Classify changes over time using the ISD-system introduced by Galtung (1969).

Calculates concentration and dispersion in ordered rating scales. It implements various measures of concentration and dispersion to describe what researchers variably call agreement, concentration, consensus, dispersion, or polarization among respondents in ordered data. It also implements other related measures to classify distributions. In addition to a generic city-block based concentration measure and a generic dispersion measure, the package implements various measures, including van der Eijk's (2001) <DOI: 10.1023/A:1010374114305> measure of agreement A, measures of concentration by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, Reardon, and Garcia-Montalvo and Reynal-Querol. Furthermore, the package provides an implementation of Galtungs AJUS-system to classify distributions, as well as a function to identify the position of multiple modes.

Didier Ruedin

agrmt

Calculate Concentration and Dispersion in Ordered Rating Scales

isd function

<dl> <dt>V</dt>
<dd>A vector with length 3</dd> <dt>tolerance</dt>
<dd>Specify how similar values have to be to be treated as different (optional). Differences smaller than or equal to the tolerance are ignored.</dd></dl>

Arguments

Author

Classify changes over time — isd

<dl>

 <dt>V</dt>
<dd>A vector with length 3</dd>

 <dt>tolerance</dt>
<dd>Specify how similar values have to be to be treated as different (optional). Differences smaller than or equal to the tolerance are ignored.</dd>

</dl>

isd: Classify changes over time

Description

Usage

Value

Arguments

Author

Details

References

See Also