Quantitative Research

valued research often is the preferred approach to worry radiation pattern as results argon precise. Many researchers prefer the take in measurement and statistical abstract that quantitative research offers. Observation in quantitative research allows smorgasbord and the statistical models built document the end point of a study. The data self-possessed in a quantitative investigation constitutes answers in numbers and statistics. deductive reasoning is used to design quantifiable tools that collect pertinent data.Results argon accurately measured and presented, as a quantitative research range of a function is empirical in nature it is also known as the scientific research paradigm (Atieno, 2009, p. 14). Characteristics of a Quantitative Problem Statement The conundrum education explains and justifies the decision to use quantitative analysis methods. The problem statement is a succinct and definite, implying data gathering and examination. Quantitative research is a mea ns for testing objective theories by examining the relationship among variables, (Creswell, 2008, p. ). Creswell (2009) indicated if a problem calls for factors that influence the result or a best outcome approach, thence a quantitative approach should be used. Characteristics of a Quantitative map Statement As Jenkins (2009) discussed, an effective purpose statement is in alinement with the problem statement. The nature of the study, data appealingness methods, and the study population strike the design approach. Variables identified in the design and logic of the problem contributes to the get off design and hypothesis.Formulation of Quantitative Research Questions and Hypotheses The quantitative research questions and hypothesis intelligibly seek to answer the problem statement. The hypothesis is the premise of the study, the expected outcome of the study presents anticipated results in a quantitative manner. The questions and hypothesis create a logical basis to identify da ta collection methods satisfactory for problem solving. Quantitative Data Collection Procedures Data collection exercisees meditate the activities as originally outlined in the problem and purpose statements.The bodily structure of formal instruments occurs to measure the quantifiable data gathered and analyzed. Constraints to data collection procedures such as organization, budget, time, and access to the survey population factor into the design plow (Jenkins, 2009). Quantitative Data Analysis Procedures The results from the data collection process derived from trend analysis and surveys use statistical methods of measurement (Atieno, 2009). The results provide an exact result numerically measured.The precision offered by gathering data by means of easily quantifiable tools give safe results. The data alone does non provide an answer statistical methods for analysis provide a reliable means of clarifying a large data set (Jenkins, 2009). statistical analysis is used to miti gate risk when a degree of skepticism is present. Numbers from the researched data set use statistical analysis and insurance coverage for analysis. Descriptive statistics allow the presentation of results using graphs and charts (Jenkins, 2009).Visual communications provides a take place graphic representation that allows easy cognition of complex data. Research bedrock Quantitative research is a preferred method of problem-solving because of its precision. A the right way designed problem statement and purpose statement drives the research process and deductive logic is used in the data gathering design. Results are analyzed using statistical methods to create a result set. foundation of results may include visual communication tools such as charts and graphs, providing simple tools to understand complex trends and ratios.