Business owners can now use quantitative methods to predict trends, determine the allocation of resources, and manage projects.Quantitative techniques are also used to evaluate investments. Quantitative analysis (QA) is a technique that uses mathematical and statistical modeling, measurement, and research to understand behavior. Important elements of dissertations such as research philosophy, research approach, research design, methods of data collection and data analysis are explained in simple words. 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 the calculation of frequencies of variables and differences between variables. QA is not the opposite of qualitative analysis; they are just different philosophies. Quantitative research gathers information from a large sample size with the help of different sampling methods, where a statistical analysis is performed on the results. As a component of QA, governments and central banks commonly track and evaluate statistical data, such as GDP and employment figures. Selecting the most appropriate tables and diagrams to use according to your research objectives. T his article considers the analysis of data in quantitative research. In other words, quantitative data analysis is “a field where it is not at all difficult to carry out an analysis which is simply wrong, or inappropriate for your data or purposes. 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. Forecasting is a technique that uses historical data as inputs to make informed estimates that are predictive in determining the direction of future trends. However, to get a better picture of a company's performance, analysts also evaluate information that is not easily quantifiable or reduced to numeric values, such as reputation or employee morale. 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. In the financial services industry, QA is used to analyze investment opportunities, such as when to purchase or sell securities. Quantitative analysis (QA) is a technique uses mathematical and statistical modeling, measurement, and research that to understand behavior. (2012) “Research Methods for Business Students” 6th edition, Pearson Education Limited. Also, secondary data needs to be integrated in data analysis in a logical and unbiased manner. Quantitative analysis (QA) is a technique uses mathematical and statistical modeling, measurement, and research that to understand behavior. Selecting the most appropriate statistics to describe your data. Quantitative analysis is the use of mathematical and statistical techniques to assess the performance of a business. It is common for a company to use quantitative analysis to evaluate figures such as sales revenue, profit margins, or return on assets (ROA). Quantitative data analysis may include the calculation of frequencies of variables and differences between variables. John Dudovskiy. Qualitative analysis focuses on meanings, involves sensitivity to context rather than the desire to obtain universal generalizations, and establishes rich descriptions rather than quantifiable metrics. [1] Saunders, M., Lewis, P. & Thornhill, A. The type of data that can be quantified varies from behavior, opinions, attitudes to other variables. Qualitative tools used for the project can include customer surveys and panel discussions. Secondary quantitative research helps to validate the data that is collected from primary quantitative research as well as aid in strengthening or proving or disproving previously collected data. Economics is a branch of social science focused on the production, distribution, and consumption of goods and services. Investors perform QA when using key financial ratios, such as the price-earnings ratio (P/E) or earnings per share (EPS), in their investment decision-making process (e.g., whether to purchasing shares of a company's stock). Qualitative analysis seeks to answer the "why" and "how" of human behavior. In the financial world, analysts who rely strictly on QA are frequently referred to as "quants" or "quant jockeys.". Before the advent of quantitative analysis, many company directors based their decisions on experience and gut.