Welcome to our 2nd threaded discussion! All right, this week we\'ll discuss the

Question

Welcome to our 2nd threaded discussion! All right, this week we'll discuss the notion of measurement. Long story short, measurement is the process by which we assign values to units of analysis to measure the quantity of an attribute. I know, I know, that is a bit of a nerdy definition, so let me break it down. In any research project, we have some sort of "unit of analysis" that is being studied - it might be individuals, organizations, or some other thing, or even one thing measured over time (for time series data). For example, suppose we are studying student performance. Suppose our dependent variable is a student’s GPA. Suppose our independent variables are 1) Hours studied per week, 2) Hours worked per week, 3) Intelligence, 4) Hours spent socializing per week, 5) Major, 6) Family obligations, 7) School, etc. (by etc., I mean to include any other independent variable that we believe affects student performance). Now that we have our dependent variable and now that we have our main independent variables that we believe affect our dependent variable (or outcome variable), we must perform measurements. In other words, for each of the variables listed above, we need real data... So, let's start our threaded discussion this week as follows: Considering the example above, what are "candidates" for measurements? In other words, how would you recommend measuring the dependent variable? How about all the independent variables? [ Answer should be minimum 300 words]

Explanation / Answer

STUDENTS GPA is measured on ordinal scale of measurement. ordinal level of measurement describes variables that can be ordered or ranked in some order of importance.

Hours studied per week, Hours worked per week and Hours spent socializing per week is measured on ratio scale of interval. Ratio scales have equal differences between scale values and have equal quantitative meaning. They also have a true zero point. A true zero point means that a value of zero on the scale represents zero quantity of the construct being assessed.

Major, Family obligations, School are measured on nominal scale of measurement. The nominal level of measurement describes variables that are categorical in nature.

Intelligence is measured on interval scale of measurement, The interval level of measurement has equal differences between scale values and equal quantitative meaning. It does not have a true zero point. A true zero point means that a value of zero on the scale represents zero quantity of the construct being assessed.

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