{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T10:17:50Z","timestamp":1770286670968,"version":"3.49.0"},"reference-count":49,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T00:00:00Z","timestamp":1559520000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emeraldinsight.com\/page\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["INTR"],"published-print":{"date-parts":[[2019,6,3]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to enhance consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Correction for attenuation as originally applied by PLSc is modified to include <jats:italic>a priori<\/jats:italic> assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the efficacy of the modification, a Monte Carlo simulation is conducted.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>In the presence of population measurement error correlation, estimated parameter bias is generally small for original and modified PLSc, with the latter outperforming the former for large sample sizes. In terms of the root mean squared error, the results are virtually identical for both original and modified PLSc. Only for relatively large sample sizes, high population measurement error correlation, and low population composite reliability are the increased standard errors associated with the modification outweighed by a smaller bias. These findings are regarded as initial evidence that original PLSc is comparatively robust with respect to misspecification of the structure of measurement error correlations within blocks of indicators.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Introducing and investigating a new approach to address measurement error correlation within blocks of indicators in PLSc, this paper contributes to the ongoing development and assessment of recent advancements in partial least squares path modeling.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/intr-12-2017-0525","type":"journal-article","created":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T04:13:57Z","timestamp":1551932037000},"page":"448-463","source":"Crossref","is-referenced-by-count":26,"title":["Measurement error correlation within blocks of indicators in consistent partial least squares"],"prefix":"10.1108","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8902-3561","authenticated-orcid":false,"given":"Manuel E.","family":"Rademaker","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2110-9086","authenticated-orcid":false,"given":"Florian","family":"Schuberth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theo K.","family":"Dijkstra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2019071811172936500_ref001","volume-title":"Confirmatory Factor Analysis for Applied Research","year":"2015"},{"issue":"2","key":"key2019071811172936500_ref002","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1037\/1082-989X.10.2.206","article-title":"The correction for attenuation due to measurement error: clarifying concepts and creating confidence sets","volume":"10","year":"2005","journal-title":"Psychological Methods"},{"issue":"1","key":"key2019071811172936500_ref003","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1108\/IntR-11-2013-0236","article-title":"YouTube stickiness: the needs, personal, and environmental perspective","volume":"25","year":"2015","journal-title":"Internet Research"},{"issue":"2","key":"key2019071811172936500_ref004","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1287\/isre.14.2.189.16018","article-title":"A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion\/adoption study","volume":"14","year":"2003","journal-title":"Information Systems Research"},{"key":"key2019071811172936500_ref005","volume-title":"Applied Multiple Regression\/Correlation Analysis for the Behavioral Sciences","year":"2003"},{"key":"key2019071811172936500_ref006","unstructured":"Dijkstra, T.K. 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