
Exercises 550
24 Multiple Regression Diagnostics 559
Examining Normality 560
Scatterplots of Residuals 562
Leverage 565
Changes in the Coefficients 566
Cook s Distance 567
Plots against Independent Variables 568
Partial Regression Plot 571
Why Bother? 572
Summary 572
Exercises 573
xvi
Appendices
A Obtaining Charts in SPSS 579
Overview 579
Creating Bar Charts 580
Creating a Chart Comparing Groups of Cases 580
Data Summary Options 583
Creating a Chart Comparing Several Variables 584
Changing the Summary Statistic 586
Options in Creating Charts 587
Modifying Charts 587
Modifying Chart Options 588
Hints on Editing Charts 589
Saving Chart Files 590
Line and Area Charts 590
Pie Charts 591
Boxplots 591
Case Labels 592
Error Bar Charts 592
Histograms 593
Normal Probability Plots 595
B Transforming and Selecting Data 597
Data Transformations 597
Transformations at a Glance 598
Saving Changes 599
Delaying Processing of Transformations 599
Recoding Values 601
Computing Variables 605
The Calculator Pad 606
Automatic Recoding 611
Conditional Transformations 612
Case Selection 617
Temporary or Permanent Selection 618
Other Selection Methods 621
xvii
C The T Distribution 622
D Areas under the Normal Curve 624
E Descriptions of Data Files 627
F Answers to Selected Exercises 629
Bibliography 643
Index 645
xviii
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| indexdate | 2024-07-09T21:35:24Z |
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| spelling | Norušis, Marija J. 1948- Verfasser (DE-588)112371965 aut SPSS statistics 17.0 guide to data analysis Marija J. Norušis Upper Saddle River, NJ Prentice Hall 2008 XVIII, 653 S. Ill., graph. Darst. CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 17.0 für WINDOWS (DE-588)7662334-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf SPSS 17.0 für WINDOWS (DE-588)7662334-8 s Datenanalyse (DE-588)4123037-1 s b DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017363862&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Norušis, Marija J. 1948- SPSS statistics 17.0 guide to data analysis SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 17.0 für WINDOWS (DE-588)7662334-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)7662334-8 (DE-588)4123037-1 |
| title | SPSS statistics 17.0 guide to data analysis |
| title_auth | SPSS statistics 17.0 guide to data analysis |
| title_exact_search | SPSS statistics 17.0 guide to data analysis |
| title_full | SPSS statistics 17.0 guide to data analysis Marija J. Norušis |
| title_fullStr | SPSS statistics 17.0 guide to data analysis Marija J. Norušis |
| title_full_unstemmed | SPSS statistics 17.0 guide to data analysis Marija J. Norušis |
| title_short | SPSS statistics 17.0 guide to data analysis |
| title_sort | spss statistics 17 0 guide to data analysis |
| topic | SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 17.0 für WINDOWS (DE-588)7662334-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 17.0 für WINDOWS Datenanalyse |
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