PNB 3RM3 Lecture Notes - Lecture 12: Kelvin, Internal Consistency, Discriminant Validity

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Where differences between levels of data actually mean something. The difference in numbers has a relationship. But, like ordinal data, lack a true 0": ex: you can"t say that a person with an iq of 140 has double the amount of intelligence as a person who has an iq of 70, ratio. Whenever you"re dealing with time** you are dealing with ratio. Essentially comprises all info of the former 3, but with the addition that a 0" means something. Ex: measuring temperature on the kelvin scale: if something has 0 kelvins, this represents something; it means something has 0 kinetic energy. You always want to consider what type of scale you"re dealing with because it will determine what type of statistical analysis you are going to be able to do. You have to ensure that your operationalization is successful. But what is success: success is measured via reliability and validity.

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