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El. knyga: Writing Built Environment Dissertations and Projects: Practical Guidance and Examples

(Senior Lecturer and Programme Leader for the MSc in Construction Management, School of the Built Environment and Engineering, University of Bolton, UK), With , With
  • Formatas: EPUB+DRM
  • Išleidimo metai: 06-Apr-2016
  • Leidėjas: Wiley-Blackwell
  • Kalba: eng
  • ISBN-13: 9781118921821
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Writing Built Environment Dissertations and Projects: Practical Guidance and ExamplesDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Išleidimo metai: 06-Apr-2016
  • Leidėjas: Wiley-Blackwell
  • Kalba: eng
  • ISBN-13: 9781118921821
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Writing Built Environment Dissertations and Projects will help you to write a good dissertation or project by giving you a good understanding of what should be included, and showing you how to use data collection and analysis tools in the course of your research.

  • Addresses prominent weaknesses in under-graduate dissertations including weak data collection; superficial analysis and poor reliability and validity
  • Includes many more in-depth examples making it easy to understand and assimilate the concepts presented
  • Issues around study skills and ethics are embedded throughout the book and the many examples encourage you to consider the concepts of reliability and validity
  • Second edition includes a new chapter on laboratory based research projects
  • Supporting website with sample statistical calculations and additional examples from a wider range of built environment subjects 
Author biographies ix
Preface x
About the companion website xii
1 Introduction 1(32)
1.1 Introduction
1(1)
1.2 Terminology; nomenclature
2(1)
1.3 Document structure
3(4)
1.4 Possible subject areas for your research
7(1)
1.5 Professional bodies and the non-technical or technical dissertation or project
8(2)
1.6 Qualitative or quantitative analysis?
10(4)
1.7 The student/supervisor relationship and time management
14(3)
1.8 Ethical compliance and risk assessments
17(5)
1.9 House style or style guide
22(1)
1.10 Writing style
23(4)
1.11 Proofreading
27(2)
1.12 Extra support?
29(1)
1.13 A research proposal
29(1)
1.14 A viva or viva voce
30(1)
Summary
31(1)
References
31(2)
2 The introduction chapter to the dissertation or project 33(6)
2.1 Introduction contents
33(2)
2.2 Articulation or description of the problem and provisional objectives
35(2)
Summary of this chapter
37(1)
References
38(1)
3 Review of theory and the literature 39(28)
3.1 Introduction
39(2)
3.2 Style and contents of a literature review
41(2)
3.3 Judgements or opinions?
43(1)
3.4 Sources of data
44(4)
3.5 Methods of finding the literature
48(1)
3.6 Embedding theory in dissertations and projects
49(4)
3.7 Referencing as evidence of reading
53(1)
3.8 Citing literature sources in the narrative of your work
54(4)
3.9 References or bibliography or both?
58(1)
3.10 Common mistakes by students
59(1)
3.11 Using software to help with references
60(2)
3.12 Avoiding the charge of plagiarism
62(2)
Summary of this chapter
64(1)
References
64(3)
4 Research goals and their measurement 67(40)
4.1 Introduction
68(2)
4.2 Aim
70(1)
4.3 Research questions
71(1)
4.4 Objectives
71(3)
4.5 Variables
74(1)
4.6 A hypothesis with one variable
75(2)
4.7 A hypothesis with two variables: independent and dependent
77(4)
4.8 Writing the hypothesis: nulls and tails - a matter of semantics
81(2)
4.9 'Lots' of variables at large, intervening variables
83(1)
4.10 Ancillary or subject variables
83(5)
4.11 No relationship between the IV and the DV
88(1)
4.12 Designing measurement instruments; use authoritative tools and adapt the work of others
89(4)
4.13 Levels of measurement
93(2)
4.14 Examples of categorical or nominal data in construction
95(1)
4.15 Examples of ordinal data in construction
96(1)
4.16 Examples of interval and ratio data in construction
97(1)
4.17 Types of data
98(4)
4.18 Money and CO2 as variables
102(1)
4.19 Three objectives, each with an IV and DV: four variables to measure
103(1)
4.20 Summarising research goals; variables and their definition
104(1)
Summary of this chapter
105(1)
References
105(2)
5 The Methodology chapter; analysis, results and findings 107(33)
5.1 Introduction
107(3)
5.2 Approaches to collecting data
110(2)
5.3 Data measuring and collection
112(8)
5.4 Issues mostly relevant to just questionnaires
120(9)
5.5 Ranking studies
129(2)
5.6 Other analytical tools
131(1)
5.7 Incorporating reliability and validity
132(5)
5.8 Analysis, results and findings
137(1)
Summary of this chapter
138(1)
References
139(1)
6 Laboratory experiments 140(25)
6.1 Introduction
141(1)
6.2 Test methodology
142(1)
6.3 Sourcing test materials
143(1)
6.4 Reliability and validity of findings
143(2)
6.5 Sample size
145(1)
6.6 Laboratory recording procedures
145(1)
6.7 Dissertation/project writing (introduction, methodology and results)
146(3)
6.8 Health and safety in the laboratory; COSHH and risk assessments
149(2)
6.9 Role of the supervisor
151(2)
6.10 Possible research topics for technical dissertations or projects, construction and civil engineering
153(1)
6.11 Examples of research proposals
153(1)
6.12 Research objectives and sample findings by the author
154(9)
Bibliography
163(2)
7 Qualitative data analysis 165(12)
7.1 Introduction
165(1)
7.2 The process of qualitative data collection
166(2)
7.3 Steps in the analytical process
168(7)
Summary of this chapter
175(1)
References
176(1)
8 Quantitative data analysis; descriptive statistics 177(26)
8.1 Introduction
177(1)
8.2 Examples of the use of descriptive statistical tools
178(8)
8.3 Ancillary variables
186(4)
8.4 Illustration of relevant descriptive statistics in charts
190(1)
8.5 Normal distributions; Z scores
191(6)
8.6 A second variable for descriptive analysis; an IV and a DV
197(4)
Summary of this chapter
201(1)
References
202(1)
9 Quantitative data analysis; inferential statistics 203(48)
9.1 Introduction
204(2)
9.2 Probability values and three key tests: chi-square, difference in means and correlation
206(4)
9.3 The chi-square test
210(10)
9.4 Determining whether the dataset is parametric or non-parametric
220(3)
9.5 Difference in mean tests; the t-test
223(2)
9.6 Difference in means; the unrelated Mann-Whitney test
225(5)
9.7 Difference in means; the related Wilcoxon t-test
230(2)
9.8 Difference in means; the parametric related t-test
232(4)
9.9 Correlations
236(7)
9.10 Using correlation coefficients to measure internal reliability and validity in questionnaires
243(1)
9.11 Which test?
243(4)
9.12 Confidence intervals
247(3)
9.13 Summarising results
250(1)
Summary of this chapter
250(1)
References
250(1)
10 Discussion, conclusions, recommendations and appendices 251(9)
10.1 Introduction
251(1)
10.2 Discussion
252(1)
10.3 Conclusions and recommendations
253(2)
10.4 Appendices
255(1)
10.5 The examiner's perspective
256(2)
10.6 Summary of the dissertation or project process
258(1)
Summary of this chapter
259(1)
References
259(1)
List of appendices 260(90)
Appendix A: Glossary to demystify research terms
261(7)
Appendix B: Research ethics and health and safety examples
268(4)
Appendix C: An abstract, problem description and literature review
272(7)
Appendix D: Eight research proposals
279(30)
Appendix E: Raw data for a qualitative study
309(31)
Appendix F: Statistical tables
340(10)
Index 350
Peter Farrell is a Reader in Construction Management at the University of Bolton, UK, and programme leader for the universitys MSc in Construction Project Management. Fred Sherratt is a Senior Lecturer in Construction Management at Anglia Ruskin University, UK. Alan Richardson is a Reader in Civil Engineering at Northumbria University, UK and programme leader for the BEng in Civil Engineering.
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