About: SmartPLS

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SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Users can estimate models with their data by using basic PLS-SEM, weighted PLS-SEM (WPLS), consistent PLS-SEM (PLSc-SEM), and sumscores regression algorithms. The software computes standard results assessment criteria (e.g., for the reflective and formative measurement models and the structural model, including the HTMT criterion, bootstrap based significance testing, PLSpredict, and goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, higher-order models, importance-performance map analysis, latent class segmentation, mediation, moderation, measurement invariance assessment, m

Attributes	Values
rdf:type	Thing software schema:CreativeWork work wikidata:Q386724 Software
rdfs:label	SmartPLS (ja) SmartPLS (en)
rdfs:comment	SmartPLS はドイツの構造方程式モデリングソフトウェアである。グラフィカルユーザインタフェースでPLSパスモデルを作ることが出来る。Javaのプラットフォームで作られているので Windowsや Mac上で動作する。 (ja) SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Users can estimate models with their data by using basic PLS-SEM, weighted PLS-SEM (WPLS), consistent PLS-SEM (PLSc-SEM), and sumscores regression algorithms. The software computes standard results assessment criteria (e.g., for the reflective and formative measurement models and the structural model, including the HTMT criterion, bootstrap based significance testing, PLSpredict, and goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, higher-order models, importance-performance map analysis, latent class segmentation, mediation, moderation, measurement invariance assessment, m (en)
foaf:name	SmartPLS (en)
foaf:homepage	https://www.smartpls.com/
name	SmartPLS (en)
foaf:depiction
dcterms:subject	Data analysis software 2005 software Java platform software
Wikipage page ID	45002547 (xsd:integer)
Wikipage revision ID	1102814373 (xsd:integer)
Link from a Wikipage to another Wikipage	Romanian language Multivariate analysis Partial least squares path modeling Persian language Regression validation Urdu Proprietary software Estimation theory Christian M. Ringle English language French language German language Arabic language Macintosh operating system Malay language Statistics Structural equation modeling Partial least squares regression WarpPLS Data analysis software Principal component analysis Regression analysis Italian language Japanese language Java (programming language) 2005 software Java platform software Chinese language Polish language Portuguese language Spanish language Indonesian language Korean language Microsoft Windows Operating systems dbr:SmartPLS_GmbH
Link from a Wikipage to an external page	https://www.smartpls.com/ https://www.smartpls.com/downloads
sameAs	SmartPLS SmartPLS SmartPLS SmartPLS SmartPLS
dbp:wikiPageUsesTemplate	dbt:Infobox_software dbt:Reflist dbt:Short_description dbt:Start_date dbt:Start_date_and_age dbt:Statistical_software
thumbnail	wiki-commons:Special:FilePath/SmartPLS_Logo.png?width=300
author	Christian M. Ringle, Sven Wende, Jan-Michael Becker (en)
developer	dbr:SmartPLS_GmbH
genre	Multivariate analysis Partial least squares path modeling Statistics Structural equation modeling
language	Romanian language Persian language Urdu English language French language German language Arabic language Malay language Italian language Japanese language Chinese language Polish language Portuguese language Spanish language Indonesian language Korean language
latest release date	2021-12-20 (xsd:date)
latest release version	https://www.smartpls.com/downloads
license	Proprietary software
logo	SmartPLS Logo.png (en)
logo size	300 (xsd:integer)
operating system	Windows and Mac (en)
platform	Java (programming language)
website	https://www.smartpls.com/
has abstract	SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Users can estimate models with their data by using basic PLS-SEM, weighted PLS-SEM (WPLS), consistent PLS-SEM (PLSc-SEM), and sumscores regression algorithms. The software computes standard results assessment criteria (e.g., for the reflective and formative measurement models and the structural model, including the HTMT criterion, bootstrap based significance testing, PLSpredict, and goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, higher-order models, importance-performance map analysis, latent class segmentation, mediation, moderation, measurement invariance assessment, multigroup analysis).Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac. (en)

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