The data collection plan will involve both types of collection methods. On the quantitative level, the researcher will implement the experimental design using the pretest posttest method thus enabling one to gather data from a group before the application of the independent variable and then gather additional information after the independent variable has been implemented to measure its effect or the dependent variable. Identities of the subjects will be kept confidential through out the entire study. Any new data such as significant changes in math scores between and within the groups will be documented. The qualitative data from both groups will be gathered through surveys and weekly math test scores. The surveys will be implementing the Rating and Likert Scale questions with the addition of open ended questions (Action Research. 2002). Surveys will be examined and approved by a research professional.
Most researchers are aware of the importance of validity and reliability to ensure the quality and credibility of their research. Valid results from this research project must be defendable. Inferences can be reliable but may not be valid and inferences can not be valid without it being reliable (Action Research. 2002). There are multiple problems researchers must anticipate when developing a data collection plan. The most prevalent issue a researcher must keep in mind is whether the instrument used is measuring what it is supposed to measure. In the case of this research project, one must realize whether this particular experimental design and survey truly measure the effects of nutrition on school performances.
