FRHD 3070 Lecture Notes - Lecture 6: Level Of Measurement, Confounding, Measuring Instrument
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Independent variable: the variables that is manipulated by the researcher: dependent variable: the variable in the study that is measured by the researcher confounding. 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. You either ha(cid:448)e a tele(cid:448)isio(cid:374) or you do(cid:374)"t: a dis(cid:272)reet (cid:448)aria(cid:271)le is a (cid:373)easure of (cid:862)ho(cid:449) (cid:373)a(cid:374)y. (cid:863) Differentiating among methods: experimental research involves the manipulation of a variable, nonexperimental research involves the study 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. Impossible to define any quantitative values or differences across categories: ordinal, classification of data into an order or rank of magnitude.