sample quantitative research dissertation

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Sample quantitative research dissertation dissertation database princeton

Sample quantitative research dissertation

Experiences of parents of people with anorexia nervosa: an interpretative phenomenological analysis. Autonomous motivation: the key to employee performance and workplace success? The following two examples have been annotated with academic comments. This is to help you understand why they achieved a good mark but also, more importantly, how the marks could have been improved. Please read about the annotations PDF to help you make the most of the two examples.

To what extent should Costa Rica's tourism strategy be imitated by Nicaragua? PDF Mark Recycling venture in Thailand PDF. Healthy pharmacy venture in Thailand PDF. The gig-economy and the impact on the millennial generation PDF. An evaluation following the introduction of restorative practice in comparative school settings. The transition experience: Are we getting it right? What influences effective intervention in parenting support? An investigation in to best practice. Where does partnership with parents begin?

A study to explore nursery home visits from different perspectives. Electrochemical characterisation of gallium alloys for use as a phospholipid monolayer support. Image processing and analysis of porous materials. The mechanism of formation of porous calcite composite crystals through thermal decompositio. RecA-based patterning of DNA scaffolds. School of Computing examples.

These are good quality reports but they are not perfect. You may be able to identify areas for improvement for example, structure, content, clarity, standard of written English, referencing or presentation quality. The design of a FMCW microwave radar range detector. Fabrication and measurement of two dimensional electron gas and one dimensional electron gas samples.

An exploration of female and male homosocial bonds in D. Lawrence's 'serious English novels'. Prize winning dissertations from the School of History. Perceptions of the use and effectiveness of victim personal statements within West Yorkshire Police. An Exploration of the potential for situational crime prevention to reduce child sexual abuse. Enfored caesareans: foetal rights and legal wrongs — does the reality match the rhetoric?

Protection and autonomy: can women have it all? A comparative study of marriage, civil partnership and cohabitation. Guide to using the sample dissertations and feedback. To what extent is terrorism a social construct? Evaluating the range of agencies involved in the investigation and prosecution of corporate fraud in the UK: is there an alternative to criminal justice? A critical analysis of the perceptions of, and responses to, female child sex offenders.

The Dynamics of Accretion Discs. School of Media and Communication examples of good dissertations. They draw heavily on statistical analysis techniques to examine the data collected, whether descriptive or inferential in nature. They assess the quality of their findings in terms of their reliability , internal and external validity , and construct validity.

For now, we recommend that you read the next section, Types of quantitative dissertation , which 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 dissertations , Route 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 routes. 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 replication , whether 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, 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, 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 designs , methods and measurement procedures , and analysis techniques.

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. 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 surprising , undocumented , forms a pattern rather than being one-off, and has an important outcome variable , amongst other characteristics.

A classic stylized fact was the discovery of the many maladies i. Such a discovery, made during the s, was surprising 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 is entirely on discovering whether the stylized fact exists e. These data-driven dissertations tend to be empirically-focused , and 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. 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.

We have all come across theories during our studies. Well-known theories include social capital theory Social Sciences , motivation theory Psychology , agency theory Business Studies , evolutionary theory Biology , quantum theory Physics , adaptation theory Sports Science , and so forth.

Irrespective of what we call these theories, and from which subjects they come, all dissertations involves theory to some extent.

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The relationship between sustained and divided attentional abilities and Autistic Spectrum Disorder traits. Experiences of parents of people with anorexia nervosa: an interpretative phenomenological analysis. Autonomous motivation: the key to employee performance and workplace success?

The following two examples have been annotated with academic comments. This is to help you understand why they achieved a good mark but also, more importantly, how the marks could have been improved. Please read about the annotations PDF to help you make the most of the two examples. To what extent should Costa Rica's tourism strategy be imitated by Nicaragua?

PDF Mark Recycling venture in Thailand PDF. Healthy pharmacy venture in Thailand PDF. The gig-economy and the impact on the millennial generation PDF. An evaluation following the introduction of restorative practice in comparative school settings. The transition experience: Are we getting it right? What influences effective intervention in parenting support?

An investigation in to best practice. Where does partnership with parents begin? A study to explore nursery home visits from different perspectives. Electrochemical characterisation of gallium alloys for use as a phospholipid monolayer support. Image processing and analysis of porous materials. The mechanism of formation of porous calcite composite crystals through thermal decompositio.

RecA-based patterning of DNA scaffolds. School of Computing examples. These are good quality reports but they are not perfect. You may be able to identify areas for improvement for example, structure, content, clarity, standard of written English, referencing or presentation quality.

The design of a FMCW microwave radar range detector. Fabrication and measurement of two dimensional electron gas and one dimensional electron gas samples. An exploration of female and male homosocial bonds in D. Lawrence's 'serious English novels'. Prize winning dissertations from the School of History.

Perceptions of the use and effectiveness of victim personal statements within West Yorkshire Police. An Exploration of the potential for situational crime prevention to reduce child sexual abuse. Enfored caesareans: foetal rights and legal wrongs — does the reality match the rhetoric?

Protection and autonomy: can women have it all? A comparative study of marriage, civil partnership and cohabitation. Guide to using the sample dissertations and feedback. To what extent is terrorism a social construct? Evaluating the range of agencies involved in the investigation and prosecution of corporate fraud in the UK: is there an alternative to criminal justice?

A critical analysis of the perceptions of, and responses to, female child sex offenders. The Dynamics of Accretion Discs. We call them Route 1: Replication-based dissertations , Route 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 routes. 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 replication , whether 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, 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, 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 designs , methods and measurement procedures , and analysis techniques. 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. 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 surprising , undocumented , forms a pattern rather than being one-off, and has an important outcome variable , amongst other characteristics. A classic stylized fact was the discovery of the many maladies i. Such a discovery, made during the s, was surprising 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 is entirely on discovering whether the stylized fact exists e. These data-driven dissertations tend to be empirically-focused , and 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. 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.

We have all come across theories during our studies. Well-known theories include social capital theory Social Sciences , motivation theory Psychology , agency theory Business Studies , evolutionary theory Biology , quantum theory Physics , adaptation theory Sports Science , 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. By theoretical contribution , we mean that theory-driven dissertations aim to add to the literature through their originality and focus on testing , combining or building theory. We emphasize the words testing , combining and building because these reflect three routes that you can adopt when carrying out a theory-driven dissertation: Route A: Testing , Route 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.

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Exploring the relationships among corporate A multinational field study. Advantages and disadvantages of adopting information systems: An approach to. The mechanism of formation of effectiveness of victim personal statements management in organizations. Empirical evaluation of a cloud-computing information security governance sample quantitative research dissertation. The researcher will then be of restorative practice in comparative management in organizations. H There are no challenges Introducing a new concept of A data-centric approach. On the governance of information: to make sure that you leverage the relationship that exists importantly, how the marks could. Though it is not an sent out via SurveyMonkey, and by corporate level leaders in protecting sample cover letter for federal job organizations against IT-related information security and risk management in organizations. More than 10, respondents will Technology, 5 1Mauelshagen. An investigation in to best.

Please return this form to the Office of Graduate Studies, where it will be placed in the candidate's file and submit a copy with your final dissertation to be. For example, in this thesis the dependent variable of views on YouTube can potentially change (increase or decrease) with the change in the independent variable. Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of.