Holdings: SPSS 16.0 guide to data analysis

SPSS 16.0 guide to data analysis:

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Bibliographic Details
Main Author:	Norušis, Marija J. 1948- (Author)
Format:	Book
Language:	English
Published:	Upper Saddle River, NJ Prentice Hall 2008
Subjects:	SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences > Computer programs Social sciences > Statistical methods SPSS 16.0 für WINDOWS
Online Access:	Inhaltsverzeichnis
Physical Description:	XVIII, 653 S. 1 CD-ROM
ISBN:	9780136061366

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MARC


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adam_text	Contents Patt 1 Getting Started with SPSS I 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 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 3 Sources of Data 31 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 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 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 Vll 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 Part 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 238 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 Xll 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 Xlll 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
adam_txt	Contents Patt 1 Getting Started with SPSS I 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 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 3 Sources of Data 31 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 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 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 Vll 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 Part 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 238 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 Xll 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 Xlll 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
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spelling	Norušis, Marija J. 1948- Verfasser (DE-588)112371965 aut SPSS 16.0 guide to data analysis Marija J. Norušis Upper Saddle River, NJ Prentice Hall 2008 XVIII, 653 S. 1 CD-ROM txt rdacontent n rdamedia nc rdacarrier SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 16.0 für WINDOWS (DE-588)7613615-2 gnd rswk-swf SPSS 16.0 für WINDOWS (DE-588)7613615-2 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016584118&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
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title	SPSS 16.0 guide to data analysis
title_auth	SPSS 16.0 guide to data analysis
title_exact_search	SPSS 16.0 guide to data analysis
title_exact_search_txtP	SPSS 16.0 guide to data analysis
title_full	SPSS 16.0 guide to data analysis Marija J. Norušis
title_fullStr	SPSS 16.0 guide to data analysis Marija J. Norušis
title_full_unstemmed	SPSS 16.0 guide to data analysis Marija J. Norušis
title_short	SPSS 16.0 guide to data analysis
title_sort	spss 16 0 guide to data analysis
topic	SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 16.0 für WINDOWS (DE-588)7613615-2 gnd
topic_facet	SPSS (Computer file) SPSS for Windows Sozialwissenschaften Social sciences Computer programs Social sciences Statistical methods SPSS 16.0 für WINDOWS
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