In SEM, each observed ordinal variable is generated by an underlying continu-ous variable assumed to be normally distributed. Thus, FIML estimation requires the evaluation of normal probabilities of dimension equal to the number of the ob-served ordinal variables (Lee et al., 1990a; Poon & Lee, 1987). This renders FIML Variables represent storage locations. Every variable has a type that determines what values can be stored in the variable. C# is a type-safe language, and the C# compiler guarantees that values stored...
Ordinal data mixes numerical and categorical data. The data fall into categories, but the numbers placed on the categories have meaning. For example, rating a restaurant on a scale from 0 (lowest)...Structural equation modeling (SEM) is a collection of sta-tistical techniques that allow a set of relationships between one or more independent variables (IVs), either contin-uous or discrete, and one or more dependent variables (DVs), either continuous or discrete, to be examined. Both IVs and DVs can be either factors or measured variables.
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