dichotomous
(adjective)
dividing or branching into two pieces
Examples of dichotomous in the following topics:
-
Averages of Qualitative and Ranked Data
- Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as "sick" versus "healthy" when measuring health, "guilty" versus "innocent" when making judgments in courts, or "wrong/false" versus "right/true" when measuring truth value.
- On the other hand, non-dichotomous data consisting of a spectrum of values is also included, such as "completely agree," "mostly agree," "mostly disagree," and "completely disagree" when measuring opinion .
- An opinion survey is an example of a non-dichotomous data set on the ordinal scale for which the central tendency can be described by the median or the mode.
-
Leaf Structure and Arrangment
- Ginkgo biloba is an example of a plant with dichotomous venation.
- (c) The Ginkgo biloba tree has dichotomous venation.
-
Collecting and Measuring Data
- Examples of ordinal data include dichotomous values such as "sick" versus "healthy" when measuring health, "guilty" versus "innocent" when making judgments in courts, "false" versus "true", when measuring truth value.
- Examples also include non-dichotomous data consisting of a spectrum of values, such as "completely agree", "mostly agree", "mostly disagree", or "completely disagree" when measuring opinion.
-
Introduction
- Models used in this theory include Myers-Briggs Type Indicator (http://www.cpp-db.com/products/mbti/index.asp), which measures personality in dichotomous terms -- extroversion versus introversion, sensing versus intuition, thinking versus feeling, and judging versus perception, and the Keirsey Temperament Sorter(http://keirsey.com/), which classifies people as rationals, idealists, artisans, or guardians.
-
F-groups
- One approach would be to simply dichotomize the data (maybe at several different cut-points).
-
Algae
- Dichotomous branches are formed.
-
Comparing Two Populations: Paired Difference Experiment
- It is applied to $2 \times 2$ contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal ("marginal homogeneity").
-
Two-mode correspondence analysis
- To illustrate the application of correspondence analysis, we've dichotomized the political donor and initiatives data by assigning a value of 1 if an actor gave a donation either in favor or against an initiative, and assigning a zero if they did not participate in the campaign on a particular initiative.
-
Transforming data values
- Transform>Dichotomize is a tool that is useful for turning valued data into binary data.
- That is, if we have measured the strength of ties among actors (e.g. on a scale from 0 = no tie to 5 = strong tie), the "dichotomize" can be used to turn this into data that represent only the absence or presence of a tie (e.g. zero or one).
- Many of the tools in UCINET that are designed for binary data will arbitrarily dichotomize interval or ordinal data in ways that might not be appropriate for your problem.
- The "dichotomize" tool could be used to create the necessary matrices.
-
Structural holes
- As an alternative to losing the information that valued data may provide, the input data could be dichotomized (Transform>Dichotomize) at various levels of strength.