FRHD 3070 Lecture Notes - Lecture 6: Measuring Instrument, Confounding, Operational Definition

• School: University of Guelph
• Department: Family Relations and Human Development
• Course: FRHD 3070
• Professor: Carol- Anne Hendry

Document Summary

Predictor variable and the outcome variable: variable can be quantitative and qualitative, quantitative examples include age, height, weight, self-reported stress level. These examples are called quantitative because they measure some quantity: a qualitative variable measures differences in type rather than amount. Examples include anything we can categorize such as race, gender or color. Division of measures are usually not valid: e. g. , the number of television sets in your home could be 1 or 2 or 3, not. You either have one or you don"t: a discreet variable s a measure of how many", continuous variables measure how much, how long it takes us to get out of the class? (time) Involves the manipulation of a variable: nonexperimental research. Involves the stud of how variables are related. Types of scales: different types of scales can be used to properly measure a dependent variable, 4 types, nominal, classification of data into one of two or more categories, also known as categorical.