Dissertation quantitative methodology

Dissertation quantitative methodology

Oct 28,  · It concludes with a brief discussion on the ethical considerations and limitations posed by the research methodology, as well as problems encountered during the research. Research Approach. This dissertation makes use of qualitative research strategy, where the research approach implemented has been that of interpretivism Oct 27,  · The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, present: A reminder of the type of analysis you used (e.g. a two-sample t-test or simple linear regression). A more detailed description of your analysis should go in your methodology section Feb 25,  · How to write a methodology. Published on 25 February by Shona McCombes. Revised on 12 June In your dissertation or thesis, you will have to discuss the methods you used to undertake your research. The methodology or methods section explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research

How to Write Your Dissertation Chapter 3: Methodology

In quantitative data analysis you are expected to turn raw numbers into meaningful data through the application of rational and critical thinking. Quantitative data analysis may include dissertation quantitative methodology calculation of frequencies of variables and differences between variables.

A quantitative approach is usually associated with finding evidence to either support or reject hypotheses you have formulated at the earlier stages of your research process.

The same figure within data set can be interpreted in many different ways; therefore it is important to apply fair and careful judgement. This specific piece of primary data findings needs to be critically analyzed and objectively interpreted through comparing it to other findings within the framework of the same research.

For example, organizational culture of Agro Bravo Enterprise, leadership style, the levels of frequency of management-employee communications need to be taken into account during the data dissertation quantitative methodology. Moreover, literature review findings conducted at the earlier stages of the research process need to be referred to in order to reflect the viewpoints of other authors regarding the causes of employee dissatisfaction with management communication.

Also, secondary data needs to be integrated in data analysis in a logical and unbiased manner. You are writing a dissertation exploring the impacts of foreign direct investment FDI on the levels of economic growth in Vietnam using correlation quantitative data analysis method. You have specified FDI and GDP as variables for your research dissertation quantitative methodology correlation tests produced correlation coefficient of 0.

In this case simply stating that there is a strong positive correlation between FDI and GDP would not suffice; you have to provide explanation about the manners in which the growth on the levels of FDI may contribute to the growth of GDP by referring to the findings of the literature review and applying your own critical and rational reasoning skills, dissertation quantitative methodology.

A set of analytical software can be used to assist with analysis of quantitative data. The following table illustrates the advantages and disadvantages of three popular quantitative data analysis software: Microsoft Excel, Microsoft Access and SPSS. Advantages Disadvantages Excel Spreadsheet. Microsoft Access One of the cheapest amongst premium programs.

Remote use requires installation of the same version of Microsoft Access SPSS Broad coverage of formulas and statistical routines, dissertation quantitative methodology. Confusion among the different versions due to regular update Advantages and disadvantages of popular quantitative analytical software.

Quantitative data analysis with dissertation quantitative methodology application of statistical software consists of the following stages [1] :. It is important to note that while the application of various statistical software and programs are invaluable to avoid drawing charts by hand or undertake calculations manually, dissertation quantitative methodology, it is easy to use them incorrectly.

Therefore, it is important for you to seek advice from your dissertation supervisor regarding statistical analyses in general and the choice and application of statistical software in particular. 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 dissertation quantitative methodology reflection. Important elements of dissertations such as research philosophy, research approach, research design, methods of data collection and data analysis are explained in simple words.

John Dudovskiy. Chichester: John Wiley. Big Excel files may run slowly Numbers of rows and columns are limited Advanced analysis functions are time consuming to be learned by beginners Virus vulnerability through macros.

One of the cheapest amongst premium programs Flexible information retrieval Ease of use. Difficult in dealing with large database Low level of interactivity Remote use requires installation of the same version of Microsoft Access. Broad coverage of formulas and statistical routines Data files can be imported through other programs Annually updated to increase sophistication, dissertation quantitative methodology.

Expensive cost Limited license duration Confusion among the different versions due to regular update.

Methodology, Writing Chapter III of a Quantitative Thesis Proposal

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Reporting Research Results in Your Dissertation

Oct 27,  · The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, present: A reminder of the type of analysis you used (e.g. a two-sample t-test or simple linear regression). A more detailed description of your analysis should go in your methodology section 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 preferred by your chair. Thus, your chapter 4 may include the following The most popular quantitative data collection methods are closed-ended questionnaires, experiments, correlation and regression analysis methods and others. 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 methods. The e-book explains