ERIC Number: ED346135
Record Type: RIE
Publication Date: 1992-Apr
Reference Count: 0
Bootstrap Methods in the Principal Components Case.
Daniel, Larry G.
Some years ago, B. Efron and his colleagues developed bootstrap resampling methods as a way of estimating the degree to which statistical results will replicate across variations in sample. A basic problem in the multivariate use of bootstrap procedures involves the requirement that the results across resamplings must be rotated to best fit in a common factor space before any estimators are averaged. The use of factor analysis for this problem is demonstrated using the responses of 298 persons to items from the Bem Sex-Role Inventory from a study by B. Thompson (1988). The statistical computer program FACSTRAP is used to calculate bootstrap confidence intervals in factor analysis. Bootstrap methods are valuable because they: (1) lend credibility to the factor analysts' choice of the number of factors to extract and interpret; (2) provide evidence for increased confidence in the interpretation of factor meaning; and (3) demonstrate the importance of replication in the social sciences. There are 9 tables of analysis results and a 35-item list of references. (SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Bem Sex Role Inventory; Bootstrap Methods; Confidence Intervals (Statistics); FACSTRAP Computer Program; Principal Components Analysis; Research Replication
Note: Paper presented at the Annual Meeting of the American Educational Research Association (San Francisco, CA, April 20-24, 1992).