An adventure in statistics: the reality enigma
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington, DC ; Melbourne
Sage
2022
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| Ausgabe: | Second edition |
| Schriftenreihe: | Sage edge
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 648 Seiten Illustrationen, Diagramme |
| ISBN: | 9781529797145 9781529797138 |
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| 100 | 1 | |a Field, Andy |d 1973- |e Verfasser |0 (DE-588)128714581 |4 aut | |
| 245 | 1 | 0 | |a An adventure in statistics |b the reality enigma |c Andy Field ; illustrated by James Iles |
| 246 | 1 | 3 | |a Statistics |
| 250 | |a Second edition | ||
| 264 | 1 | |a Los Angeles ; London ; New Delhi ; Singapore ; Washington, DC ; Melbourne |b Sage |c 2022 | |
| 264 | 4 | |c © 2022 | |
| 300 | |a XII, 648 Seiten |b Illustrationen, Diagramme | ||
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Datensatz im Suchindex
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Contents What’s this Book About? How to Use this Book ix xi Who is the book aimed at? How do I teach with a book that has a fictional narrative? Can I dip into the book? What online resources are there? xi xi xi xii Guide for Students xiii 1 Prologue: The Dying Stars 7 Why You Need Science: The Beginning and the End 1.1 1.2 1.3 1.4 2 3 Will you love me now? How science works Research methods Why we need science Key terms JIG:SAW’s puzzles Reporting Research, Variables and Measurement: Breaking the Law 2.1 2.2 2.3 Writing up research Maths and statistical notation Variables and measurement Key terms JIG:SAW’s puzzles Summarizing Data: She Loves Me Not? 3.1 3.2 7 Frequency distributions Throwing shapes Key terms JIG:SAW’s puzzles 9 12 19 31 32 32 35 38 43 49 63 63 θ7 71 91 94 94
AN ADVENTURE IN STATISTICS: THE REALITY ENIGMA ą Fitting Models (Central Tendency): Somewhere g? in the Middle 4.1 4.2 4.3 4.4 5 100 108 118 1շց 135 135 Statistical models Central tendency The ‘fit’ of the mean: variance Dispersion Key terms JIG:SAW’s puzzles Presenting Data: Aggressive Prefector 5.1 5.2 5.3 137 139 Types of graphs Another perfect day The art of presenting data 143 Key terms JIG:SAW’s puzzles 157 6 Z-Scores: The Wolf is Loose 6.1 6.2 6.3 6.4 6.5 7 9 Interpreting raw scores Standardizing a score Using z-scores to compare distributions Using z-scores to compare scores z-scores for samples Key terms JIG:SAW’s puzzles Probability: The Bridge of Death 7.1 7.2 7.3 В 1Ծյ 166 168 172 177 179 182 182 183 185 193 211 217 217 Probability Probability and frequency distributions Conditional probability: Deathscotch Key terms JIG:SAW’s puzzles Inferential Statistics: Going Beyond the Data: Humiliative 219 8.1 8.2 8.3 8.4 223 227 236 246 253 253 Estimating parameters How well does a sample represent the population? Confidence intervals Inferential statistics Key terms JIG:SAW’s puzzles Robust Estimation: Man without Faith or Trust 9.1 9.2 9.3 9.4 Sources of bias A great mistake Reducing bias A final point about extreme scores Key terms JIG:SAW’s puzzles 255 258 266 269 280 283 283 VI
CONTENTS 10 Hypothesis Testing: In Reality All is Void 10.1 Null hypothesis significance testing Key terms JIG:SAW’s puzzles 11 285 288 308 308 Modern Approaches to Theory Testing: A Careworn Heart 311 Problems with NHST Effect sizes Meta-analysis Bayesian approaches Key terms JIG:SAW’s puzzles 313 318 327 329 338 338 12 Assumptions: Starblind 341 11.1 11.2 11.3 11.4 344 348 365 367 367 12.1 Fitting models: bringing it all together 12.2 Assumptions 12.3 Turning ever towards the sun Key terms JIG:SAW’s puzzles 369 13 Relationships: A Stranger’s Grave 13.1 13.2 13.3 13.4 Finding relationships in categorical data Whatevillaydormant Modelling relationships Silent sorrow in empty boats Key terms JIG:SAW’s puzzles W The General Linear Model: Red Fire Coming Out From His Gills 14.1 14.2 14.3 14.4 14.5 The linear model with one predictor Bias in the linear model A general procedure for fitting linear models Models with several predictors Robust regression Key terms JIG:SAW’s puzzles 15 Comparing Two Means: Rock or Bust 15.1 15.2 15.3 15.4 15.5 372 386 389 404 407 407 409 412 432 434 435 447 451 451 453 Testing differences between means: The rationale Means and the linear model Everything you believe is wrong The paired-samples t-test Alternative approaches Key terms JIG:SAW’s puzzles VII 455 459 470 472 477 483 483
AN ADVENTURE IN STATISTICS: THE REALITY ENIGMA 16 Comparing Several Means: Faith in Others 16.1 16.2 16.3 16.4 16.5 16.6 16.7 General procedure for comparing means Comparing several means with the linear model Contrast coding Storm of memories Repeated-measures designs Alternative approaches The invisible man Key terms JIG-.SAW’s puzzles 17 Factorial Designs: Prayer of Transformation 17.1 17.2 17.3 17.4 17.5 17.6 487 493 495 509 529 523 532 537 539 540 545 549 550 550 566 566 569 577 577 Factorial designs General procedure and assumptions Analysing factorial designs From the pinnacle to the pit Alternative approaches Interpreting interaction effects Key terms JIG:SAW’s puzzles Epilogue: The Genial Night: Si Momentum Requiris, Circumspice 581 Appendix 589 A.1 A.2 A.3 A.4 589 595 597 59g The standard normal distribution The t-distribution Critical values of the chi-square distribution Critical values of the F-distribution gøg 629 635 θ45 Glossary References Index Acknowledgements W« |
| adam_txt |
Contents What’s this Book About? How to Use this Book ix xi Who is the book aimed at? How do I teach with a book that has a fictional narrative? Can I dip into the book? What online resources are there? xi xi xi xii Guide for Students xiii 1 Prologue: The Dying Stars 7 Why You Need Science: The Beginning and the End 1.1 1.2 1.3 1.4 2 3 Will you love me now? How science works Research methods Why we need science Key terms JIG:SAW’s puzzles Reporting Research, Variables and Measurement: Breaking the Law 2.1 2.2 2.3 Writing up research Maths and statistical notation Variables and measurement Key terms JIG:SAW’s puzzles Summarizing Data: She Loves Me Not? 3.1 3.2 7 Frequency distributions Throwing shapes Key terms JIG:SAW’s puzzles 9 12 19 31 32 32 35 38 43 49 63 63 θ7 71 91 94 94
AN ADVENTURE IN STATISTICS: THE REALITY ENIGMA ą Fitting Models (Central Tendency): Somewhere g? in the Middle 4.1 4.2 4.3 4.4 5 100 108 118 1շց 135 135 Statistical models Central tendency The ‘fit’ of the mean: variance Dispersion Key terms JIG:SAW’s puzzles Presenting Data: Aggressive Prefector 5.1 5.2 5.3 137 139 Types of graphs Another perfect day The art of presenting data 143 Key terms JIG:SAW’s puzzles 157 6 Z-Scores: The Wolf is Loose 6.1 6.2 6.3 6.4 6.5 7 9 Interpreting raw scores Standardizing a score Using z-scores to compare distributions Using z-scores to compare scores z-scores for samples Key terms JIG:SAW’s puzzles Probability: The Bridge of Death 7.1 7.2 7.3 В 1Ծյ 166 168 172 177 179 182 182 183 185 193 211 217 217 Probability Probability and frequency distributions Conditional probability: Deathscotch Key terms JIG:SAW’s puzzles Inferential Statistics: Going Beyond the Data: Humiliative 219 8.1 8.2 8.3 8.4 223 227 236 246 253 253 Estimating parameters How well does a sample represent the population? Confidence intervals Inferential statistics Key terms JIG:SAW’s puzzles Robust Estimation: Man without Faith or Trust 9.1 9.2 9.3 9.4 Sources of bias A great mistake Reducing bias A final point about extreme scores Key terms JIG:SAW’s puzzles 255 258 266 269 280 283 283 VI
CONTENTS 10 Hypothesis Testing: In Reality All is Void 10.1 Null hypothesis significance testing Key terms JIG:SAW’s puzzles 11 285 288 308 308 Modern Approaches to Theory Testing: A Careworn Heart 311 Problems with NHST Effect sizes Meta-analysis Bayesian approaches Key terms JIG:SAW’s puzzles 313 318 327 329 338 338 12 Assumptions: Starblind 341 11.1 11.2 11.3 11.4 344 348 365 367 367 12.1 Fitting models: bringing it all together 12.2 Assumptions 12.3 Turning ever towards the sun Key terms JIG:SAW’s puzzles 369 13 Relationships: A Stranger’s Grave 13.1 13.2 13.3 13.4 Finding relationships in categorical data Whatevillaydormant Modelling relationships Silent sorrow in empty boats Key terms JIG:SAW’s puzzles W The General Linear Model: Red Fire Coming Out From His Gills 14.1 14.2 14.3 14.4 14.5 The linear model with one predictor Bias in the linear model A general procedure for fitting linear models Models with several predictors Robust regression Key terms JIG:SAW’s puzzles 15 Comparing Two Means: Rock or Bust 15.1 15.2 15.3 15.4 15.5 372 386 389 404 407 407 409 412 432 434 435 447 451 451 453 Testing differences between means: The rationale Means and the linear model Everything you believe is wrong The paired-samples t-test Alternative approaches Key terms JIG:SAW’s puzzles VII 455 459 470 472 477 483 483
AN ADVENTURE IN STATISTICS: THE REALITY ENIGMA 16 Comparing Several Means: Faith in Others 16.1 16.2 16.3 16.4 16.5 16.6 16.7 General procedure for comparing means Comparing several means with the linear model Contrast coding Storm of memories Repeated-measures designs Alternative approaches The invisible man Key terms JIG-.SAW’s puzzles 17 Factorial Designs: Prayer of Transformation 17.1 17.2 17.3 17.4 17.5 17.6 487 493 495 509 529 523 532 537 539 540 545 549 550 550 566 566 569 577 577 Factorial designs General procedure and assumptions Analysing factorial designs From the pinnacle to the pit Alternative approaches Interpreting interaction effects Key terms JIG:SAW’s puzzles Epilogue: The Genial Night: Si Momentum Requiris, Circumspice 581 Appendix 589 A.1 A.2 A.3 A.4 589 595 597 59g The standard normal distribution The t-distribution Critical values of the chi-square distribution Critical values of the F-distribution gøg 629 635 θ45 Glossary References Index Acknowledgements W« |
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| spelling | Field, Andy 1973- Verfasser (DE-588)128714581 aut An adventure in statistics the reality enigma Andy Field ; illustrated by James Iles Statistics Second edition Los Angeles ; London ; New Delhi ; Singapore ; Washington, DC ; Melbourne Sage 2022 © 2022 XII, 648 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Sage edge Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s DE-604 Iles, James (DE-588)1127346970 ill Vorangegangen ist 978-1-4462-1044-4 (DE-604)BV043300163 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033580897&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| subject_GND | (DE-588)4056995-0 (DE-588)4123623-3 |
| title | An adventure in statistics the reality enigma |
| title_alt | Statistics |
| title_auth | An adventure in statistics the reality enigma |
| title_exact_search | An adventure in statistics the reality enigma |
| title_exact_search_txtP | An adventure in statistics the reality enigma |
| title_full | An adventure in statistics the reality enigma Andy Field ; illustrated by James Iles |
| title_fullStr | An adventure in statistics the reality enigma Andy Field ; illustrated by James Iles |
| title_full_unstemmed | An adventure in statistics the reality enigma Andy Field ; illustrated by James Iles |
| title_short | An adventure in statistics |
| title_sort | an adventure in statistics the reality enigma |
| title_sub | the reality enigma |
| topic | Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistik Lehrbuch |
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