Statistical methods for psychology:
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Belmont, CA
Thomson Wadsworth
2007
|
| Edition: | 6. ed., internat. student ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Erg. bildet: Howell, David C.: Student solutions manual for statistical methods for psychology |
| Physical Description: | XXI, 739 S. Ill., graph. Darst. |
| ISBN: | 0495093610 9780495093619 0495012874 9780495012870 |
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| 100 | 1 | |a Howell, David C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistical methods for psychology |c David C. Howell |
| 250 | |a 6. ed., internat. student ed. | ||
| 264 | 1 | |a Belmont, CA |b Thomson Wadsworth |c 2007 | |
| 300 | |a XXI, 739 S. |b Ill., graph. Darst. | ||
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| 500 | |a Erg. bildet: Howell, David C.: Student solutions manual for statistical methods for psychology | ||
| 650 | 4 | |a Psychology |x Statistical methods | |
| 650 | 4 | |a Psychometrics | |
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Record in the Search Index
| _version_ | 1804137198527709184 |
|---|---|
| adam_text | CONTENTS PREFACE XVII ABOUT THE AUTHOR XXI CHAPTER 1 CHAPTER 2 BASIC
CONCEPTS 1 1.1 IMPORTANT TERMS 2 1.2 DESCRIPTIVE AND INFERENTIAL
STATISTICS 4 1.3 MEASUREMENT SCALES 5 1.4 USING COMPUTERS 8 1.5 THE PLAN
OF THE BOOK 9 DESCRIBING AND EXPLORING DATA 15 2.1 PLOTTING DATA 17 2.2
HISTOGRAMS 19 2.3 STEM-AND-LEAF DISPLAYS 21 2.4 ALTERNATIVE METHODS OF
PLOTTING DATA 24 2.5 DESCRIBING DISTRIBUTIONS 27 2.6 USING COMPUTER
PROGRAMS TO DISPLAY DATA 29 2.7 NOTATION 31 2.8 MEASURES OF CENTRAL
TENDENCY 33 2.9 MEASURES OF VARIABILITY 39 2.10 BOXPLOTS: GRAPHICAL
REPRESENTATIONS OF DISPERSIONS AND EXTREME SCORES 51 2.11 OBTAINING
MEASURES OF DISPERSION USING MINITAB 54 X CONTENTS CHAPTER 3 2.12
PERCENTILES, QUARTILES, AND DECILES 55 2.13 THE EFFECT OF LINEAR
TRANSFORMATIONS ON DATA 56 THE NORMAL DISTRIBUTION 67 3.1 THE NORMAL
DISTRIBUTION 69 3.2 THE STANDARD NORMAL DISTRIBUTION 72 3.3 USING THE
TABLES OF THE STANDARD NORMAL DISTRIBUTION 74 3.4 SETTING PROBABLE
LIMITS ON AN OBSERVATION 77 3.5 MEASURES RELATED TO Z 78 CHAPTER 4
CHAPTER 5 CHAPTER 6 SAMPLING DISTRIBUTIONS AND HYPOTHESIS TESTING 83 4.1
TWO SIMPLE EXAMPLES INVOLVING COURSE EVALUATIONS AND RUDE MOTORISTS 84
4.2 SAMPLING DISTRIBUTIONS 86 4.3 THEORY OF HYPOTHESIS TESTING 88 4.4
THE NULL HYPOTHESIS 90 4.5 TEST STATISTICS AND THEIR SAMPLING
DISTRIBUTIONS 92 4.6 USING THE NORMAL DISTRIBUTION TO TEST HYPOTHESES 93
4.7 TYPE I AND TYPE II ERRORS 95 4.8 ONE- AND TWO-TAILED TESTS 98 4.9
WHAT DOES IT MEAN TO REJECT THE NULL HYPOTHESIS? 100 4.10 AN ALTERNATIVE
VIEW OF HYPOTHESIS TESTING 101 4.11 EFFECT SIZE 103 4.12 A FINAL WORKED
EXAMPLE 103 4.13 BACK TO COURSE EVALUATIONS AND RUDE MOTORISTS 105 BASIC
CONCEPTS OF PROBABILITY 109 5.1 PROBABILITY 110 BASIC TERMINOLOGY AND
RULES 111 DISCRETE VERSUS CONTINUOUS VARIABLES 115 PROBABILITY
DISTRIBUTIONS FOR DISCRETE VARIABLES 116 PROBABILITY DISTRIBUTIONS FOR
CONTINUOUS VARIABLES 117 PERMUTATIONS AND COMBINATIONS 118 BAYES THEOREM
121 THE BINOMIAL DISTRIBUTION 124 USING THE BINOMIAL DISTRIBUTION TO
TEST HYPOTHESES 128 THE MULTINOMIAL DISTRIBUTION 131 5.2 5.3 5.4 5.5 5.6
5.7 5.8 5.9 5.10 137 CATEGORICAL DATA AND CHI-SQUARE 6.1 THE CHI-SQUARE
DISTRIBUTION 138 6.2 THE CHI-SQUARE GOODNESS-OF-FIT TEST*ONE-WAY
CLASSIFICATION 139 CONTENTS CHAPTER 7 CHAPTER 8 CHAPTER 9 6.3 TWO
CLASSIFICATION VARIABLES: CONTINGENCY TABLE ANALYSIS 142 6.4 CHI-SQUARE
FOR LARGER CONTINGENCY TABLES 145 6.5 CHI-SQUARE FOR ORDINAL DATA 149
6.6 SUMMARY OF THE ASSUMPTIONS OF CHI-SQUARE 150 6.7 ONE-AND TWO-TAILED
TESTS 151 6.8 LIKELIHOOD RATIO TESTS 152 6.9 EFFECT SIZES 153 6.10
MEASURES OF AGREEMENT 157 6.11 WRITING UP THE RESULTS 159 HYPOTHESIS
TESTS APPLIED TO MEANS 169 7.1 SAMPLING DISTRIBUTION OF THE MEAN 170 7.2
TESTING HYPOTHESES ABOUT MEANS*CR KNOWN 172 7.3 TESTING A SAMPLE MEAN
WHEN CR IS UNKNOWN*THE ONE-SAMPLE T TEST 175 7.4 HYPOTHESIS TESTS
APPLIED TO MEANS*TWO MATCHED SAMPLES 184 7.5 HYPOTHESIS TESTS APPLIED TO
MEANS*TWO INDEPENDENT SAMPLES 192 7.6 A FINAL WORKED EXAMPLE 200 7.7
HETEROGENEITY OF VARIANCE: THE BEHRENS-FISHER PROBLEM 201 7.8 HYPOTHESIS
TESTING REVISITED 204 POWER 213 8.1 FACTORS AFFECTING THE POWER OF A
TEST 215 8.2 EFFECT SIZE 217 8.3 POWER CALCULATIONS FOR THE ONE-SAMPLE T
218 8.4 POWER CALCULATIONS FOR DIFFERENCES BETWEEN TWO INDEPENDENT MEANS
220 8.5 POWER CALCULATIONS FOR MATCHED-SAMPLE T 223 8.6 POWER
CONSIDERATIONS IN SAMPLE SIZE 225 8.7 RETROSPECTIVE POWER 226 8.8
WRITING UP THE RESULTS OF A POWER ANALYSIS 227 CORRELATION AND
REGRESSION 231 9.1 SCATTERPLOT 233 9.2 THE RELATIONSHIP BETWEEN STRESS
AND HEALTH 235 9.3 THE COVARIANCE 236 9.4 THE PEARSON PRODUCT-MOMENT
CORRELATION COEFFICIENT (R) 238 9.5 THE REGRESSION LINE 239 9.6 THE
ACCURACY OF PREDICTION 243 9.7 ASSUMPTIONS UNDERLYING REGRESSION AND
CORRELATION 249 9.8 CONFIDENCE LIMITS ON Y 251 9.9 A COMPUTER EXAMPLE
SHOWING THE ROLE OF TEST-TAKING SKILLS 252 CONTENTS 9.10 HYPOTHESIS
TESTING 255 9.11 THE ROLE OF ASSUMPTIONS IN CORRELATION AND REGRESSION
263 9.12 FACTORS THAT AFFECT THE CORRELATION 263 9.13 POWER CALCULATION
FOR PEARSON S R 266 CHAPTER 1 O CHAPTER 1 1 CHAPTER 1 2 ALTERNATIVE
CORRELATIONAL TECHNIQUES 275 10.1 POINT-BISERIAL CORRELATION AND PHI:
PEARSON CORRELATIONS BY ANOTHER NAME 276 10.2 BISERIAL AND TETRACHORIC
CORRELATION: NON-PEARSON CORRELATION COEFFICIENTS 284 10.3 CORRELATION
COEFFICIENTS FOR RANKED DATA 285 10.4 ANALYSIS OF CONTINGENCY TABLES
WITH ORDERED VARIABLES 288 10.5 KENDALL S COEFFICIENT OF CONCORDANCE (W)
290 SIMPLE ANALYSIS OF VARIANCE 297 11.1 AN EXAMPLE 298 11.2 THE
UNDERLYING MODEL 299 11.3 THE LOGIC OF THE ANALYSIS OF VARIANCE 301 11.4
CALCULATIONS IN THE ANALYSIS OF VARIANCE 303 11.5 WRITING UP THE RESULTS
308 11.6 COMPUTER SOLUTIONS 309 11.7 DERIVATION OF THE ANALYSIS OF
VARIANCE 312 11.8 UNEQUAL SAMPLE SIZES 314 11.9 VIOLATIONS OF
ASSUMPTIONS 316 11.10 TRANSFORMATIONS 318 11.11 FIXED VERSUS RANDOM
MODELS 324 11.12 MAGNITUDE OF EXPERIMENTAL EFFECT 325 11.13 POWER 328
11.14 COMPUTER ANALYSES 335 MULTIPLE COMPARISONS AMONG TREATMENT MEANS
343 12.1 ERROR RATES 344 12.2 MULTIPLE COMPARISONS IN A SIMPLE
EXPERIMENT ON MORPHINE TOLERANCE 346 12.3 A PRIORI COMPARISONS 349 12.4
CONFIDENCE INTERVALS AND EFFECT SIZES FOR CONTRASTS 363 12.5 REPORTING
RESULTS 366 12.6 POST HOC COMPARISONS 368 12.7 TUKEY STEST 370 12.8 THE
RYAN PROCEDURE (REGWQ) 372 12.9 THE SCHEFFE TEST 373 12.10 DUNNETT S
TEST FOR COMPARING ALL TREATMENTS WITH A CONTROL 374 12.11 COMPARISON OF
THE ALTERNATIVE PROCEDURES 375 CONTENTS 12.12 WHICH TEST? 376 12.13
COMPUTER SOLUTIONS 377 12.14 TREND ANALYSIS 380 CHAPTER 13 FACTORIAL
ANALYSIS OF VARIANCE 391 13.1 AN EXTENSION OF THE EYSENCK STUDY 394 13.2
STRUCTURAL MODELS AND EXPECTED MEAN SQUARES 398 13.3 INTERACTIONS 399
13.4 SIMPLE EFFECTS 401 13.5 ANALYSIS OF VARIANCE APPLIED TO THE EFFECTS
OF SMOKING 404 13.6 MULTIPLE COMPARISONS 406 13.7 POWER ANALYSIS FOR
FACTORIAL EXPERIMENTS 407 13.8 EXPECTED MEAN SQUARES 409 13.9 MEASURES
OF ASSOCIATION AND EFFECT SIZE 412 13.10 REPORTING THE RESULTS 419 13.11
UNEQUAL SAMPLE SIZES 420 13.12 ANALYSIS FOR UNEQUAL SAMPLE SIZES USING
SAS 425 13.13 HIGHER-ORDER FACTORIAL DESIGNS 426 13.14 A COMPUTER
EXAMPLE 431 CHAPTER 1 4 REPEATED-MEASURES DESIGNS 439 14.1 THE
STRUCTURAL MODEL 442 14.2 F RATIOS 442 14.3 THE COVARIANCE MATRIX 443
14.4 ANALYSIS OF VARIANCE APPLIED TO RELAXATION THERAPY 444 14.5
CONTRASTS AND EFFECT SIZES IN REPEATED-MEASURES DESIGNS 447 14.6 WRITING
UP THE RESULTS 448 14.7 ONE BETWEEN-SUBJECTS VARIABLE AND ONE
WITHIN-SUBJECTS VARIABLE 449 14.8 TWO BETWEEN-SUBJECTS VARIABLES AND ONE
WITHIN-SUBJECTS VARIABLE 461 14.9 TWO WITHIN-SUBJECTS VARIABLES AND ONE
BETWEEN-SUBJECTS VARIABLE 466 14.10 INTRACLASS CORRELATION 474 14.11
OTHER CONSIDERATIONS 476 14.12 A COMPUTER ANALYSIS USING A TRADITIONAL
APPROACH 477 14.13 MULTIVARIATE ANALYSIS OF VARIANCE FOR
REPEATED-MEASURES DESIGNS 480 CHAPTER 1 5 MULTIPLE REGRESSION 493 15.1
MULTIPLE LINEAR REGRESSION 494 15.2 STANDARD ERRORS AND TESTS OF
REGRESSION COEFFICIENTS 502 15.3 RESIDUAL VARIANCE 503 XIV CONTENTS
CHAPTER 1 6 15.4 DISTRIBUTION ASSUMPTIONS 504 15.5 THE MULTIPLE
CORRELATION COEFFICIENT 505 15.6 GEOMETRIC REPRESENTATION OF MULTIPLE
REGRESSION 507 15.7 PARTIAL AND SEMIPARTIAL CORRELATION 510 15.8
SUPPRESSOR VARIABLES 514 15.9 REGRESSION DIAGNOSTICS 515 15.10
CONSTRUCTING A REGRESSION EQUATION 520 15.11 THE IMPORTANCE OF
INDIVIDUAL VARIABLES 525 15.12 USING APPROXIMATE REGRESSION COEFFICIENTS
527 15.13 MEDIATING AND MODERATING RELATIONSHIPS 527 15.14 LOGISTIC
REGRESSION 536 ANALYSES OF VARIANCE AND COVARIANCE AS GENERAL LINEAR
MODELS 555 16.1 THE GENERAL LINEAR MODEL 556 16.2 ONE-WAY ANALYSIS OF
VARIANCE 559 16.3 FACTORIAL DESIGNS 562 16.4 ANALYSIS OF VARIANCE WITH
UNEQUAL SAMPLE SIZES 568 16.5 THE ONE-WAY ANALYSIS OF COVARIANCE 575
16.6 COMPUTING EFFECT SIZES IN AN ANALYSIS OF COVARIANCE 585 16.7
INTERPRETING AN ANALYSIS OF COVARIANCE 587 16.8 REPORTING THE RESULTS OF
AN ANALYSIS OF COVARIANCE 588 16.9 THE FACTORIAL ANALYSIS OF COVARIANCE
588 16.10 USING MULTIPLE COVARIATES 597 16.11 ALTERNATIVE EXPERIMENTAL
DESIGNS 597 CHAPTER 1 7 LOG-LINEAR ANALYSIS 605 17.1 TWO-WAY CONTINGENCY
TABLES 607 17.2 MODEL SPECIFICATION 612 17.3 TESTING MODELS 614 17.4
ODDS AND ODDS RATIOS 617 17.5 TREATMENT EFFECTS (LAMBDA) 618 17.6
THREE-WAY TABLES 619 17.7 DERIVING MODELS 623 17.8 TREATMENT EFFECTS 627
CHAPTER 1 8 RESAMPLING AND NONPARAMETRIC APPROACHES TO DATA 18.1
BOOTSTRAPPING AS A GENERAL APPROACH 637 18.2 BOOTSTRAPPING WITH ONE
SAMPLE 639 635 CONTENTS 18.3 RESAMPLING WITH TWO PAIRED SAMPLES 642 18.4
RESAMPLING WITH TWO INDEPENDENT SAMPLES 644 18.5 BOOTSTRAPPING
CONFIDENCE LIMITS ON A CORRELATION COEFFICIENT 646 18.6 WILCOXON S
RANK-SUM TEST 649 18.7 WILCOXON S MATCHED-PAIRS SIGNED-RANKS TEST 654
18.8 THE SIGN TEST 658 18.9 KRUSKAL-WALLIS ONE-WAY ANALYSIS OF VARIANCE
659 18.10 FRIEDMAN S RANK TEST FOR A : CORRELATED SAMPLES 660 APPENDICES
665 REFERENCES 698 ANSWERS TO EXERCISES 708 INDEX 725
|
| adam_txt |
CONTENTS PREFACE XVII ABOUT THE AUTHOR XXI CHAPTER 1 CHAPTER 2 BASIC
CONCEPTS 1 1.1 IMPORTANT TERMS 2 1.2 DESCRIPTIVE AND INFERENTIAL
STATISTICS 4 1.3 MEASUREMENT SCALES 5 1.4 USING COMPUTERS 8 1.5 THE PLAN
OF THE BOOK 9 DESCRIBING AND EXPLORING DATA 15 2.1 PLOTTING DATA 17 2.2
HISTOGRAMS 19 2.3 STEM-AND-LEAF DISPLAYS 21 2.4 ALTERNATIVE METHODS OF
PLOTTING DATA 24 2.5 DESCRIBING DISTRIBUTIONS 27 2.6 USING COMPUTER
PROGRAMS TO DISPLAY DATA 29 2.7 NOTATION 31 2.8 MEASURES OF CENTRAL
TENDENCY 33 2.9 MEASURES OF VARIABILITY 39 2.10 BOXPLOTS: GRAPHICAL
REPRESENTATIONS OF DISPERSIONS AND EXTREME SCORES 51 2.11 OBTAINING
MEASURES OF DISPERSION USING MINITAB 54 X CONTENTS CHAPTER 3 2.12
PERCENTILES, QUARTILES, AND DECILES 55 2.13 THE EFFECT OF LINEAR
TRANSFORMATIONS ON DATA 56 THE NORMAL DISTRIBUTION 67 3.1 THE NORMAL
DISTRIBUTION 69 3.2 THE STANDARD NORMAL DISTRIBUTION 72 3.3 USING THE
TABLES OF THE STANDARD NORMAL DISTRIBUTION 74 3.4 SETTING PROBABLE
LIMITS ON AN OBSERVATION 77 3.5 MEASURES RELATED TO Z 78 CHAPTER 4
CHAPTER 5 CHAPTER 6 SAMPLING DISTRIBUTIONS AND HYPOTHESIS TESTING 83 4.1
TWO SIMPLE EXAMPLES INVOLVING COURSE EVALUATIONS AND RUDE MOTORISTS 84
4.2 SAMPLING DISTRIBUTIONS 86 4.3 THEORY OF HYPOTHESIS TESTING 88 4.4
THE NULL HYPOTHESIS 90 4.5 TEST STATISTICS AND THEIR SAMPLING
DISTRIBUTIONS 92 4.6 USING THE NORMAL DISTRIBUTION TO TEST HYPOTHESES 93
4.7 TYPE I AND TYPE II ERRORS 95 4.8 ONE- AND TWO-TAILED TESTS 98 4.9
WHAT DOES IT MEAN TO REJECT THE NULL HYPOTHESIS? 100 4.10 AN ALTERNATIVE
VIEW OF HYPOTHESIS TESTING 101 4.11 EFFECT SIZE 103 4.12 A FINAL WORKED
EXAMPLE 103 4.13 BACK TO COURSE EVALUATIONS AND RUDE MOTORISTS 105 BASIC
CONCEPTS OF PROBABILITY 109 5.1 PROBABILITY 110 BASIC TERMINOLOGY AND
RULES 111 DISCRETE VERSUS CONTINUOUS VARIABLES 115 PROBABILITY
DISTRIBUTIONS FOR DISCRETE VARIABLES 116 PROBABILITY DISTRIBUTIONS FOR
CONTINUOUS VARIABLES 117 PERMUTATIONS AND COMBINATIONS 118 BAYES'THEOREM
121 THE BINOMIAL DISTRIBUTION 124 USING THE BINOMIAL DISTRIBUTION TO
TEST HYPOTHESES 128 THE MULTINOMIAL DISTRIBUTION 131 5.2 5.3 5.4 5.5 5.6
5.7 5.8 5.9 5.10 137 CATEGORICAL DATA AND CHI-SQUARE 6.1 THE CHI-SQUARE
DISTRIBUTION 138 6.2 THE CHI-SQUARE GOODNESS-OF-FIT TEST*ONE-WAY
CLASSIFICATION 139 CONTENTS CHAPTER 7 CHAPTER 8 CHAPTER 9 6.3 TWO
CLASSIFICATION VARIABLES: CONTINGENCY TABLE ANALYSIS 142 6.4 CHI-SQUARE
FOR LARGER CONTINGENCY TABLES 145 6.5 CHI-SQUARE FOR ORDINAL DATA 149
6.6 SUMMARY OF THE ASSUMPTIONS OF CHI-SQUARE 150 6.7 ONE-AND TWO-TAILED
TESTS 151 6.8 LIKELIHOOD RATIO TESTS 152 6.9 EFFECT SIZES 153 6.10
MEASURES OF AGREEMENT 157 6.11 WRITING UP THE RESULTS 159 HYPOTHESIS
TESTS APPLIED TO MEANS 169 7.1 SAMPLING DISTRIBUTION OF THE MEAN 170 7.2
TESTING HYPOTHESES ABOUT MEANS*CR KNOWN 172 7.3 TESTING A SAMPLE MEAN
WHEN CR IS UNKNOWN*THE ONE-SAMPLE T TEST 175 7.4 HYPOTHESIS TESTS
APPLIED TO MEANS*TWO MATCHED SAMPLES 184 7.5 HYPOTHESIS TESTS APPLIED TO
MEANS*TWO INDEPENDENT SAMPLES 192 7.6 A FINAL WORKED EXAMPLE 200 7.7
HETEROGENEITY OF VARIANCE: THE BEHRENS-FISHER PROBLEM 201 7.8 HYPOTHESIS
TESTING REVISITED 204 POWER 213 8.1 FACTORS AFFECTING THE POWER OF A
TEST 215 8.2 EFFECT SIZE 217 8.3 POWER CALCULATIONS FOR THE ONE-SAMPLE T
218 8.4 POWER CALCULATIONS FOR DIFFERENCES BETWEEN TWO INDEPENDENT MEANS
220 8.5 POWER CALCULATIONS FOR MATCHED-SAMPLE T 223 8.6 POWER
CONSIDERATIONS IN SAMPLE SIZE 225 8.7 RETROSPECTIVE POWER 226 8.8
WRITING UP THE RESULTS OF A POWER ANALYSIS 227 CORRELATION AND
REGRESSION 231 9.1 SCATTERPLOT 233 9.2 THE RELATIONSHIP BETWEEN STRESS
AND HEALTH 235 9.3 THE COVARIANCE 236 9.4 THE PEARSON PRODUCT-MOMENT
CORRELATION COEFFICIENT (R) 238 9.5 THE REGRESSION LINE 239 9.6 THE
ACCURACY OF PREDICTION 243 9.7 ASSUMPTIONS UNDERLYING REGRESSION AND
CORRELATION 249 9.8 CONFIDENCE LIMITS ON Y 251 9.9 A COMPUTER EXAMPLE
SHOWING THE ROLE OF TEST-TAKING SKILLS 252 CONTENTS 9.10 HYPOTHESIS
TESTING 255 9.11 THE ROLE OF ASSUMPTIONS IN CORRELATION AND REGRESSION
263 9.12 FACTORS THAT AFFECT THE CORRELATION 263 9.13 POWER CALCULATION
FOR PEARSON'S R 266 CHAPTER 1 O CHAPTER 1 1 CHAPTER 1 2 ALTERNATIVE
CORRELATIONAL TECHNIQUES 275 10.1 POINT-BISERIAL CORRELATION AND PHI:
PEARSON CORRELATIONS BY ANOTHER NAME 276 10.2 BISERIAL AND TETRACHORIC
CORRELATION: NON-PEARSON CORRELATION COEFFICIENTS 284 10.3 CORRELATION
COEFFICIENTS FOR RANKED DATA 285 10.4 ANALYSIS OF CONTINGENCY TABLES
WITH ORDERED VARIABLES 288 10.5 KENDALL'S COEFFICIENT OF CONCORDANCE (W)
290 SIMPLE ANALYSIS OF VARIANCE 297 11.1 AN EXAMPLE 298 11.2 THE
UNDERLYING MODEL 299 11.3 THE LOGIC OF THE ANALYSIS OF VARIANCE 301 11.4
CALCULATIONS IN THE ANALYSIS OF VARIANCE 303 11.5 WRITING UP THE RESULTS
308 11.6 COMPUTER SOLUTIONS 309 11.7 DERIVATION OF THE ANALYSIS OF
VARIANCE 312 11.8 UNEQUAL SAMPLE SIZES 314 11.9 VIOLATIONS OF
ASSUMPTIONS 316 11.10 TRANSFORMATIONS 318 11.11 FIXED VERSUS RANDOM
MODELS 324 11.12 MAGNITUDE OF EXPERIMENTAL EFFECT 325 11.13 POWER 328
11.14 COMPUTER ANALYSES 335 MULTIPLE COMPARISONS AMONG TREATMENT MEANS
343 12.1 ERROR RATES 344 12.2 MULTIPLE COMPARISONS IN A SIMPLE
EXPERIMENT ON MORPHINE TOLERANCE 346 12.3 A PRIORI COMPARISONS 349 12.4
CONFIDENCE INTERVALS AND EFFECT SIZES FOR CONTRASTS 363 12.5 REPORTING
RESULTS 366 12.6 POST HOC COMPARISONS 368 12.7 TUKEY'STEST 370 12.8 THE
RYAN PROCEDURE (REGWQ) 372 12.9 THE SCHEFFE TEST 373 12.10 DUNNETT'S
TEST FOR COMPARING ALL TREATMENTS WITH A CONTROL 374 12.11 COMPARISON OF
THE ALTERNATIVE PROCEDURES 375 CONTENTS 12.12 WHICH TEST? 376 12.13
COMPUTER SOLUTIONS 377 12.14 TREND ANALYSIS 380 CHAPTER 13 FACTORIAL
ANALYSIS OF VARIANCE 391 13.1 AN EXTENSION OF THE EYSENCK STUDY 394 13.2
STRUCTURAL MODELS AND EXPECTED MEAN SQUARES 398 13.3 INTERACTIONS 399
13.4 SIMPLE EFFECTS 401 13.5 ANALYSIS OF VARIANCE APPLIED TO THE EFFECTS
OF SMOKING 404 13.6 MULTIPLE COMPARISONS 406 13.7 POWER ANALYSIS FOR
FACTORIAL EXPERIMENTS 407 13.8 EXPECTED MEAN SQUARES 409 13.9 MEASURES
OF ASSOCIATION AND EFFECT SIZE 412 13.10 REPORTING THE RESULTS 419 13.11
UNEQUAL SAMPLE SIZES 420 13.12 ANALYSIS FOR UNEQUAL SAMPLE SIZES USING
SAS 425 13.13 HIGHER-ORDER FACTORIAL DESIGNS 426 13.14 A COMPUTER
EXAMPLE 431 CHAPTER 1 4 REPEATED-MEASURES DESIGNS 439 14.1 THE
STRUCTURAL MODEL 442 14.2 F RATIOS 442 14.3 THE COVARIANCE MATRIX 443
14.4 ANALYSIS OF VARIANCE APPLIED TO RELAXATION THERAPY 444 14.5
CONTRASTS AND EFFECT SIZES IN REPEATED-MEASURES DESIGNS 447 14.6 WRITING
UP THE RESULTS 448 14.7 ONE BETWEEN-SUBJECTS VARIABLE AND ONE
WITHIN-SUBJECTS VARIABLE 449 14.8 TWO BETWEEN-SUBJECTS VARIABLES AND ONE
WITHIN-SUBJECTS VARIABLE 461 14.9 TWO WITHIN-SUBJECTS VARIABLES AND ONE
BETWEEN-SUBJECTS VARIABLE 466 14.10 INTRACLASS CORRELATION 474 14.11
OTHER CONSIDERATIONS 476 14.12 A COMPUTER ANALYSIS USING A TRADITIONAL
APPROACH 477 14.13 MULTIVARIATE ANALYSIS OF VARIANCE FOR
REPEATED-MEASURES DESIGNS 480 CHAPTER 1 5 MULTIPLE REGRESSION 493 15.1
MULTIPLE LINEAR REGRESSION 494 15.2 STANDARD ERRORS AND TESTS OF
REGRESSION COEFFICIENTS 502 15.3 RESIDUAL VARIANCE 503 XIV CONTENTS
CHAPTER 1 6 15.4 DISTRIBUTION ASSUMPTIONS 504 15.5 THE MULTIPLE
CORRELATION COEFFICIENT 505 15.6 GEOMETRIC REPRESENTATION OF MULTIPLE
REGRESSION 507 15.7 PARTIAL AND SEMIPARTIAL CORRELATION 510 15.8
SUPPRESSOR VARIABLES 514 15.9 REGRESSION DIAGNOSTICS 515 15.10
CONSTRUCTING A REGRESSION EQUATION 520 15.11 THE "IMPORTANCE" OF
INDIVIDUAL VARIABLES 525 15.12 USING APPROXIMATE REGRESSION COEFFICIENTS
527 15.13 MEDIATING AND MODERATING RELATIONSHIPS 527 15.14 LOGISTIC
REGRESSION 536 ANALYSES OF VARIANCE AND COVARIANCE AS GENERAL LINEAR
MODELS 555 16.1 THE GENERAL LINEAR MODEL 556 16.2 ONE-WAY ANALYSIS OF
VARIANCE 559 16.3 FACTORIAL DESIGNS 562 16.4 ANALYSIS OF VARIANCE WITH
UNEQUAL SAMPLE SIZES 568 16.5 THE ONE-WAY ANALYSIS OF COVARIANCE 575
16.6 COMPUTING EFFECT SIZES IN AN ANALYSIS OF COVARIANCE 585 16.7
INTERPRETING AN ANALYSIS OF COVARIANCE 587 16.8 REPORTING THE RESULTS OF
AN ANALYSIS OF COVARIANCE 588 16.9 THE FACTORIAL ANALYSIS OF COVARIANCE
588 16.10 USING MULTIPLE COVARIATES 597 16.11 ALTERNATIVE EXPERIMENTAL
DESIGNS 597 CHAPTER 1 7 LOG-LINEAR ANALYSIS 605 17.1 TWO-WAY CONTINGENCY
TABLES 607 17.2 MODEL SPECIFICATION 612 17.3 TESTING MODELS 614 17.4
ODDS AND ODDS RATIOS 617 17.5 TREATMENT EFFECTS (LAMBDA) 618 17.6
THREE-WAY TABLES 619 17.7 DERIVING MODELS 623 17.8 TREATMENT EFFECTS 627
CHAPTER 1 8 RESAMPLING AND NONPARAMETRIC APPROACHES TO DATA 18.1
BOOTSTRAPPING AS A GENERAL APPROACH 637 18.2 BOOTSTRAPPING WITH ONE
SAMPLE 639 635 CONTENTS 18.3 RESAMPLING WITH TWO PAIRED SAMPLES 642 18.4
RESAMPLING WITH TWO INDEPENDENT SAMPLES 644 18.5 BOOTSTRAPPING
CONFIDENCE LIMITS ON A CORRELATION COEFFICIENT 646 18.6 WILCOXON'S
RANK-SUM TEST 649 18.7 WILCOXON'S MATCHED-PAIRS SIGNED-RANKS TEST 654
18.8 THE SIGN TEST 658 18.9 KRUSKAL-WALLIS ONE-WAY ANALYSIS OF VARIANCE
659 18.10 FRIEDMAN'S RANK TEST FOR A : CORRELATED SAMPLES 660 APPENDICES
665 REFERENCES 698 ANSWERS TO EXERCISES 708 INDEX 725 |
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| author_facet | Howell, David C. |
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| callnumber-first | B - Philosophy, Psychology, Religion |
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| callnumber-subject | BF - Psychology |
| classification_rvk | CM 4000 |
| classification_tum | MAT 620f SOZ 710f PSY 470f |
| ctrlnum | (OCoLC)70154618 (DE-599)BVBBV022954349 |
| dewey-full | 519.5/02415 |
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| dewey-raw | 519.5/02415 |
| dewey-search | 519.5/02415 |
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| dewey-tens | 510 - Mathematics |
| discipline | Soziologie Psychologie Mathematik |
| discipline_str_mv | Soziologie Psychologie Mathematik |
| edition | 6. ed., internat. student ed. |
| format | Book |
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| index_date | 2024-07-02T19:02:44Z |
| indexdate | 2024-07-09T21:08:29Z |
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| isbn | 0495093610 9780495093619 0495012874 9780495012870 |
| language | English |
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| spelling | Howell, David C. Verfasser aut Statistical methods for psychology David C. Howell 6. ed., internat. student ed. Belmont, CA Thomson Wadsworth 2007 XXI, 739 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Erg. bildet: Howell, David C.: Student solutions manual for statistical methods for psychology Psychology Statistical methods Psychometrics Statistik (DE-588)4056995-0 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Psychologie (DE-588)4047704-6 s Statistik (DE-588)4056995-0 s DE-604 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016158793&sequence=000001&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 | Howell, David C. Statistical methods for psychology Psychology Statistical methods Psychometrics Statistik (DE-588)4056995-0 gnd Psychologie (DE-588)4047704-6 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4047704-6 (DE-588)4123623-3 |
| title | Statistical methods for psychology |
| title_auth | Statistical methods for psychology |
| title_exact_search | Statistical methods for psychology |
| title_exact_search_txtP | Statistical methods for psychology |
| title_full | Statistical methods for psychology David C. Howell |
| title_fullStr | Statistical methods for psychology David C. Howell |
| title_full_unstemmed | Statistical methods for psychology David C. Howell |
| title_short | Statistical methods for psychology |
| title_sort | statistical methods for psychology |
| topic | Psychology Statistical methods Psychometrics Statistik (DE-588)4056995-0 gnd Psychologie (DE-588)4047704-6 gnd |
| topic_facet | Psychology Statistical methods Psychometrics Statistik Psychologie Lehrbuch |
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