Quantitative Data Approach
Quantitative reasearch is a systematic process using figures to gather information. This approach focuses on changes or differences that can easily be measured and compared such as; number; time; weight; length etc. It includes testing a hypothesis or trying to discover relationships, starting with a hypothesis and trying to prove that hypothesis to be correct. The aim of the research it to establish differences, relationships or causality.
Information is obtained to be used in the future to make findings. There are a number of ways to gather the desired information, theses methods include; feedback forms; questionnaires; video recordings; surveys; consultations; online forums etc.
The information you have gathered can be displayed in a variety of ways. Graphs, cumulative frequency graphs, histograms and bar charts can all be used to present the information. There are three types of distribution curves curves - normal, positively skewed and negatively skewed. Normal curves: most of the data is close to the average. Positively skewed: data isn't distributed normally, most of the data is at the higher end of the scale. Negatively skewed: data isn't distibuted normally, most of the data is at the lower end of the scale.