A dissertation demands specific formatting like APA, CMS, MLA (or any other, according to your university requirement). Content in dissertation should be styled in such a way that it complies with the prescribed layout. Formatting can be done in following specifics – Page Numbers, Margins, Headings & Sub-Headings, Table of contents, Figures & Tables, Appendices & References, Equations, Chapter Numbering, et al.
For a dissertation, Questionnaire plays a pivotal role in completion and is the instrument used for collecting primary data. Questionnaire should be phrased in a comprehensive manner as it affects the kind of information researcher wants to collect. Questionnaire is a classic method for primary data collection and can be run online and physically as well. It is important in a questionnaire, to arrange questions in a psychological order.
In an academic research, surveys are done for empirical research. Conducting survey provides data to a researcher, and hence its design should be methodical with checks on validity and reliability.
Data Analysis is a significant part in dissertation. It helps in driving the conclusion from accumulated data, which support better decision making. There are various tools and methods, which inspect and transform data so efficient information & conclusions can be obtained.
While writing a dissertation, it is necessary to provide proper citations of published or unpublished source. Citations usually appear in bibliography part justify the intellectual honesty of the author & authenticity of the information collected.
Before writing dissertation focus should be on writing a Dissertation Proposal. It includes the three chapters of the dissertation namely Introduction, Literature Review and Research Methodology.
In a dissertation, Methodology section reflects the choice of tools and strategies for data collection & analysis. Methodologies mentioned should match to the theoretical framework outlined earlier in the literature review.
In any dissertation, Power Analysis is an important aspect of quantitative study. Its aim is to provide a researcher with the information needed to address statistical questions. Some of its examples related to statistical analysis are T-Tests, Multiple Regressions, Pearson Correlations, ANOVA, Chi-Square.