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The structural model with PLS estimator:
Nur Anisah Mohamed
;
Ayed R. A. Alanzi
;
Azlinna Noor Azizan
...
doi:10.1371/journal.pone.0290376.g004. , 2024
Link:
https://doi.org/10.1371/journal.pone.0290376.g004
RT Journal T1
The structural model with PLS estimator
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25048975&Exemplar=1&LAN=DE A1 Nur Anisah Mohamed A1 Ayed R. A. Alanzi A1 Azlinna Noor Azizan A1 Suzana Ariff Azizan A1 Nadia Samsudin A1 Hashem Salarzadeh Jenatabadi YR 2024 K1 Biotechnology K1 Ecology K1 Science Policy K1 Plant Biology K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 mean absolute error K1 generate better goodness K1 demolition waste management K1 six independent variables K1 structural equation modeling K1 extended tpb ) K1 three control variables K1 six main variables K1 one dependent variable K1 involving bayesian estimator K1 dependent variable K1 research variables K1 three correlations K1 one mediator K1 modeling based K1 main objective K1 extended theory K1 bayesian estimator K1 bayesian estimators K1 primary estimator K1 best estimator K1 variation based K1 significant relationships K1 significant relations K1 researchers using K1 rarely attained K1 planned behaviour K1 pattern shows K1 maximum likelihood K1 four correlations K1 different estimators K1 deep analysis K1 data analysis K1 among effectiveness K1 8 % K1 2 % JF doi:10.1371/journal.pone.0290376.g004 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0290376.g004 DO https://doi.org/10.1371/journal.pone.0290376.g004 SF ELIB - SuUB Bremen
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