Proportion of general factor variance in a hierarchical multiple-component measuring instrument: A note on a confidence interval estimation procedure

Tenko Raykov*, Richard E. Zinbarg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A confidence interval construction procedure for the proportion of explained variance by a hierarchical, general factor in a multi-component measuring instrument is outlined. The method provides point and interval estimates for the proportion of total scale score variance that is accounted for by the general factor, which could be viewed as common to all components. The approach may also be used for testing composite (one-tailed) or simple hypotheses about this proportion, and is illustrated with a pair of examples.

Original languageEnglish (US)
Pages (from-to)193-207
Number of pages15
JournalBritish Journal of Mathematical and Statistical Psychology
Volume64
Issue number2
DOIs
StatePublished - May 2011

ASJC Scopus subject areas

  • Statistics and Probability
  • Arts and Humanities (miscellaneous)
  • Psychology(all)

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