
Writing a Built Environment Dissertation
Beschreibung
Rezensionen / Stimmen
"Although there are significant differences between the UK and USeducational models, students at the university level in eithersystem can benefit from Farrell's suggestions and examples fordissertation writing." (Book News, 1 March 2011)Weitere Details
Weitere Ausgaben
Person
Inhalt
- Writing a Built Environment Dissertation: Practical guidance and examples
- Contents
- Author Biography
- Preface
- 1 Introduction
- 1.1 Introduction
- 1.2 Terminology
- nomenclature
- 1.3 Document structure
- 1.4 Possible subject areas for your dissertation
- 1.5 Qualitative or quantitative analysis?
- 1.6 The student/supervisor relationship and time management
- 1.7 Ethical compliance
- 1.8 House style or style guide
- 1.9 Writing style
- 1.10 Proofreading
- Summary of this chapter
- 2 The introduction chapter to the dissertation
- 2.1 Introduction contents
- 2.2 Articulation or description of the problem and provisional objectives
- Summary of this chapter
- 3 Review of theory and the literature
- 3.1 Introduction
- 3.2 Judgements or opinions?
- 3.3 Sources of data
- 3.4 Methods of finding the literature
- 3.5 Embedding theory in dissertations
- 3.6 Referencing as evidence of reading
- 3.7 Citing literature sources in the narrative of your work
- 3.8 Secondary citing
- 3.9 Who to cite in your narrative
- 3.10 References or bibliography or both?
- 3.11 Common mistakes by students
- 3.12 Using software to help with your references
- 3.13 Avoiding the charge of plagiarism
- Summary of this chapter
- 4 Research goals and their measurement
- 4.1 Introduction
- 4.2 Aim
- 4.3 Research questions
- 4.4 Objectives
- 4.5 Objectives with only one variable
- 4.6 Objectives with two variables
- 4.7 Hypotheses
- 4.8 Independent and dependent variables
- 4.9 Lots of variables at large
- intervening variables
- 4.10 Subject variables
- Example 1
- Example 2
- 4.11 No relationship between the IV and the DV
- 4.12 Designing your own measurement scales
- 4.13 Levels of measurement
- 4.14 Examples of categorical data in construction
- 4.15 Examples of ordinal data in construction
- 4.16 Examples of interval and ratio data in construction
- 4.17 Money as a variable
- Summary of this chapter
- 5 Methodology
- 5.1 Introduction
- 5.2 Approaches to collecting data
- 5.3 Types of data
- Primary or secondary data
- Objective or subjective data
- hard or soft
- 5.4 Questionnaires
- Piloting the questionnaire
- Coding questionnaires
- A basket of questions to measure variables or multiple item scales
- Using a basket of questions in ordinal closed-response scales
- Other possible responses in ordinal closed scales
- Ranking studies
- 5.5 Other analytical tools
- 5.6 Incorporating reliability and validity
- 5.7 Analysis, results and findings
- Summary of this chapter
- 6 Qualitative data analysis
- 6.1 Introduction and the process
- 6.2 Steps in the analytical process
- Summary of this chapter
- 7 Quantitative data analysis: descriptive statistics
- 7.1 Introduction
- 7.2 Glossary of symbols
- 7.3 Calculations done manually or by using software
- 7.4 Descriptive statistics
- Ranking
- Normal distributions: measures of central tendency (mean, median and mode)
- Measures of spread: range, standard deviation, variance
- Standard score: the Z score
- Confidence intervals
- General use of descriptive statistics
- Summary of this chapter
- 8 Quantitative data analysis: inferential statistics
- 8.1 Introduction
- 8.2 Probability values
- The p value of = 0.05
- Setting the significance level of p
- alternatives to 0.05
- 8.3 The chi-square test
- Assembling the raw data
- Transferring raw data to the contingency table: stage 1
- Are differences due to chance? manual calculations: p values and degrees of freedom
- The consequence of larger sample size and different spread of numbers
- More complex or more simple chi-square
- 8.4 Difference in mean tests: the 't' test
- Unrelated or related data
- Determining whether the data set is parametric
- Which difference in means test?
- 8.5 Difference in means: the unrelated Mann-Whitney test
- Assembling the raw data
- Are differences due to chance? Manual calculations: p values and degrees of freedom
- The Consequence of larger sample size and different spread of numbers
- 8.6 Difference in means: the related Wilcoxon test
- 8.7 Difference in means: the parametric related t test
- 8.8 Correlations
- Are differences due to chance?
- and the correlation coefficient
- Manual calculations for Spearman's Rho
- The consequence of larger sample size and a wider spread of data
- 8.9 Difference in means, correlations or both?
- 8.10 Using correlation coefficients to measure internal reliability and validity
- 8.11 Summarising results
- Summary of this chapter
- 9 Discussion, conclusions, recommendations and appendices
- 9.1 Introduction
- 9.2 Discussion
- 9.3 Conclusions and recommendations
- 9.4 Appendices
- 9.5 The examiner's perspective
- Initial overview
- Review of literature
- Design of study
- Presentation of results
- Discussion and conclusions
- Summative overview
- Summary of the dissertation process
- Summary of this chapter
- References
- Bibliography
- Appendices
- Appendix A: research ethics checklist
- Appendix B: narrative of a problem
- Appendix C: a review of theory and literature
- Introduction and the problem
- The Literature
- Motivation
- Social class
- Appendix D: qualitative analysis
- File 1: research objectives
- File 2: interview questions and prompts
- File 3: verbatim transcripts of interviews first copy
- File 7: verbatim transcripts of interviews third copy
- originating from file 4, person A only
- File 10: the narrative
- Appendix E: using Excel for charts, descriptive tests and inferential tests
- Four charts
- Frequency histograms
- Line diagrams
- Pie charts
- Scatter diagrams
- Eleven descriptive tests
- The five inferential tests
- Pearson's chi-square test
- Wilcoxon test, unrelated t-test and Mann-Whitney test
- Appendix F: the standard normal distribution table
- Appendix G: chi-square table
- Appendix H: Mann-Whitney table, p = 0.05
- Appendix I: Mann-Whitney table, p = 0.01
- Appendix J: Wilcoxon table
- Appendix K
- related t test table
- Appendix L: Spearman's rho table
- Appendix M: Pearson's r table
- Appendix N: F distribution
- Index
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