Sep 20, · Various statistical software exists to analyse both quantitative and qualitive data. Examples include R, Stata, SAS, SPSS, EViews, NVivo, Qualtrics and so on. Here we will provide you with ways to install some of the top analysis tools on your personal computers. Software on Research Commons computers Aug 16, · A dissertation topic must be selected based on research interests, availability of data, time limitations, and the research’s scope and significance. The following management dissertation topics are carefully shortlisted while considering all these parameters. Please review these topics and let us know if you have any queries Jan 10, · Quantitative research is confirmatory in nature. Thus, the main goal is to confirm or disconfirm hypotheses by relying on statistical analyses. In quantitative research, you will be concerned with numerical data that reflects a fixed and measurable (rather than dynamic) reality
Chapter 3 – Dissertation Methodology (example) - Research Prospect
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The current chapter presents developing the research methods needed to complete the experimentation portion of the current study. The chapter will discuss in detail the analyse quantitative data dissertation stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen. In addition to this, the analyse quantitative data dissertation describes the data collection strategy, including the selection of research instrumentation and sampling.
The chapter closes with a discussion on the analysis tools used to analyse the data collected. Creswall stated that research approaches are plans and procedures that range from steps, including making broad assumptions to detailed methods of data collection, analysis, and interpretation. The several decisions involved in the process are used to decide which analyse quantitative data dissertation should be analyse quantitative data dissertation in a specific study that is informed using philosophical assumptions brought to the study Creswall Included in this are procedures of inquiry or research designs and specific research methods used for data collection, its analysis, analyse quantitative data dissertation, and finally its interpretation.
There are many ways to customise research approaches to develop an approach most suited for a particular study. However, the main three categories with which research approaches are organised include; qualitative, analyse quantitative data dissertation, quantitative, and mixed research methods. Creswall comments that all three approaches are not considered so discrete or distinct to one another.
Lastly, mixed methods research resides in the middle of the continuum as it can incorporate elements and characteristics of both quantitative and qualitative approaches. Lewis points out that the main distinction that is often cited between quantitative and qualitative research is that it is framed in terms of using numbers rather than words; or using closed-ended questions for quantitative hypotheses over open-ended questions for qualitative interview questions.
Guetterman points out that a clearer way of viewing gradations of differences between the approaches is to examine the basic philosophical assumptions analyse quantitative data dissertation to the study, the kinds of research strategies used, and the particular methods implemented in conducting the strategies.
An important component of defining the research approach involves philosophical assumptions that contribute to the broad research approach of planning or proposing to conduct research. It involves the intersection of philosophy, research designs and specific methods as illustrated in Fig. Figure 3. Slife and Williams have argued that philosophical ideas have remained hidden within the research. However, they still play an influential role in the research practice, and it is for this reason that it is most identified.
Various analyse quantitative data dissertation assumptions are used to construct or develop a study. Saunders et al. Dumke believes that two views; positivism and phenomenology mainly characterise research philosophy. Positivism reflects acceptance in adopting the philosophical stance of natural scientists Saunders, According to Remenyi et al. Gill and Johnson add that it will also emphasise a high structure methodology to allow for replication for other studies.
Dumke agrees and explains. that a positivist philosophical assumption produces highly structured methodologies and allows for generalization and quantification of objectives that can analyse quantitative data dissertation evaluated by statistical methods. For this philosophical approach, the researcher is considered an objective observer who should analyse quantitative data dissertation be impacted by or impact the subject of research.
On the other hand, more phenomenological approaches agree that the social world of business and management is too complex to develop theories and laws similar to natural sciences. To identify a positive relationship with Big Data usage and beneficial business outcomes, the theory needs to be used to generate hypotheses that can later be tested of the relationship which would allow for explanations of laws that can later be assessed Bryman and Bell, Interpretive research approaches are derived from research philosophy that is adopted.
According to Dumkethe two main research approaches are deductive and inductive. The inductive approach is commonly referred to when theory is derived from observations, analyse quantitative data dissertation. Thus, the research begins with a specific observation and measures. It is then from detecting some patter that a hypothesis is developed. Dumke argues that researchers who use an inductive approach usually work with qualitative data and apply various methods to gather specific information that places different views.
From the philosophical assumptions discussed in the previous section, it is reasonable to use the deductive approach for the current study. It is also considered the most commonly used theory to establish a relationship between theory and research. The figure below illustrates the steps used for the process of deduction. Based on what is known about a specific domain, the theoretical considerations encompassing it a hypothesis or hypotheses are deduced that will later be subjected to empirical enquiry Daum, Through these hypotheses, concepts of the subject of interest will be translated into entities that are rational for a study.
Researchers are then able to deduce their hypotheses and convert them into operational terms. However, quantitative data refers to all data that can be a product of all research strategies Bryman and Bell, ; Guetterman, ; Lewis, ; Saunders, Based on the philosophical assumptions and interpretive research approach, a quantitative research method is the best suited for the current study.
Haq explains that quantitative research is about collecting numerical data and then analysing it through statistical methods to explain a specific phenomenon. Mujis defends the use of quantitative research because unlike qualitative research, which argues that there is no pre-existing reality, quantitative assumes that there is only a single reality about social conditions that researchers cannot influence in any way. Also, qualitative research is commonly used when there is little to no knowledge of a phenomenon whereas quantitative research is used to find the cause and effect relationship between variables to either verify or nullify some theory or hypothesis Creswall ; Feilzer ; Teddlie and Tashakkori There are many strategies available to implement in a study as evidence from Fig.
There are many mono-quantitative methods, such as telephone interviews, web-based surveys, postal surveys, and structured questionnaires Haq Each instrument has its own pros and cons in terms of quality, time, and data cost.
Brymand ; Driscoll et al. Saunders and Tosey have argued that quantitative data is simpler to obtain and more concise to present. Therefore, the current study uses a survey-based questionnaire See Appendix A. Surveys are considered the most traditional forms of research and use in analyse quantitative data dissertation descriptive designs that describe some reality. In this case, it is the executives currently working for automobile companies in the UK. The survey instrument is then chosen for its effectiveness at being practical and inexpensive Kelley et al.
Analyse quantitative data dissertation to the philosophical assumptions, interpretive approach, and methodological approach, the survey design for the current study is considered the best instrument in line with these premises, besides being cost-effective. This section describes how research is designed to use the techniques used for data collection, sampling strategy, and data analysis for a quantitative method.
Before going into the strategies of data collection and analysis, a set of hypotheses were analyse quantitative data dissertation. The current study uses a quantitative research approach, making it essential to develop a set of hypotheses that will be used as a test standard for the mono-method quantitative design, analyse quantitative data dissertation. The following are a set of hypotheses which have been developed from the examination of the literature review.
This section includes the sampling method used to collect the number of respondents needed to provide information then analysed after collection. Collis explains that there are many kinds of sampling methods that can be used for creating a specific target sample from a population. This current study uses simple random sampling to acquire respondents with which the survey will be conducted.
Simple random sampling is considered the most basic form of probability sampling, analyse quantitative data dissertation. Under the method, elements taken from the population at random with all elements having an equal chance of being selected. According to as ofthere are about thirty-five active British car manufacturers in the UK, analyse quantitative data dissertation, each having an employee population of or more.
This is why the total population of analyse quantitative data dissertation in car manufacturers is estimated to 5, employees. The sample, therefore, developed used the following equation.
Where; N is the population size, e is the margin of error as a decimalz is analyse quantitative data dissertation level as a z-scoreand p is percentage value as a decimal.
The survey develops see Appendix A has a total of three sections, A, B, analyse quantitative data dissertation, and C, analyse quantitative data dissertation, with a total of 39 questions. Each section has its own set of questions to accomplish.
The survey is designed to take no longer than twenty minutes. The survey was constructed on Survey Monkey, analyse quantitative data dissertation. com, and an online survey provided website. The survey was left on the website for a duration of 40 days to ensure that the maximum number of respondents were able to answer the analyse quantitative data dissertation. The only way that the survey was allowed for a respondent is if they passed a security question as if they are working for an automobile company in the UK when taking the survey.
Gupta et al. The collected data is then analysed through the Statistical Package for Social Science SPSS version 24 for descriptive analysis. The demographic section of the survey will be analysed using descriptive statistics. Further analysis of the data includes regression analysis. Simple regression analysis includes only one independent variable and one dependent variable. Farrar and Glauber assert that the purpose of regression analysis is to estimate the parameters of dependency, and it should not be used to determine the interdependency of a relationship.
Order Now. The current study is looking towards a quantitative approach that considers positivism as its philosophical undertaking, using deductive reasoning for its interpretive approach, is a mono-quantitative method that involves the use of a survey instrument for data collection. The methodology chapter also provided the data analysis technique, which is descriptive statistics through frequency analysis and regression analysis.
Question 8- Of these staff, are mostly working in or for your consumer-facing B2C businesses, your commercial or wholesale B2B businesses, or both? Based on the illustration, nineteen 19 respondents indicated that employees are dedicated to analytics for both B2B and B2C.
SPSS: How To Perform Quantitative Data Analyses For Bachelor's Research? 5 Basic Analysis Methods
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if you are thinking about collecting your own data for a dissertation or other research-based project to make sure that you design your project well from the beginning. Quantitative data is numbers and statistics. The advantage here is that you can collect and analyse much more information. With good design, that means you can Aug 16, · A dissertation topic must be selected based on research interests, availability of data, time limitations, and the research’s scope and significance. The following management dissertation topics are carefully shortlisted while considering all these parameters. Please review these topics and let us know if you have any queries Jan 14, · This in-depth guide covers all you need to know about dissertation secondary research and how to do it in 4 simple steps. as with all types of data, quantitative and qualitative. Secondary research can, therefore, be conducted by using either quantitative or qualitative data sets. you would need to analyse the data by employing
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