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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.