{"doi":"10.1007/bf02291170","title":"A Reliability Coefficient for Maximum Likelihood Factor Analysis","abstract":"<jats:p>Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a large sample of individuals or objects, the likelihood ratio statistic could indicate that an otherwise acceptable factor model does not exactly represent the interrelations among the attributes for a population. The reliability coefficient could indicate a very close representation in this case and be a better indication as to whether to accept or reject the factor solution.</jats:p>","journal":"Psychometrika","year":1973,"id":10138,"datarank":27.517520677194625,"base_score":8.89041055197428,"endowment":8.89041055197428,"self_citation_contribution":1.3335615827961422,"citation_network_contribution":26.18395909439848,"self_endowment_contribution":1.3335615827961422,"citer_contribution":26.18395909439848,"corpus_percentile":97.1,"corpus_rank":2021,"citation_count":7261,"citer_count":200,"citers_with_citation_signal":200,"citers_with_endowment":200,"datacite_reuse_total":0,"is_dataset":false,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"1973-03-01","authors":[{"id":26330,"name":"Charles Lewis","orcid":"0000-0002-7581-846X","position":1,"is_corresponding":false},{"id":85917,"name":"Ledyard R Tucker","orcid":null,"position":0,"is_corresponding":true}],"reference_count":13,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}