Using Commonly Available Software For Bootstrapping In Both Substantive And Measurement Analyses

Abstract

Bootstrap analysis, both for nonparametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational and psychological research. Procedurally, however, it is often quite a challenge to implement bootstrap analysis because it is typically not an automated program option in statistical software programs. This article uses a few heuristic analytical examples to show how bootstrap analysis can be accomplished through the use of some commonly available statistical software programs (AMOS, EQS, SAS). Until bootstrap analysis becomes an automated program option in standard statistical software programs (e.g., SPSS, SAS), quantitative researchers may have to make do with these or other creative approaches to accomplish bootstrap analysis in their research.

Cite this work

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

Stored only when both papers are in the corpus — 77 citations exist upstream.

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