Quantitative Research

numeric question a lot is the preferred approach to hassle design as aftermaths are precise. some(prenominal) queryers prefer the exact placardment and statistical depth psychology that numerical research offers. Observation in quantitative research leases classification and the statistical models make document the outcome of a study. The entropy collected in a quantitative investigation creates processs in numbers and statistics. Deductive reasoning is use to design quantifiable tools that collect pertinent data.Results are accurately thrifty and presented, as a quantitative research trope is empirical in character it is also known as the scientific research paradigm (Atieno, 2009, p. 14). Characteristics of a three-figure Problem Statement The problem statement explains and justifies the finale to use quantitative analysis methods. The problem statement is a laconic and definite, implying data gathering and examination. vicenary research is a means for examen obj ective 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, then a quantitative approach should be employ. Characteristics of a Quantitative Purpose Statement As Jenkins (2009) discussed, an effective purpose statement is in alignment with the problem statement. The nature of the study, data collection methods, and the study population identify the design approach. Variables identify in the design and logical system of the problem contributes to the project design and hypothesis.Formulation of Quantitative Research Questions and Hypotheses The quantitative research questions and hypothesis clearly seek to serve well the problem statement. The hypothesis is the premise of the study, the expected outcome of the study presents evaluate results in a quantitative manner. The questions and hypothesis create a perspicuous basis to identify data collec tion methods suitable for problem solving. Quantitative Data Collection Procedures Data collection processes reflect the activities as primitively outlined in the problem and purpose statements.The construction 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 process (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 through easily quantifiable tools give reliable results. The data alone does not provide an answer statistical methods for analysis provide a reliable means of elucidative a large data set (Jenkins, 2009). Statistical analysis is used to mitigate risk when a degr ee of uncertainty is present. Numbers from the researched data set use statistical analysis and reporting for analysis. Descriptive statistics allow the presentation of results victimisation graphs and charts (Jenkins, 2009).Visual communications provides a clear graphic commission that allows simple cognition of compound data. Research Fundamentals Quantitative research is a preferred method of problem-solving because of its precision. A properly 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. Presentation of results may entangle visual communication tools such as charts and graphs, providing simple tools to understand complex trends and ratios.