PSY-0031 Lecture Notes - Lecture 2: Pain Scale, Skewness, Bias Of An Estimator
25 Jan 2017
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The types are not mutually exclusive and may depend on context. Categorical (nominal) data - data that refer to category membership or to names. Ice cream flavors that fall into each category, e. g: We are mainly interested in frequencies (counts) or proportions of a sample or population. What percentage of girls born in 2016 were named leslie? . Ordinal (rank) data - data are ranked relative to each other. Used when we want to know when something is larger/faster/better/etc. Than something by how much else but not necessarily. A 4 rating is perceived more pain than a 2 rating. Discrete data - categorical (nominal) and ordinal (rank) data are types of discrete. Discrete data take a certain set of values that cannot be subdivided data. Flaw in classical statistics: texts assume that data can only belong to one discrete value. Problem when that assumption doesn"t hold, such as with racial identification. We must be more creative with our statistical approaches.
