Differentiating categorical and dimensional data with taxometric analysis: are two variables better than none?

@article{Ruscio2011DifferentiatingCA,
  title={Differentiating categorical and dimensional data with taxometric analysis: are two variables better than none?},
  author={J. Ruscio and G. Walters},
  journal={Psychological assessment},
  year={2011},
  volume={23 2},
  pages={
          287-99
        }
}
Taxometric analyses have proven helpful for distinguishing categorical and dimensional data. Many taxometric procedures require at least 3 variables for analysis. What if a construct is defined by only 2 conceptually nonredundant characteristics or a data set contains only 2 empirically nonredundant variables? In Study 1, we performed extensive simulations to determine whether informative results can be obtained when only 2 variables are available for taxometric analysis. The mean above minus… Expand
20 Citations

Figures and Tables from this paper

Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables
  • 45
  • PDF
Direct and Conceptual Replications of the Taxometric Analysis of Type A Behavior
  • 3
A contemporary taxometric analysis of the latent structure of self-monitoring.
  • 11
Dve kategorije ili jedna dimenzija: taksometrijske analize modaliteta rizičnog ponašanja
  • Highly Influenced
...
1
2
...

References

SHOWING 1-10 OF 49 REFERENCES
To sum or not to sum: taxometric analysis with ordered categorical assessment items.
  • 67
  • PDF
Differentiating Categories and Dimensions: Evaluating the Robustness of Taxometric Analyses
  • 51
  • PDF
Applying the Bootstrap to Taxometric Analysis: Generating Empirical Sampling Distributions to Help Interpret Results
  • 185
  • PDF
Assigning Cases to Groups Using Taxometric Results
  • 46
The Maxslope Taxometric Procedure: Mathematical Derivation, Parameter Estimation, Consistency Tests
  • W. Grove
  • Psychology, Medicine
  • Psychological reports
  • 2004
  • 19
  • PDF
Comparing the relative fit of categorical and dimensional latent variable models using consistency tests.
  • 126
  • PDF
Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: resolving the mode problem.
  • 48
  • PDF
Simple regression-based procedures for taxometric investigations.
  • 50
...
1
2
3
4
5
...