Confidence Regions for INDSCAL using the Jackknife and Bootstrap Techniques

Sharon Lawner Weinberg · J. Douglas Carroll · Harvey S. Cohen

53 citations0/0 files storedPsychometrika

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Statistical Methods and Applications Advanced Statistical Methods and Models

Abstract

Bootstrap and jackknife techniques are used to estimate ellipsoidal confidence regions of group stimulus points derived from INDSCAL. The validity of these estimates is assessed through Monte Carlo analysis. Asymptotic estimates of confidence regions based on a MULTISCALE solution are also evaluated. Our findings suggest that the bootstrap and jackknife techniques may be used to provide statements regarding the accuracy of the relative locations of points in space. Our findings also suggest that MULTISCALE asymptotic estimates of confidence regions based on small samples provide an optimistic view of the actual statistical reliability of the solution.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 53 citations exist upstream.

References

1969The Handbook of Social Psychology 1958Theory and Methods of Scaling 1959Theory and Methods of Scaling.1983Introduction to Multidimensional Scaling and Its Applications

Cited by

1990Assessing Sampling Variation Relative to Number-of-Factors Criteria

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.