Political Science 30: Political Inquiry
... rates, I will look at data from 148 colleges in the United States. SAT Scores ...
... rates, I will look at data from 148 colleges in the United States. SAT Scores ...
This work is licensed under a . Your use of this
... Copyright 2009, The Johns Hopkins University and John McGready. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability rela ...
... Copyright 2009, The Johns Hopkins University and John McGready. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability rela ...
Multilevel 1
... • Ex: Just analyze individuals as the unit of analysis, ignoring clustering among schools • Include independent variables measured at the individual-level and other levels ...
... • Ex: Just analyze individuals as the unit of analysis, ignoring clustering among schools • Include independent variables measured at the individual-level and other levels ...
Easy Methods to Investigate Large Datasets Using
... Suppose you were interested in examining the variable for body mass index (BMI) for a study on obesity using MEPS data. The following code would produce both the histogram with smoothed histogram and normal histogram overlaid, and the probability plot. Options in parentheses following the KERNEL opt ...
... Suppose you were interested in examining the variable for body mass index (BMI) for a study on obesity using MEPS data. The following code would produce both the histogram with smoothed histogram and normal histogram overlaid, and the probability plot. Options in parentheses following the KERNEL opt ...
Regression Analysis Using JMP
... • Similar to simple linear regression, except now there is more than one explanatory variable, which may be continuous and/or categorical. • Model ...
... • Similar to simple linear regression, except now there is more than one explanatory variable, which may be continuous and/or categorical. • Model ...
Interaction (statistics)
In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.The presence of interactions can have important implications for the interpretation of statistical models. If two variables of interest interact, the relationship between each of the interacting variables and a third ""dependent variable"" depends on the value of the other interacting variable. In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.The notion of ""interaction"" is closely related to that of ""moderation"" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.