Answer to Question #235879 in Management for Anna

Question

1. Why should your data gathering instrument undergo reliability testing and validation?
2. What is the importance of choosing an appropriate sampling design for the population used in your study?
3. Suppose you wanted to determine the perception of students in the University of Santo Tomas regarding the visit of Pope Francis in the Philippines last January 15-19, 2015. If UST has a population of 9, 250
students, using random sampling method, how many samples will be taken from this university using the formula set at .05 degree of error?
4. If there are 5,400 students in University ABC, 1,425 in the College of Nursing, 865 in the College of Medicine, 1,250 in College of Management, and 1,860 in the College of Education how many will be the samples using the stratified sampling design?

Answer 1

1. Validity and reliability are two important factors to consider when developing and testing any instrument (e.g., content assessment test, questionnaire) for use in a study. Attention to these considerations helps to insure the quality of your measurement and of the data collected for your study.
2.  Sampling yields significant research result since it is the representation of the entire population study. Sampling saves money by allowing researchers to gather the same answers from a sample that they would receive from the population. Non-random sampling is significantly cheaper than random sampling, because it lowers the cost associated with finding people and collecting data from them.