What are the 3 Levels of Measurement and the 2 variables in any hypothesis statement?
Your question is somewhat vague in terms of the levels of measurement, but I'm assuming you're talking about scales of measurement. Sometimes these are categorized into three levels and sometimes they're categorized into four, as I'll explain below.
1. Nominal data are data that we assign numbers to, but those numbers are meaningful only for coding. They don't indicate anything about the relative performance or value of the scores. For example, if you had males and females in your study, you might code males as 1 and females as 2. Note that these codes are arbitrarily assigned; you could just as well code females as 1 and males as 2. The numbers are used only to identify groups.
2. Ordinal data are data that are ranked, so we know that one score is higher than another, but we don't know that the ...
Explains the difference between the four scales of measurement, including examples of each. Also explains the variables in a hypothesis and the basic difference between the variables in an experimental and correlational hypothesis statement.