In a quantitative dissertation or capstone you will be presenting your results. You may present your results with or without a discussion explaining what those results mean. You will want to consult your chair to make sure you are following the approach Oct 27, · The results chapter of a thesis or dissertation presents your research results concisely and objectively. In quantitative research, for each question or hypothesis, state: The type of analysis used; Relevant results in the form of descriptive and inferential statistics; Whether or not the hypothesis was supported Data Analysis Plan for Quantitative Analysis can be used for five blogger.com on the objective, we create research questions and statistical hypotheses. Survey Data Collection Meta Analysis Research Online Tutoring Services Cluster Analysis Results and Interpretation Dissertation Statistics Review
Quantitative Dissertations | Lærd Dissertation
The Quantitative Dissertations part of Lærd Dissertation helps guide you through the process of doing a quantitative dissertation. When we use the word quantitative to describe quantitative dissertationswe do not simply mean that the dissertation will draw on quantitative research methods or statistical analysis techniques. It is also a type of dissertation that is commonly used by undergraduates, master's and doctoral students across degrees, whether traditional science-based subjects, or in the social sciences, psychology, education and business studies, amongst others.
This introduction to the Quantitative Dissertations part of Lærd Dissertation has two goals: a to provide you with a sense of the broad characteristics of quantitative research, if you do not know about these characteristics already; and b to introduce you to the three main types routes of quantitative dissertation that we help you with in Lærd Dissertation: replication-based dissertations ; data-driven dissertations; and theory-driven dissertations.
When you have chosen which route you want to follow, we send you off to the relevant parts of Lærd Dissertation where you can find out more, dissertation quantitative analysis. If you have already read our article that briefly compares qualitativequantitative and mixed methods dissertations [ here ], you may want to skip this section now, dissertation quantitative analysis. If not, we can say that quantitative dissertations have a number of core characteristics:.
They are mainly underpinned by positivist or post-positivist research paradigms. They draw on one of four broad quantitative research designs i. They try to use probability sampling techniqueswith the goal of making generalisations from the sample being studied to a wider populationalthough often end up applying non-probability sampling dissertation quantitative analysis. They use research methods that generate quantitative data e.
They draw heavily on statistical analysis techniques to examine the data collected, whether descriptive or inferential in nature. They assess the dissertation quantitative analysis of their findings in terms of their reliabilityinternal and external validitydissertation quantitative analysis, and construct validity. If you choose to take on a quantitative dissertationyou will learn more about these characteristics, not only in the Fundamentals section of Lærd Dissertation, but throughout the articles we have written to help guide you through the choices you need to make when doing a quantitative dissertation.
For now, we recommend that you read the next section, Types of quantitative dissertationwhich will help you choose the type of dissertation you may want to follow. When taking on a quantitative dissertation, there are many different routes that you can follow. We focus on three major routes that cover a good proportion of the types of quantitative dissertation that are carried out.
We call them Route 1: Replication-based dissertationsRoute 2: Data-driven dissertations and Route 3: Theory-driven dissertations. Each of these three routes reflects a very different type of quantitative dissertation that you can take on. In the sections that follow, we describe the main characteristics of these three dissertation quantitative analysis. Rather than being exhaustive, the main goal is to highlight what these types of quantitative research are and what they involve.
Whilst you read through each section, try and think about your own dissertation, and whether you think that one of these types of dissertation might be right for you. Most quantitative dissertations at the undergraduate, master's or doctoral level involve some form of replicationwhether they are duplicating existing research, making generalisations from it, or extending the research in some way.
In most cases, replication is associated with duplication. In other words, dissertation quantitative analysis, you take a piece of published research and repeat it, typically in an identical way to see if the results that you obtain are the same as the original authors.
In some cases, you don't even redo the previous study, dissertation quantitative analysis, but simply request the original data that was collected, and reanalyse it to check that the original authors were accurate in their analysis techniques.
However, duplication is a very narrow view of replication, and is partly what has led some journal editors to shy away from accepting replication studies into their journals. The reality is that most research, whether completed by academics or dissertation students at the undergraduate, master's or doctoral level involves either generalisation or extension.
Alternately, replication can involve extending existing research to take into account new research designsmethods and measurement proceduresand analysis techniques. As a result, we call these different types of replication study: Route A: Duplicationdissertation quantitative analysis, Route B: Generalisation and Route C: Extension. In reality, it doesn't matter what you call them. We simply give them these names because a they reflect three different routes that you can follow when doing a replication-based dissertation i.
At this point, the Lærd Dissertation site focuses on helping guide you through Route 1: Replication-based dissertations.
When taking on a Route 1: Replication-based dissertationwe guide you through these three possible routes: Route A: Duplication ; Route B: Generalisation ; and Route C: Extension.
Each of these routes has different goals, requires different steps to be taken, and will be written up in its own way. To learn whether a Route 1: Replication-based dissertation is right for you, and if so, which of these routes you want to follow, start with our introductory guide: Route 1: Getting started. Sometimes the goal of quantitative research is not to build on or test theory, but to uncover the antecedents i.
Whilst you may not have heard the term before, a stylized fact is simply a fact that is surprisingundocumenteddissertation quantitative analysis, forms a pattern rather than being one-off, and has an important outcome variableamongst other characteristics.
A classic stylized fact was the discovery of the many maladies i. Such a discovery, made during the s, was dissertation quantitative analysis when you consider that smoking was being promoted by some doctors as having positive health benefits, as well as the fact that smoking was viewed as being stylish at the time Hambrick, 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, the focus of data-driven dissertations dissertation quantitative analysis entirely on discovering whether the stylized fact exists e, dissertation quantitative analysis.
These data-driven dissertations tend to be empirically-focusedand are often in fields where there is little theory to help ground or justify the research, but also where uncovering the stylized fact and its antecedents makes a significant contribution all by itself. On other occasions, the focus starts with discovering the stylized fact, as well as uncovering its antecedents e.
However, the goal is to go one step further and theoretically justify your findings. This can often be achieved when the field you are interested in is more theoretically developed e. We call these different types of data-driven dissertation: Route A: Empirically-focused and Route B: Theoretically-justified. In the part of Lærd Dissertation that deals exclusively with Route 2: Data-driven dissertationswhich we will be launching shortly, we introduce you to these two routes i.
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. If you would like to be notified when this part of Lærd Dissertation becomes available, please leave feedback. We have all come across theories during our studies.
Well-known theories include social capital theory Social Sciencesmotivation dissertation quantitative analysis Psychologyagency theory Business Studiesdissertation quantitative analysis, evolutionary theory Biologyquantum theory Physicsadaptation theory Sports Sciencedissertation quantitative analysis, and so forth. Irrespective of what we call these theories, and from which subjects they come, all dissertations involves theory to some extent.
However, what makes theory-driven dissertations different from other types of quantitative dissertation i, dissertation quantitative analysis. By theoretical contributionwe mean that theory-driven dissertations aim to add to dissertation quantitative analysis literature through their originality and focus on testingcombining or building theory. We emphasize the words testingcombining and building because these reflect three routes that you can dissertation quantitative analysis when carrying out a theory-driven dissertation: Route A: TestingRoute B: Combining or Route C: Building.
In reality, it doesn't matter what we call these three different routes. They are just there to help guide you through the dissertation process. The important point is that we can dissertation quantitative analysis different things with theory, which is reflected in the different routes that you can follow.
Sometimes we test theories i. For example, a researcher may have proposed a new theory in a journal article, but not yet tested it in the field by collecting and analysing data to see if the theory makes sense.
Sometimes we want to combine two or more well-established theories i. This can provide a new insight into a problem or issue that we think it is important, but remains unexplained by existing theory. In such cases, the use of well-established theories helps when testing these theoretical combinations. On other occasions, we want to go a step further and build new theory from the ground up i. Whilst there are many similarities between Route B: Combining and Route C: Buildingthe building of new theory goes further because even if the theories you are building on are well-established, you are likely to have to create new dissertation quantitative analysis and measurement procedures in order to test these theories.
In the part of Lærd Dissertation that deals exclusively with Route 3: Theory-driven dissertationswhich we will be launching shortly, we introduce you to these three routes i. A majority of students at the undergraduate, master's, and even doctoral level will take on a Route 1: Replication-based dissertation.
At this point, it is also the only route that we cover in depth [ NOTE: We will be launching Route 2: Data-driven dissertations and Dissertation quantitative analysis 3: Theory-driven dissertations at a later dissertation quantitative analysis. To learn whether a Route 1: Replication-based dissertation is right for you, and if so, how to proceed, start with our introductory guide: Route 1: Getting started, dissertation quantitative analysis.
If there is dissertation quantitative analysis you find unclear about what dissertation quantitative analysis have just read, please leave feedback. Hambrick, D. The field of management's devotion to theory: Too much of a good thing?
Academy of Management Journal50 6 Quantitative Dissertations The Quantitative Dissertations part of Lærd Dissertation dissertation quantitative analysis guide you through the process of doing a quantitative dissertation. Characteristics of quantitative dissertations Types of quantitative dissertation: Replication, Data and Theory.
Characteristics of quantitative dissertations If you have already read our article that briefly compares qualitativequantitative and mixed methods dissertations [ here ], you may want to skip this section now. Types of quantitative dissertation Replication, Data or Theory When taking on a quantitative dissertation, there are many different routes that you can follow. Route 1: Replication-based dissertations Route 2: Data-driven dissertations Route 3: Theory-driven dissertations.
Route 1: Replication-based dissertations Most quantitative dissertations at the undergraduate, master's or doctoral level involve some form of replicationwhether they are duplicating existing research, making generalisations from it, or extending the research in some way. Route 2: Data-driven dissertations Sometimes the goal of quantitative research is not to build on or test theory, but to uncover the antecedents i. Route 3: Theory-driven dissertations We have all come across theories during dissertation quantitative analysis studies.
Choosing between routes Which route should I choose? References Hambrick, D.
How to Write a Research Methodology in 4 Steps - Scribbr ��
, time: 4:54Reporting Research Results in Your Dissertation
Data Analysis Plan for Quantitative Analysis can be used for five blogger.com on the objective, we create research questions and statistical hypotheses. Survey Data Collection Meta Analysis Research Online Tutoring Services Cluster Analysis Results and Interpretation Dissertation Statistics Review My e-book, The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step approach contains a detailed, yet simple explanation of quantitative data analysis methods. The e-book explains all stages of the research process starting from the selection of the research area to writing personal reflection Quantitative Dissertations. The Quantitative Dissertations part of Lærd Dissertation helps guide you through the process of doing a quantitative dissertation. When we use the word quantitative to describe quantitative dissertations, we do not simply mean that the dissertation will draw on quantitative research methods or statistical analysis techniques
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