in a journal article, but not yet tested it in the field by collecting and analysing data to see if the theory makes sense. In the part of Lrd Dissertation that deals exclusively with Route #3: Theory-driven dissertations, which we will be launching shortly, we introduce you to these three routes (i.e., Route A: Testing, Route B: Combining and Route C: Building before helping you choose between them. Once you have selected the route you plan to follow, we use extensive, step-by-step guides to help you carry out, and subsequently write up your chosen route. Each of these three routes reflects a very different type of quantitative dissertation that you can take.
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In the part of Lrd Dissertation that deals exclusively with Route #2: Data-driven dissertations, which we will be launching shortly, we introduce you to these two routes (i.e., Route A: Empirically-focused and Route B: Theoretically-justified before helping you choose between them. If you choose to take on a quantitative dissertation, you will learn more about these characteristics, not only in the Fundamentals section of Lrd Dissertation, but throughout the articles we have written to help guide you through the choices you need to make when doing. They follow research designs that heavily influence the choices you make throughout the research process, as well as the analysis and discussion of 'findings' (i.e., such research designs differ considerably depending on the route that is being followed, whether an autoethnography, case study research, ethnography. They report their findings using statements, data, tables and graphs that address each research question and/or hypothesis. In most cases, replication is associated with duplication. We call these different types of data-driven dissertation: Route A: Empirically-focused and Route B: Theoretically-justified. Quantitative research takes a particular approach to theory, answering research questions and/or hypotheses, setting up a research strategy, making conclusions from results, and so forth. The challenge of discovering a potential stylized fact, as well as collecting suitable data to test that such a stylized fact exists, makes data-driven dissertations a worthy type of quantitative dissertation to pursue. Sometimes we want to combine two or more well-established theories (i.e., Route B: Combining ).
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