KnowledgeTrend Research Network
KnowledgeTrend JournalFunding & Careers
KnowledgeTrend
☰ Menu
HomePapersResearchersResearch LabsProjectsGroupsFunding & CareersScholarshipsBlogJournalTools
Sign inCreate account
Advanced Statistical Methods and Models, Optimal Experimental Design Methods

Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics

Journal of Marketing Research · 1981

CClaes Fornell·DDavid F. Larcker
0 KT citations29 views0 saves0 references

Abstract

Claes Fornell, David F. Larcker, Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics, Journal of Marketing Research, Vol. 18, No. 3 (Aug., 1981), pp. 382-388

Research topics

Advanced Statistical Methods and ModelsOptimal Experimental Design Methods
Continue discovering

Related research

Simultaneous Inference in General Parametric Models

Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-spec…

Coefficient Alpha and the Internal Structure of Tests

A general formula ( α ) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test. α is therefore an …