ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Satura validitātes koeficients×Faktoru analīze skalas izstrādei×
NozarePsihometrijaPsihometrija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads19751947
AutorsCharles H. LawsheLouis Thurstone
TipsExpert panel content validity assessmentExploratory factor analysis methodology
PirmavotsLawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557
Citi nosaukumiCVR, Content validity index, Expert judgment content validity, Lawshe CVRExploratory factor analysis, EFA for scale development, Factorial structure analysis
Saistītās45
KopsavilkumsThe Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development.Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Content Validity Ratio · Factor Analysis for Scale Development. Izgūts 2026-06-17 no https://scholargate.app/lv/compare