Authentic research is based on the foundational aspects of the scientific method. This process infers the direct inclusion of validity and reliability in the collection of data. Although validity and reliability are both a reflection of data acquisition, the intent of each component varies. Validity refers to the integrity of the experimental variables. In the research design, potential biases, control factors, and appropriate methodology must all be considered for data analysis to be considered valid (American College of Education, 2019). Alternatively, reliable data is achieved through the replication of the design process to produce the same results. Using identical frameworks set forth by the initial project will yield the same results in reliable data collection.
American College of Education. (2019). Validity and reliability. Part 1 transcript. Retrieved from https://ace.instructure.com/courses/1690867/files/97776552module_item_id=22608173&fd_cookie_set=1.
Do you use graphs or other graphic organizers to monitor your students' grades?
Very helpful graphic. I wonder why the arrow is not two-way between Constituents and Feedback.