Quantitative Research Methods for Linguists: A Questions and Answers Approach for Students [Pehme köide]

  • Formaat: Paperback, 184 pages, kõrgus x laius: 234x156 mm, 31 black & white illustrations, 35 black & white tables, 2 black & white halftones, 29 black & white line drawings
  • Ilmumisaeg: 29-Jun-2017
  • Kirjastus: Taylor & Francis Ltd
  • ISBN-10: 0415736323
  • ISBN-13: 9780415736329
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  • Formaat: Paperback, 184 pages, kõrgus x laius: 234x156 mm, 31 black & white illustrations, 35 black & white tables, 2 black & white halftones, 29 black & white line drawings
  • Ilmumisaeg: 29-Jun-2017
  • Kirjastus: Taylor & Francis Ltd
  • ISBN-10: 0415736323
  • ISBN-13: 9780415736329
Teised raamatud teemal:
Quantitative Research Methods for Linguistics provides an accessible introduction to research methods for undergraduates undertaking research for the first time. Employing a task-based approach, the authors’ demonstrate key methods through a series of worked examples, allowing students to take a learn-by-doing approach and making quantitative methods less daunting for the novice researcher.Key features include:Chapters framed around real research questions, walking the student step-by-step through the various methodsGuidance on how to design your own research projectBasic questions and answers that every new researcher needs to knowComprehensive glossary that makes the most technical of terms clear to readersAppendices covering different statistical packages that include R and SPSSAn accompanying companion website that includes datasets and online tutorials demonstrating each methodQuantitative Research Methods for Linguistics is essential reading for all students undertaking degrees in Linguistics and English Language studies.
Preface ix
How to use this book if you are a student x
How to use this book if you are an instructor x
Acknowledgements xi
PART I BASIC STATISTICAL IDEAS
1(50)
1 Basic concepts of quantification and number
3(19)
1.1 Why quantify?
4(2)
1.2 What is a number?
6(5)
1.3 Classifying numbers
11(6)
1.4 Converting nominal measures into continuous numbers
17(1)
1.5 Fractions, decimals and percentages
18(1)
1.6 How you express probability with numbers
18(2)
1.7 Summary
20(1)
1.8 References
21(1)
2 Designing research projects which count things
22(29)
2.1 Introduction: the dinner party experience
22(3)
2.2 Designing a quantitative research project
25(6)
2.3 Data collection example: working with questionnaires
31(5)
2.4 Data collection example: the experimental approach
36(2)
2.5 Data collection example: working with corpus data
38(2)
2.6 Describing your data
40(4)
2.7 Designing a study so that a statistical test is possible
44(3)
2.8 What do we mean by data?
47(1)
2.9 Summary
47(1)
2.10 References
48(3)
PART II ASKING AND ANSWERING QUANTITATIVE QUESTIONS
51(86)
3 Survey of the sexiness of Klingon: is your data normal?
55(12)
3.1 The research story
55(1)
3.2 Designing the study to collect numerical data
55(1)
3.3 Data collection
56(1)
3.4 Describing the data with numbers
57(2)
3.5 Describing the data with pictures
59(6)
3.6 Drawing statistical conclusions from the data
65(1)
3.7 References
65(2)
4 Who speaks Low German with their children? Visualisation -- describing words with pictures
67(11)
4.1 The research story
67(1)
4.2 The role of visualisation
68(1)
4.3 Tables
69(2)
4.4 Charts and graphs
71(3)
4.5 When visualisations mislead
74(1)
4.6 Boxplot graphs
75(1)
4.7 Summary
76(1)
4.8 References
77(1)
5 Whose English uses more present perfect? Comparison of two groups where the data is not normally distributed -- Mann-Whitney U test
78(14)
5.1 The research story
78(1)
5.2 The data
79(1)
5.3 Descriptive statistics
80(6)
5.4 A follow-on research story? Identifying words that might merit further investigation
86(4)
5.5 Summary
90(1)
5.6 References
91(1)
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
92(11)
6.1 The research story
92(3)
6.2 Designing your research to make the analysis easy
95(1)
6.3 The data
96(4)
6.4 Answering the question with chi square analysis
100(1)
6.5 Summary
101(2)
7 Do letter writers tend to use nouns and verbs together? Scatterplots and correlation of linear data
103(10)
7.1 The research story
103(1)
7.2 Designing your research to make the analysis easy
104(1)
7.3 The data
105(5)
7.4 Answering the question using a Pearson's correlation analysis
110(3)
8 Does the use of pronouns differ between two academic disciplines? Using t-tests to compare two groups
113(12)
8.1 The research story
113(1)
8.2 Designing your research to make the analysis easy
114(1)
8.3 The data
115(6)
8.4 Answering the question with a Rest
121(2)
8.5 Summary
123(2)
9 Do different academic subjects have distinctive patterns of pronoun use? Comparison between three or more groups -- one-way ANOVA
125(8)
9.1 The research story
125(1)
9.2 Designing your research to make the analysis easy
126(1)
9.3 The data
126(4)
9.4 Answering the question with an ANOVA
130(2)
9.5 Discussion
132(1)
10 Asking and answering quantitative questions: conclusions
133(4)
10.1 How to ruin your research project (and how to succeed with it)
134(3)
Glossary 137(12)
Index 149
Tim Grant is Professor in Forensic Linguistics at Aston University, UK. Urszula Clark is Professor of English Language and Linguistics at Aston University, UK. Gertrud Reershemius is the 50th Anniversary Chair in Language Contact and Linguistics at Aston University, UK. David Pollard is Learning and Teaching Support Manager at Aston University, UK. Sarah Hayes is Senior Lecturer in Technology Enhanced and Flexible Learning at Aston University, UK Garry Plappert is a lecturer in the Department of English at Aston University, UK.