¶ … attainment of a desired research goal is to develop a scientific approach toward the situation, event, occurrence, or phenomenon being investigated. As such no research question can be answered by way of gathering and analyzing data if first investigative issue is not stated in testable terms or form. Once a research investigator has established and properly formatted the specific research design to be used to investigate and test a desired phenomenon attention can be given to the required method of data collection. On the basis of the method chosen the researcher will be permitted to draw the necessary conclusions from the data statistically analyzed. Should a research investigator not choose the best-fit method of data collection then any inferences drawn from the data analysis are subject to a tremendous amount of error and inaccuracy. In order to avoid data error and inaccuracy the research investigator must give particular attention to how the data to be analyzed is collected or what is better known as sampling procedure. Sampling alone can skew testing results, infuse uncontrollable error into statistical processes, and violate the empirical premise under which to research investigation is being conducted (Ohlson, 1998). In order for accurate conclusions to be drawn about any research endeavor there must exist an adequate sample size as well as employing an appropriate sampling structure. The best-fit sampling methodology to use in a research investigation is that of random sampling. Random sampling is the method of drawing a portion or sample of a greater population so that each member of the population has an equal chance of being selected to participate in the research study. Without true randomization of the sample, measurement data, and the conclusions drawn thereof, are weakened, contaminated with error, and generally suspect. Should the data sampling methodology not be based on random selection representation to a greater population is subject to misrepresentation. Further,...

Other important considerations with respect to data collection is in knowing that errors of measurement are greatly reduced as sample size increases and the sample size must be large enough to reduce potential measurement error. The slightest movement in measurement error can oftentimes cause a change in the mathematical quotient of the required statistical value; thus producing results that may of may not be sufficient to accept or reject the testable null hypothesis.
#2 Student and Teacher Attitudes Toward School Uniforms

The American educational system has always coveted and encouraged individuality of all students. As such, dress has oftentimes symbolized a student's place within any given situation, including education. Putting aside that the clothing industry is a multibillion-dollar industry targeting the youth of America, clothing, nonetheless, remains the student's hallmark of individuality, socio-economic status, and peer affiliation. Although the debate wages on amongst students, teachers and parents as to the efficacy of equal dress for all students there exists both pros and cons with respect to school uniforms from the perspective of student and teacher.

The most significant feature of the school uniform debate is that of individual attitude. To force all students to wear a uniform is supported by both student and teacher for those who believe cultural diversity will be unappreciated and one's sense of individuality threatened. On the other hand proponents, both students and teachers, maintain that school uniforms will help to overcome attitudes governing cliques, gang associations, socio-economic stressors, and individual student isolationism. Still other students and teachers have the attitude that a school uniform would crush the "individual style" of students and thwart their…