Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) NCA identifies necessary (but not sufficient) conditions in datasets. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or input) is necessary but not sufficient for a (desired) level of y (e.g. good performance or output).
|Author||Jan Dul <firstname.lastname@example.org>|
|Date of publication||2016-05-18 17:29:47|
|Maintainer||Govert Buijs <email@example.com>|
|License||GPL (>= 3)|
ceilings: a set of all available ceiling techniques
line.colors: a set defining the line colors for the plots
line.types: a set defining the line types for the plots
line.width: parameter defining the width of the lines in the plots
nca: Run a basic NCA analyses on a data set
nca_analysis: Run NCA analyses on a data set
nca.example: NCA example data with 2 independent and 1 dependent variables
nca_output: display the result of the NCA analysis
NCA-package: Necessary Condition Analysis
point.type: parameter defining the plotting symbol in the plots
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