Content area

Abstract

Translate

Developed by B. Efron (1979) and his colleagues (P. Diaconis and B. Efron, 1983), bootstrap methods have the goal of creating an empirical sampling distribution that can be used to test statistical hypotheses, estimate standard errors, and create confidence intervals. Bootstrapping methods offer a unique and effective method for testing the stability and replicability of results. This paper explains the bootstrap method of exploring replicability internally, including a heuristic example applying bootstrap methods to a confirmatory factor analysis, using the Statistical Package for the Social Sciences and AMOS. (Contains 1 figure, 5 tables, and 13 references.) (Author/SLD)

Details

1007399
ERIC Subject
Computer Software;
Heuristics;
Statistical Analysis;
Statistical Distributions
Identifier / keyword
AMOS Computer Program; Bootstrap Methods; Statistical Package for the Social Sciences
Title
Using Bootstrap Methods with Popular Statistical Programs
Author
Guthrie, Abbie
Publication title
ERIC, Resources in Education (RIE)
Pages
25
Number of pages
25
Publication date
February 2001
Source type
Report
Summary language
English
Language of publication
English
Document type
Report, Speech/Lecture
Subfile
ERIC, Resources in Education (RIE)
Accession number
ED450149
ProQuest document ID
62352144
Document URL
https://www.proquest.com/reports/using-bootstrap-methods-with-popular-statistical/docview/62352144/se-2?accountid=208611
Last updated
2024-04-20
Database
Education Research Index