Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Chi-Squared Test of Fit and Sample Size-A Comparison between a Random Sample Approach and a Chi-Square Value Adjustment Method
Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013), Centrum för forskning om barns och ungdomars psykiska hälsa (from 2013).ORCID-id: 0000-0001-9541-3673
2015 (engelsk)Inngår i: Journal of Applied Measurement, ISSN 1529-7713, Vol. 16, nr 2, s. 204-217Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Chi-square statistics are commonly used for tests of fit of measurement models. Chi-square is also sensitive to sample size, which is why several approaches to handle large samples in test of fit analysis have been developed. One strategy to handle the sample size problem may be to adjust the sample size in the analysis of fit. An alternative is to adopt a random sample approach. The purpose of this study was to analyze and to compare these two strategies using simulated data. Given an original sample size of 21,000, for reductions of sample sizes down to the order of 5,000 the adjusted sample size function works as good as the random sample approach. In contrast, when applying adjustments to sample sizes of lower order the adjustment function is less effective at approximating the chi-square value for an actual random sample of the relevant size. Hence, the fit is exaggerated and misfit under-estimated using the adjusted sample size function. Although there are big differences in chi-square values between the two approaches at lower sample sizes, the inferences based on the p-values may be the same.

sted, utgiver, år, opplag, sider
JAM press , 2015. Vol. 16, nr 2, s. 204-217
HSV kategori
Forskningsprogram
Samhällskunskap
Identifikatorer
URN: urn:nbn:se:kau:diva-36443PubMedID: 26075668OAI: oai:DiVA.org:kau-36443DiVA, id: diva2:822402
Tilgjengelig fra: 2015-06-16 Laget: 2015-06-16 Sist oppdatert: 2020-04-14bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

PubMed

Personposter BETA

Bergh, Daniel

Søk i DiVA

Av forfatter/redaktør
Bergh, Daniel
Av organisasjonen
I samme tidsskrift
Journal of Applied Measurement

Søk utenfor DiVA

GoogleGoogle Scholar

pubmed
urn-nbn

Altmetric

pubmed
urn-nbn
Totalt: 441 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf