Empirically collecting data has to be one of the most reliable aspects of measurements. However, we need to remember that reliability does not imply validity. To be able to emperically measure something we have to be concerned with 2 aspects of measurement: Those aspects are reliability and valid measures. Today, we spoke about 3 ways to measure reliability, Test/Retest, Split-Half Reliability, and Inter- Radar Reliability. In my stats class with Dr. Topping, we spoke about research methods with an emphasis on research design and methodology. We were taught ways to analyze research concepts, designs and analysis. We were taught ways to test experimental and nonexperimental research based on ethical treatment plans. Also, we were taught to analyze statistical analysis through a a 2way Anova which means we analyzed the average based off the means; correlated groups which meant a relationship between the people.
Today, we learned how to analyze a difference between the mode, the median, and the mean. We were taught how as a researcher we need to know the difference between the 3 and also to know how one can be persuaded between all of these to believe different things. For example, if someone was taking the grades of a student and comparing them between a class average based on how connected the student felt regarding a professor this could all be different things. Unfortunately, if you only read the mean as opposed to the mode or the median there can be a huge outliar which would mean that the numbers being read are not correct. Also, it is difficult to differentiate between what would be empirical research (what you can test) and normative research (what one believes how the world should be.)
Operationalization would be a way to record potential ways we are interested in. My Anthropology professor mentioned this will be an extrememly important term in Anthropology as well as Sociology. I am looking forward to understanding more.
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