| Description |
1 online resource (165 pages) |
| Contents |
Cover; Title; Copyright; Contents; Preface; How to use this book if you are a student; How to use this book if you are an instructor; Acknowledgements; Part I: Basic Statistical Ideas; 1. Basic concepts of quantification and number; 1.1 Why quantify?; 1.2 What is a number?; 1.3 Classifying numbers; 1.4 Converting nominal measures into continuous numbers; 1.5 Fractions, decimals and percentages; 1.6 How you express probability with numbers; 1.7 Summary; 1.8 References; 2. Designing research projects which count things; 2.1 Introduction: the dinner party experience |
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2.2 Designing a quantitative research project2.3 Data collection example: working with questionnaires; 2.4 Data collection example: the experimental approach; 2.5 Data collection example: working with corpus data; 2.6 Describing your data; 2.7 Designing a study so that a statistical test is possible; 2.8 What do we mean by data?; 2.9 Summary; 2.10 References; Part II: Asking and Answering Quantitative Questions; 3. Survey of the sexiness of Klingon: is your data normal?; 3.1 The research story; 3.2 Designing the study to collect numerical data; 3.3 Data collection |
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3.4 Describing the data with numbers3.5 Describing the data with pictures; 3.6 Drawing statistical conclusions from the data; 3.7 References; 4. Who speaks Low German with their children? Visualisation -- describing words with pictures; 4.1 The research story; 4.2 The role of visualisation; 4.3 Tables; 4.4 Charts and graphs; 4.5 When visualisations mislead; 4.6 Boxplot graphs; 4.7 Summary; 4.8 References; 5. Whose English uses more present perfect? Comparison of two groups where the data is not normally distributed -- Mann-Whitney U test; 5.1 The research story; 5.2 The data |
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5.3 Descriptive statistics5.4 A follow-on research story? Identifying words that might merit further investigation; 5.5 Summary; 5.6 References; 6. Is there a difference in the way 'ing' is pronounced by people from Birmingham and the Black Country? Testing for difference using chi square; 6.1 The research story; 6.2 Designing your research to make the analysis easy; 6.3 The data; 6.4 Answering the question with chi square analysis; 6.5 Summary; 7. Do letter writers tend to use nouns and verbs together? Scatterplots and correlation of linear data; 7.1 The research story |
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7.2 Designing your research to make the analysis easy7.3 The data; 7.4 Answering the question using a Pearson's correlation analysis; 8. Does the use of pronouns differ between two academic disciplines? Using t-tests to compare two groups; 8.1 The research story; 8.2 Designing your research to make the analysis easy; 8.3 The data; 8.4 Answering the question with a t-test; 8.5 Summary; 9. Do different academic subjects have distinctive patterns of pronoun use? Comparison between three or more groups -- one-way ANOVA; 9.1 The research story; 9.2 Designing your research to make the analysis easy |
| Notes |
9.3 The data |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Applied linguistics -- Research -- Methodology
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Applied linguistics -- Study and teaching -- Handbooks, manuals, etc
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Linguistics -- Study and teaching -- Handbooks, manuals, etc
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Applied linguistics -- Study and teaching
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Linguistics -- Study and teaching
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Linguistik
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Qualitative Methode
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| Genre/Form |
Handbooks and manuals
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| Form |
Electronic book
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| Author |
Clark, Urszula
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Reershemius, Gertrud
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Pollard, Dave
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Hayes, Sarah
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Plappert, Garry
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| ISBN |
9781351722971 |
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1351722972 |
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1351722980 |
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9781351722988 |
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