Quantitative research often is the preferred approach to problem design as results are precise. Many researchers prefer the exact measurement and statistical analysis that quantitative research offers. Observation in quantitative research allows classification and the statistical models built document the outcome of a study. The data collected in a quantitative investigation creates answers in numbers and statistics. Deductive reasoning is used to design quantifiable tools that collect pertinent data. Results are accurately measured and presented, as a “quantitative research paradigm is empirical in nature; it is also known as the scientific research paradigm” (Atieno, 2009, p. 14). Characteristics of a Quantitative Problem Statement
The problem statement 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 means for testing objective theories by examining the relationship among variables," (Creswell, 2008, p. 4). Creswell (2009) indicated if a problem calls for factors that influence the result or a best outcome approach, then a quantitative approach should be used. 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 identified in the design and logic 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 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 data...
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