{"id":7601,"date":"2022-02-01T01:44:44","date_gmt":"2022-02-01T01:44:44","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=7601"},"modified":"2022-02-10T05:24:36","modified_gmt":"2022-02-10T05:24:36","slug":"seminr-package-plotting-printing-exporting-results","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-plotting-printing-exporting-results\/","title":{"rendered":"SEMinR Package: Print, Export and Plot Results"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"7601\" class=\"elementor elementor-7601\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fk2xtvx elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fk2xtvx\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d4acc06\" data-id=\"d4acc06\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bee4950 elementor-widget elementor-widget-heading\" data-id=\"bee4950\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Print, Export, and Plot PLS Results in SEMinR <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3356c192 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3356c192\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-d79799c\" data-id=\"d79799c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-196fd403 elementor-widget elementor-widget-image\" data-id=\"196fd403\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/02\/SEMinR-Lecture-Series-Print-Export-and-Plot-Results.png\" class=\"attachment-full size-full wp-image-7795\" alt=\"SEMinR Lecture Series Print, Export, and Plot Results\" srcset=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/02\/SEMinR-Lecture-Series-Print-Export-and-Plot-Results.png 1280w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/02\/SEMinR-Lecture-Series-Print-Export-and-Plot-Results-300x169.png 300w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/02\/SEMinR-Lecture-Series-Print-Export-and-Plot-Results-1024x576.png 1024w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2022\/02\/SEMinR-Lecture-Series-Print-Export-and-Plot-Results-768x432.png 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-25405857\" data-id=\"25405857\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6d875749 elementor-widget elementor-widget-heading\" data-id=\"6d875749\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Learn to Print, Export, and Plot PLS Results<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1648ff07 elementor-widget-divider--separator-type-pattern elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1648ff07\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\" style=\"--divider-pattern-url: url(&quot;data:image\/svg+xml,%3Csvg xmlns=&#039;http:\/\/www.w3.org\/2000\/svg&#039; preserveAspectRatio=&#039;none&#039; overflow=&#039;visible&#039; height=&#039;100%&#039; viewBox=&#039;0 0 24 24&#039; fill=&#039;black&#039; stroke=&#039;none&#039;%3E%3Cpolygon points=&#039;9.4,2 24,2 14.6,21.6 0,21.6&#039;\/%3E%3C\/svg%3E&quot;);\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62b53f7a elementor-widget elementor-widget-text-editor\" data-id=\"62b53f7a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This series of lecture on SEMinR Package will introduce the SEMinR package.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3a227ee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3a227ee\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-8fe1f84\" data-id=\"8fe1f84\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c5d71e5 elementor-widget elementor-widget-heading\" data-id=\"c5d71e5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">SEMinR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-1a2a2f4\" data-id=\"1a2a2f4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-76e480e elementor-widget elementor-widget-text-editor\" data-id=\"76e480e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>There are four steps to specify and estimate a structural equation model using SEMinR:<\/p><ul><li>Loading and cleaning the data<\/li><li>Specifying the measurement models<\/li><li>Specifying the structural model<\/li><li>Estimating, bootstrapping, and summarizing the model<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1ac8097 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1ac8097\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-8f3d3b2\" data-id=\"8f3d3b2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-395b0fc elementor-widget elementor-widget-heading\" data-id=\"395b0fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review of the Steps<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-03ae387\" data-id=\"03ae387\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-eb6def5 elementor-widget elementor-widget-text-editor\" data-id=\"eb6def5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>When model estimation, evaluation, and analysis have been completed, it is often necessary to export the results generated in R to a report. It is recommended that tables and matrices are exported to .csv files.<\/li><li>The <b>write.csv() <\/b>function takes an object and writes it into a .csv file in the working directory of the project.<\/li><li>This function applies two arguments: <b><i>x <\/i><\/b>is the name of the object to be written to file, and <b><i>file <\/i><\/b>is the name of the file to be created and written to.<\/li><li>Thus, if we wish to report the bootstrapped paths from the previously discussed simple model, we would use the <b>write.csv() <\/b>function with argument <b><i>x <\/i><\/b><b>= <\/b><b>summary_boot$bootstrapped_loadings<\/b> and <b><i>file <\/i><\/b><b>= \u201cboot_loadings.csv\u201d<\/b>.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-10696ea elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"10696ea\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b1fb1e3\" data-id=\"b1fb1e3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aa8d1df elementor-widget elementor-widget-heading\" data-id=\"aa8d1df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Plots<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-d4447ed\" data-id=\"d4447ed\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-13077fc elementor-widget elementor-widget-text-editor\" data-id=\"13077fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>When plotting the results, use plot() function as shown in the figure below with command plot (summary_simple$reliability) to extract the reliability plot.<\/li><li>Next, we discuss how to generate high-quality figures from the SEMinR results.<\/li><li>First, we generate a sample plot for export from RStudio. To do this, we use a sub-object of <b>summary_simple<\/b> and plot the constructs\u2019 internal consistency reliabilities (i.e., Cronbach\u2019s alpha, rhoA, and rhoC) with<\/li><\/ul><p style=\"text-align: center;\"><b>plot(<\/b><b>summary_simple$reliability<\/b><b>)<\/b><\/p><ul><li>Once this plot displays in the plots tab in RStudio (Fig), click the <b>Export <\/b>dropdown list and select <b>Save as PDF <\/b>to bring up the save plot as a .pdf window. Select the size and output name and save the document. <\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-925ce5c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"925ce5c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-185ac6d\" data-id=\"185ac6d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6ece369 elementor-widget elementor-widget-heading\" data-id=\"6ece369\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Measurement and Structural Model in SEMinR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-0388645\" data-id=\"0388645\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48a2131 elementor-widget elementor-widget-text-editor\" data-id=\"48a2131\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>When plotting the results, use plot() function as shown in the figure below.<\/li><\/ul><p><img decoding=\"async\" class=\"aligncenter\" 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CTsMtGeffbako51aKs4aSemaRIISm+aee+4h554Ttj+BqQmVkydPLkJ4FR09b1IOb7bZZs0NN9xQvJm7p1G+5ppryv9qaVg95z\/60Y+KSG\/BQe1px\/jBD35Q\/j7LLLMUODWy1n4iMDkSqEtGlKyRwt1f6+da6fK6TkRl+z9v6WEIhEAITIuAsV+miquuuqo5\/vjjS1YLzfhunuV\/j8hLDlhpIRACIRAC7UtgekIlR0W2OGfIXXfdtasEBfuDYy87QrmSpZdeugQpsAfYwuxbf2cTs5F\/\/etfF3t9ai0Rle37jKRnIRACIRACITDiCEixeM455xSPKZMQkR4aT6pDDjmkWW655Yp42Zs0cSMOQjocAiHQLwLEE4LMH\/7wh+KhSdTQeG0ycHjxG0P8nqDCACJeEl5EgxEuRVSqpzjPPPOUz9bUsIywCRMmlIU1xpOIMAKmiEeiJzHn8ccfL+lheYP2VKjUJ+Md40oNQWKnaDT9rIKM93Xs616jkhOHvog0q6JQvyDmw6OSwLSESmL9xhtv3PW8Exz9fPnll5d6Yr5PnlGRwlLzSXMsgtiCArFx4sSJRajfcMMNy3fM8+u74Bjd\/2dzIiBUrrzyyiWFbFoIhEAIhEDnEjA\/e\/vtt4vD2JlnntnlsGqexvHK3Gzfffftd5aKziWcKw+BEAiBwSXQE6HSPiLpd9ttt39yOGRvsGGXWmqpYp+3NiInJ15pwznwbrfddlO9mAiVg3ufc\/QQCIEQCIEQ6EgCopEIk4QDwkKNsLBAuscee5Sc9WkhEAIh0J2A8YIBwxAyTkhXydghlBBGiIpERuIkY4gQKZWl36mRscYaaxSx5frrr2+WXXbZskDms0Qc4iFBUEpYQuRzzz1XUloar9TSIFQSC3sqVNZUrfr82muvFdFHSkzGmP5Vccd75yX+2Lo3f1OL0kJed8MuT0gItBLoqVDp+8BhiNAvulikrk2T6th7qVgJjp5Tzz1PaBGZxHqfv\/LKK0tU8pT+X1eh0ndJCte0EAiBEAiBEBCJb2517rnnNhdffHFXfW2ZMb761a82O+ywQ4n0TwuBEAiBEGgvAj0RKtWxv\/vuu4tQWRtHSPYru4F9wVG4OhkTHZV\/YLNzaHnssccax4hQ2V73Pr0JgRAIgRAIgY4gYLFe3axddtmlGK1VrLSo6Xe77757ERTSQiAEQqASIBISFKWLluZV6hgGDzFyWk3EpEhGAqUIRlFiM888c4nsXmCBBYoYwziS3vVLX\/pSSWupdh+RkPi5zjrrlMhvhlVPhUo1AaWSdV5RoATJ1mbME935ta99rUSeuR5eqDWy0t+lwvE3NSmTGjvfg+kRmJpQSSSX0cBzpL300kslsmWvvfYqAj4BckqCov\/RFibUgZXOae+99y7fH8K+hebtt9++fI+6twiV07tT+XsIhEAIdC4BjmX+v6hXxgmmNilgOcConyzLTloIhEAIhEB7EJieUKmX0rwKRrCOx77W9tlnn+Lsy2bn+LvWWmsVB1y2MRvE7zlOEirZ2KIqI1S2xz1PL0IgBEIgBEKg4wiIHqp1rk455ZQSEaVZnFcn7oADDij1S9JCIARCAAGCo3GDMOk9Ua+nAp7PiRKrY4zPcpioqVcdz3sbkbDuW89Xz+Nnn\/Nz95SXxjNGFtHznXfeKV6i9rVpNS3tF7\/4xWbRRRftqntpzHv++eebm2++uURfOu6MM85Y0mp+4xvf6PE15inpbAJTEioZ\/rfcckvxbp5rrrkKoMUXX7zZdNNNi0h+5JFHNnfddVd5Nj33Fop33HHHIpAT8o899thSN+akk04qz6x9iPcXXHBBc\/DBB08x\/XGEys5+DnP1IRACITA9Av6XcIARfcMxzNxJM\/\/hNCajBWea7vWTp3fc\/D0EQiAEQmDgCfREqGRLTJ48uZSUeOWVV5o\/\/\/nPZS1P6RLRlLfeemtxlOTM+9nPfrYZO3ZsES79TfkJDr4CGDirTK0l9evA39scMQRCIARCIARCoBsBqRFffvnl5uSTTy5p6KoAobYVD6wTTjih+dznPhduIRACIdCWBBhVFtnU7VNjg7FFnLQQV9O5SqlJdFx44YWL96hoytZIUMLojTfeWLb55puviJTzzjtvRMq2vOPt2akpCZWeQ6mMb7vttq7MBaKGRRWL8pVK+amnnirpXD2vnk2CpLTJnl3PNcFytdVWKxHF9rEvsdJxukcKIxOhsj2fj\/QqBEIgBNqNAJvP\/5nbb7+9pIP1v0XjwKWWmQwaSoNID5sWAiEQAiEwPAQ40hIhzf3HjBkzzU7ceeedxSZm2xrD6zoe4fL+++9vXn\/99ebTn\/50s8QSSxTBUmNzvPfee82f\/vSnYoNMrUWoHJ77n7OGQAiEQAiEQEcSePfdd5t77723Oeuss5pJkyYVBhZGedaqWcK7qua070hAuegQCIG2ISC9zRNPPFFqaUhfw\/giUGrEIcaZlJnGLyluGGnSWc8000xTvYaaKnbFFVfsqp\/ZNhecjrQ9gSkJlcPR6QiVw0E95wyBEAiBkUuA06roSpklOK1y+tKkF19hhRWa9ddfv2w9zaIxckmk5yEQAiEwOAQ4G6oZyUGxZgbicCiSvb7WEiTdf\/\/WW28V8ZGwyK5l57Jra7aWwenxPx81QuVQkc55QiAEQiAEQiAECgGetaKTbrjhhlK75Fe\/+lX5ffW62nbbbZtx48aFVgiEQAgMOQELaer72USpqdXH4NNq9KQoSanKeJwy3mabbbbmk5\/8ZI8W16rYKfoyLQR6SyBCZW+JZf8QCIEQCIF2ImBexQYkWEoTaG6libAZP358SSO47LLLtlOX05cQCIFRQIDwxr5juxHgupf3mNIlKq+gpiKbUJSh9SrNsZ555pmGqKakyAwzzFAcV0WMK3Ukq44ajp\/61KdKJKFyIaLI\/z\/27jNamrJKG3+9X17DKLoM4ygOM4ICCkgQkJx5AJEsOUh4yCA5ZyRLkJyRIDlIkgySREBF4uAoYxjD6DLMuBzXODMf\/v\/3d8t+KJvu03369Dmd9r1Wre5zurvCVVV37b2va+\/N\/+ML8jdVFvMqyxA5aJ2+p0zqVIZ1qGJmbg1SshlRWScsfdexamliP+GjVQQRideZHElUziTaua1EIBFIBBKBRCARmIOAsg9K1XFWb7755jmOqrKJStBpuq0sYo5EIBFIBKYbASpSJW84mJxRTt5\/\/dd\/zelnKYPygx\/8YDXvvPOWhUNp4YjmSARmCgHZKAImqg90EmCZrv1SGeEXv\/hFtfrqq5f7IkcikAgkAolAIjAZBDzLbr311kJWPvPMM3N+qjQ5snKDDTYogf4ciUAikAj0AgF+nTLUf\/M3f1N98pOfbCsw5fvpwxj9deeaa65KRRy\/RyrKWkSqEd0j+djEer4j+bRZMH\/JWnziiSeqn\/3sZ6UlAx9SVRK+5sYbb1zWr9zqtttuW6k8pue8GJgqPd3a+bLVVS+z7onWESKRwDa++\/a3v72IcVdeeeXSqmSmh+pFJ598cqm2tsACC8z05ltu7\/\/8P8D+IqvJkQgkAolAIpAIJAIjjcBrr71WXXPNNdU999wzxxCkTNtwww2rLbbYohh9yivmSAQSgUSglwhwLjmKFiSluYjKNRSm3BHOGiWphQKXg5nZkL08C7muySAgo1JfGArn6Cc5md\/34ruezwIx1OP60lCE50gEEoFEIBFIBLpB4NFHH61uvPHG6qGHHip2WIx111239PJeY401UhDTDbD5m0QgEfgrBPh1yEDE45prrlnsaGSkcqd8Qu\/D70NKEtU\/++yzhdDUT1cWOAKvUUBBdB89GrX44C8iQgla9YDXn1d1HhXDiPvuvPPOsj1zGzKRaGP99dcvhCfSUgzM75v1iO\/klMqKJP64+uqr25Kx9fXJ\/PRbcTfZo\/PNN18R7UZmZifb7sV3ZJnef\/\/91Z577tkXorTVMSRR2Yuzm+tIBBKBRCARSASGCAFG3FVXXVX6lygLZCh9QWFGcdaJ8m2IDjd3NRFIBPqAgNLTnFQL51D\/SSpXAwHDSVXaVSlXJV0RlBzSQVJ09gG23OSAIPDSSy+VQIlgwkwHDgIC2xU8UeJqlVVWSSHRgFwbuRuJQCKQCAwzAshKy+OPP176ghsyk7bccstqs802q5ZccsmSpZQjEUgEEoFuEGC\/ijfx99iv\/D32tIxHolU+op65SDqEIpJReVeCvAUXXLCQlirpLLXUUnM2T+hKZLH99ttXP\/jBDwrR+Mc\/\/rHMVcT2YlkIz1deeaVCfur9+Nvf\/raUV0WAyh60P\/YFKUgsSwgoa7PbjEo7x889\/vjj51Qsa5YLGOvn+xrvf\/\/7S6laOMgY9TqVfej2HNkmEnmbbbaZU2q3m3X1+jdJVPYa0VxfIpAIJAKJQCIwBAgwiE477bRSDlYfS8abwSDcb7\/9Ss+SueeeewiOJHcxEUgEBgUBzhmnkZoVKalUD\/UqJ4xzGBmUnEJOJOeUYpYz+a53vWtQDiP3IxEopaWUdOr3cE8JIlCeu4dyJAKJQCKQCCQCU0VAJo2ShfxABEE87\/SFmz17drXJJpuUDBuB\/ByJQCKQCEwGAf0pZTPOmjWr+HhEd+xZ\/qGYk\/cIRL4fG1evSfEolXS0I3ryySeLkHXxxRcvm0VyElcsuuiiRbz3ox\/9qIhc+ZPXX399ea98Kh\/0ueeeK79dbLHFJrPLk\/ouwtGxyNbk7zrWiKU1ihvjb8eAMJUFal8Jc8XjBmE4D\/ZtUEYSlYNyJnI\/EoFEIBFIBBKBPiCAREBYUr3JrmR4MSaVADr44INLKYp3vvOdfdiz3GQikAgMCwKISMSOUjoCXghK6liq1SinwyEV8EJQIic\/\/elPl1I9ORKBRCARSAQSgUQgEUgEZh4B\/cLPO++80r9S8J89ZyAD9tln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\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QkIAEJSEACEpCABCQgAQlIQAISkIAEqpGARmU1zqrnJAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIEyJ6BRWeYT5OFJQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoBoJaFRW46x6ThKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhIocwL\/H5svOpBAaNezAAAAAElFTkSuQmCC\" alt=\"\" \/><\/p><ul><li>In simple terms in the plot function provide, simple_model or boot_model as arguments. Both are the estimated models. simple_model is the estimated pls model whereas boot_model is the bootstrapped model.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-efd5a19 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"efd5a19\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7cd76c4\" data-id=\"7cd76c4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bae0eb0 elementor-widget elementor-widget-heading\" data-id=\"bae0eb0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review of the Steps<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-9cb2d32\" data-id=\"9cb2d32\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-64b6c10 elementor-widget elementor-widget-text-editor\" data-id=\"64b6c10\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Following is a brief review of the steps that have been discussed in SEMinR tutorials.\u00a0<\/p><ul><li>Load the Library &#8211; <b>library ()<\/b><\/li><li>Load the Data \u2013 <b>read.csv<\/b><\/li><li>Review the Data \u2013 <b>head()<\/b><\/li><li>Specify the Measurement Model \u2013 <b>constructs()<\/b><\/li><li>Specify the Structural Model \u2013 <b>relationships()<\/b><\/li><li>Estimate the Model \u2013 <b>estimate_pls()<\/b><\/li><li>Summarize the Results \u2013<b> summary()<\/b><\/li><li>Bootstrap the Model &#8211; <b>bootstrap_model()<\/b><\/li><li>Summarize the Results \u2013<b> summary()<\/b><\/li><\/ul><p>The next step is Plotting and Writing Results \u2013 plot() and Write.csv<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c83203a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c83203a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-71b1925\" data-id=\"71b1925\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-128dd38 elementor-widget elementor-widget-heading\" data-id=\"128dd38\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Complete Code<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-8ca537c\" data-id=\"8ca537c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a839bb9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a839bb9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e6baadd\" data-id=\"e6baadd\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f122875 elementor-widget elementor-widget-heading\" data-id=\"f122875\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Reference<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-39b2245\" data-id=\"39b2245\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1e7dc4b elementor-widget elementor-widget-text-editor\" data-id=\"1e7dc4b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"gs_citr\" tabindex=\"0\"><p>Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., &amp; Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook.<\/p><\/div><p>\u00a0<\/p><p>The tutorials on SEMinR are based on the mentioned book. The book is open source and available for download under this link.<\/p><p><a href=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-030-80519-7\">Download PDF<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0e774a4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0e774a4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-bf030ad\" data-id=\"bf030ad\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2884ec7 elementor-widget elementor-widget-heading\" data-id=\"2884ec7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Video Tutorial<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f2154ec\" data-id=\"f2154ec\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fb9ca41 elementor-widget elementor-widget-video\" data-id=\"fb9ca41\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/kwHaq9F1a-A&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-71b12dd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"71b12dd\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-050dc11\" data-id=\"050dc11\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-10e2105 elementor-widget elementor-widget-heading\" data-id=\"10e2105\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Additional SEMinR Tutorials <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-a7600f7\" data-id=\"a7600f7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a1a3231 elementor-widget elementor-widget-wp-widget-ccchildpages_widget\" data-id=\"a1a3231\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wp-widget-ccchildpages_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul><li class=\"page_item page-item-7498 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/an-introduction-to-r-and-r-studio\/\" class=\"menu-link\">An Introduction to R and R Studio<\/a><\/li>\n<li class=\"page_item page-item-7539 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/an-introduction-to-seminr-package\/\" class=\"menu-link\">An Introduction to SEMinR Package<\/a><\/li>\n<li class=\"page_item page-item-7645 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/create-project-load-and-inspect-the-data\/\" class=\"menu-link\">Create Project, Load, and Inspect the Data<\/a><\/li>\n<li class=\"page_item page-item-7938 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-an-introduction-to-evaluating-formative-measurement-model\/\" class=\"menu-link\">SEMinR Package: An Introduction to Evaluating Formative Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-8491 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-categorical-predictors\/\" class=\"menu-link\">SEMinR Package: Analyzing Categorical Predictor Variables<\/a><\/li>\n<li class=\"page_item page-item-7773 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-bootstrapping-pls-model\/\" class=\"menu-link\">SEMinR Package: Bootstrapping PLS Model<\/a><\/li>\n<li class=\"page_item page-item-7952 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-formative-measurement-model-convergent-validity-and-collinearity\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; Convergent Validity and Collinearity<\/a><\/li>\n<li class=\"page_item page-item-7971 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-indicator-weights\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; Step 3- Indicator Weights<\/a><\/li>\n<li class=\"page_item page-item-8007 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-formative-measurement-model-when-to-delete-formative-indicators\/\" class=\"menu-link\">SEMinR Package: Evaluating Formative Measurement Model &#8211; When to Delete Formative Indicators<\/a><\/li>\n<li class=\"page_item page-item-7850 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-reflective-measurement-model\/\" class=\"menu-link\">SEMinR Package: Evaluating Reflective Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-8024 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-structural-model\/\" class=\"menu-link\">SEMinR Package: Evaluating Structural Model<\/a><\/li>\n<li class=\"page_item page-item-8071 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-evaluating-structural-model-step-4-predictive-power-plspredict\/\" class=\"menu-link\">SEMinR Package: Evaluating Structural Model &#8211; Step 4: Predictive Power (PLSPredict)<\/a><\/li>\n<li class=\"page_item page-item-8176 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-higher-order-analysis-ref-for\/\" class=\"menu-link\">SEMinR Package: Higher Order Analysis &#8211; REF-FOR<\/a><\/li>\n<li class=\"page_item page-item-8145 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-higher-order-analysis-ref-ref\/\" class=\"menu-link\">SEMinR Package: Higher Order Analysis &#8211; REF-REF<\/a><\/li>\n<li class=\"page_item page-item-8417 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-how-to-solve-convergent-and-discriminant-validity-problems\/\" class=\"menu-link\">SEMinR Package: How to Solve Convergent and Discriminant Validity Problems<\/a><\/li>\n<li class=\"page_item page-item-8097 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-mediation-analysis\/\" class=\"menu-link\">SEMinR Package: Mediation Analysis<\/a><\/li>\n<li class=\"page_item page-item-8124 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-moderation-analysis\/\" class=\"menu-link\">SEMinR Package: Moderation Analysis<\/a><\/li>\n<li class=\"page_item page-item-7727 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-pls-estimation\/\" class=\"menu-link\">SEMinR Package: PLS Estimation<\/a><\/li>\n<li class=\"page_item page-item-7873 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-reflective-measurement-model-step-2-consistency-and-step-3-convergent-validity\/\" class=\"menu-link\">SEMinR Package: Reflective Measurement Model Step 2: Consistency and Step 3: Convergent Validity<\/a><\/li>\n<li class=\"page_item page-item-7902 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-reflective-model-discriminant-validity\/\" class=\"menu-link\">SEMinR Package: Reflective Measurement Model Step 4: Discriminant Validity<\/a><\/li>\n<li class=\"page_item page-item-7836 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-single-item-smartpls-comparison-and-summary-of-seminr\/\" class=\"menu-link\">SEMinR Package: Single Item, SmartPLS Comparison and Summary of SEMinR<\/a><\/li>\n<li class=\"page_item page-item-7669 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-specifying-measurement-model\/\" class=\"menu-link\">SEMinR Package: Specifying Measurement Model<\/a><\/li>\n<li class=\"page_item page-item-7691 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/seminr-lecture-series\/seminr-package-specifying-the-structural-model\/\" class=\"menu-link\">SEMinR Package: Specifying the Structural Model<\/a><\/li>\n<\/ul>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Print, Export, and Plot PLS Results in SEMinR Learn to Print, Export, and Plot PLS Results This series of lecture on SEMinR Package will introduce the SEMinR package. SEMinR There are four steps to specify and estimate a structural equation model using SEMinR: Loading and cleaning the data Specifying the measurement models Specifying the structural [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":7476,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-7601","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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