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Searchable by subject, author, advisor, title, school, date, etc. More information about full text access and requesting through Interlibrary Loan NDLTD — Networked Digital Library of Theses and Dissertations provides free online access to a over a million theses and dissertations from all over the world. WorldCat Dissertations and Theses searches library catalogs from across the U.
Brown, Robyn. Poetry and reason: means and meanings of the moving image. Pelovska, Iona. Ali, Nadia. Seburn, Ruth-Anne. Bernier, Elisa Katrine. Evaluating perception towards electric vehicles in the Greater Toronto and Hamilton Area. Goodfield, Joshua. A closer examination of facets of social interactions in predicting posttraumatic stress disorder and factors that moderate these associations. Ennis, Naomi. Puddephatt, Karen Joan. An Accidental Architecture the Architecture of the Imperfect. Maleki, Kavosh.
Numerical calculation of elastic properties of FCC crystals using molecular dynamics simulation. Szydlowski, Robert. Philosophy, history and progress. Camporese, Paolo Leone. Informing the informal: visualizing laneway housing and increased density in Toronto. Behrooz, Samira. Rural access to education through digital media. Menker, Bezayit. Cervical spine multi-body mathematical model. Taha, Ali. Van Ooteghem, Danielle. Novik, VAdim. Hiding in the bushes: the social and political dynamics in near-campus communities and the case of student housing in Hamilton, Ontario.
Erl, Chris. Do development permit systems inherently facilitate intensification objectives? Kashin, Brandon. Canay, Leona Carmelita Pagunuran. Thornton, Taylor Ardel. Analysis of impact of machine-type-communication on human-type communication over wireless communication networks. Sidhu, Parampreet. Woolnough, Samantha. Second generation of the diagnostic tool for the In vivo measurement of strontium levels in human bone.
Sibai, Mira. Flood, Kristen. Understanding creative hubs : the agglomeration of creativity in Toronto. Chen XiaoXuan, Amanda. Junke, Jeff. Walking in the winter: a qualitative study to identify environmental barriers encountered by seniors.
Siva, Herthana. Ricciuti, Sasha C. Coates, William P. Pentikainen, Paul. Citizenship acts: queer migrants and the negotiation of identity and belonging at Toronto Pride Week Black, Johannah May. Silva, Robert Da. Testing a model of psychosocial outcomes among adults living with mental illness accessing community-based services. Energy-aware ant colony optimization based routing for mobile ad hoc networks. Harishankar, Ssowjanya.
Dignan, Cherilyn. Monitoring biofilm Co2 production in response to antibiotic exposures. Jackson, Lindsay. Hoang, Daniel. Al-Nabi, Ehsan. Oziel, Sandra. The Vibration of a Beam under a Traversing Load. Wu, Kan-Chen Jane. Faster and optimal detection of parametric shapes. Thayilchira, Shynimol E. Analysis of psychometric data using statistical and machine learning methods. Subramanian, Krishnapriya. The impact of window-to-wall ratio on energy intensity of existing office buildings in Ontario and Quebec.
Mykytyak, Viktoriya. Rogowska, Marlena. Dmuchawska, Natalia. Thomas, Emily J. Lightning environment in the vicinity of the CN tower during major storms. Mansour, Norhan. Least cost analysis for Canadian new housing : identifying the most cost-effective specifications to achieve improved energy efficiency standards. Dembo, Aya. Thinking third sector in Canadian and German settlement and social inclusion.
Bushell, Riley Rose. McDonald, Kyla P. Comparative life cycle assessment: ground source heat pump system versus gas furnace and air conditioner system. Hunter, Alisha Kathleen. Planning for the grey tsunami housing shock in the city of Toronto.
Shedletsky, Jaime. A novel digital modulation scheme for multilevel cascaded H-bridge inverters in high power AC drives. Dong, Mouzhi.
By these words we meant that whatever happens — be ready for the battle. Even moreover, we will help you and provide as much help with your PhD dissertation as it is possible. To do so this post is designed. Learning proceeding information you will be able to find out much more than anywhere. If we cannot explain something or fully reveal the entire core of any matters, we will show where to go to find it.
Reading all written down below, do not consider it as one and only source of knowledge, feel free to improvise and to not be lazy to search elsewhere. Online dissertations are good examples. Remember that the more information you have got the better plot you may create. So, good luck with find a dissertation. A PhD dissertation is an academic document of the highest level the main purpose of which is to support philosophy doctor degree intentions.
Thus, the one who writes and protects it, is about to become a doctor of philosophy. As an academic paper it has a lot of requirements to follow one of which is being strict to generic composition. It is as follows:. Generally, it is as listed above but may vary from time to time. The main reason why dissertation compositions may be different from one to another is institutions demands. Which areas within these were particularly interesting for you?
For example, within a marketing module, you may have found consumer decision making or organisation trust to be interesting. Create a shortlist of those areas that you were both interested in and academically strong at. These unanswered questions are prime opportunities for a unique, meaningful research topic. A quick review of the literature on your favourite topics will help you understand this.
Grab your reading list from the relevant section of the modules, or simply enter the topics into Google Scholar. Skim-read 3 -5 journal articles from the past 5 years which have at least 5 citations each Google Scholar or a citations index will show you how many citations any given article has — i. This can be a great tool for fast-tracking your understanding of the current state of the knowledge in any given area. Scan this reference list for more relevant articles and read those.
As you read, try to understand what kinds of questions people are asking and how they are trying to answer them. What matters do the researchers agree on, and more importantly, what are they in disagreement about?
Disagreements are prime research territory. Do you know what your own approach or slant is? Once you understand the fundamental fact that academic knowledge is a conversation, things get easier. Think of it like a party. There are groups of people in the room, enjoying conversations about various things. Which group do you want to join? How many conversations can you identify?
Which ones feel closer to you and more attractive? Which ones repel you or leave you cold? Now, choose a couple of groups who are discussing something you feel interested in and where you feel like you might want to contribute. Right now, you need to work out what conversations are going on, whether any of them are related or overlapping, and which ones you might be able to walk into.
There are at least three approaches you can follow here, and they are not mutually exclusive:. Generally, researchers will clearly outline where they feel further research is needed FRIN , following on from their own research. So, essentially, every journal article presents you with a list of potential research opportunities.
However, the benefit of going this route is that you will be able to find a genuinely original and meaningful research topic which is particularly important for PhD-level research. The upside to this approach is originality, but the downside is that you might not find something that really interests you, or that you have the means to execute.
Approach 2: Put a local or industry-specific spin on established theory. The second option is to consider whether theory which is already well established is relevant within a local or industry-specific context. For example, theory about the antecedents drivers of trust is very well established, but there may be unique or uniquely important drivers within a specific national context or industry for example, within the financial services industry in an emerging market.
If that industry or national context has not yet been covered by researchers AND there is a good reason to believe there may be meaningful differences within that context, then you have an opportunity to take a unique angle on well-established theory, which can make for a great piece of research. It is however imperative that you have a good reason to believe that the existing theory may not be wholly relevant within your chosen context, or your research will not be justified.
However, the downside is that this approach will likely not produce the level of originality as approach 1. Approach 3: Uncensored brainstorming. However crazy, unfeasible, or plain stupid your topic appears — write it down. All that matters right now is that you are interested in this thing.
Re-word your list of topics or issues into a list of questions. You might find at this stage that one research topic throws up three questions which then become sub-topics and even new separate topics in their own right and in so doing, the list grows. Let it. You may also then find that approach 1 and 2 can be used to build on these ideas.
As mentioned earlier, the three approaches discussed here are not mutually exclusive. In fact, the more, the merrier. Hopefully, you manage to utilise all three, as this will give you the best odds of producing a rich list of ideas, which you can then narrow down and evaluate, which is the next step.
By this stage, you should have a healthy list of research topics. Step away from the ideation and thinking for a few days, clear your mind. The key is to get some distance from your ideas, so that you can sit down with your list and review it with a more objective view. Look at your list and see if any options can be crossed off right away. Maybe the topic turned out to be too broad and threw up 20 hard to answer questions.
Maybe all the literature you found about it was 30 years old and you suspect it might not be a very engaging contemporary issue. You can try to amalgamate these into one succinct topic. Personal interest is your key evaluation criterion at this stage. Now, with a cool head and your best analytical mind engaged, go systematically through each option and evaluate them against the following criteria:. Research questions — what is the main research question, and what are the supporting sub-questions?
Are you able to add something unique to the existing conversation? Who will benefit from finding the answer to your desired questions and how will they benefit? Literature — is there a contemporary current body of academic literature around this issue? Will you be able to navigate this literature or is it overwhelming? Data requirements — What kind of data would you need access to in order to answer your key questions?
Would you need to adopt a qualitative, quantitative or mixed methods approach to answer your questions? Will you use qual, quant or mixed methods? Feasibility — How feasible would it be to gather the data that would be needed in the time-frame that you have — and do you have the will power and the skills to do it?
If you feel this question calls for a person survey, do you have the time to plan, organise and conduct it and then analyse it? Be very realistic here and also ask advice from supervisor and other experts — poor response rates are extremely common and can derail even the best research projects. Personal attraction — On a scale of , how excited are you about this topic?
The last point is particularly important. You will have to engage with your dissertation in a very sustained and deep way, face challenges and difficulties, and get it to completion. This is the reason personal interest was the sole evaluation criterion when we chose the top 5.
A strong research topic must tick all three boxes — interesting, relevant and feasible. The next step is to narrow to 2 or 3 shortlisted topics. No more! Write a short paragraph about each topic, addressing the following:. Essentially, you should be able to present an elevator pitch for each of your research topic ideas.