using System;

using System.Net;

using HtmlAgilityPack;

public class Program

{

    public static void Main()

    {       var html = @"<ul><li style=""list-style-type:none""><ul><li style=""list-style-type:none"">&nbsp;</li></ul></li></ul>

    <div>-Given the undertainty due to&nbsp;COVID-19 pandemic, it&#39;s not clear whether in-person trainings will be applicable geographically by the training time. 

    <br />&nbsp;</div><div>-The field of mediation has been moving to the causal mediation framework for quite some time, but this proposal does not incorporate any of the recent 

    work on causal mediation by Pearl, Van der Wheele, Imai, Imbens &amp; Rubin, etc.<br />&nbsp;</div>

    <div>-The proposed work seems to treat all model fit indices as equivalent, when they are not. No rationale is given for why global model fit indices are to be preferred for 

    testing mediation over local fit indices or statistical tests of specific parameter estimates.<br />&nbsp;</div><div>-Methodologists have recommended that sensitivity analyses 

    accompany mediation analyses for many years, but the proposed work does not mention sensitivity analysis or measurement error, or how the 2GMA model relates to these or other mediation topics. 

    The Journal of the American Medical Association has released an article title “A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies” (Lee et al., 2021) 

    that formalizes the need to discuss these and other issues when reporting mediation analyses. This publication came out after the submission of the current proposal so the authors could not be aware of this, 

    but most if not all of the topics in the JAMA paper have been recommended for years.<br />&nbsp;</div><div>-The authors propose to discuss more complex mediation models, but no mention of one of the most widely 

    used methods in educational research: hierarchical linear models (HLM), also known as multilevel modeling (MLM). In addition, no mention is made of studies with more than two levels of X, a continuous X, a 

    categorical M and/or Y variable, longitudinal models, etc.</div>";

                string parsedText = string.Empty;

               //for critique written with htmleditor, next part decodes html and removes tags with the HTML Agility pack

               string subcriterionCritiqueDecode = WebUtility.HtmlDecode(html);

               HtmlDocument doc = new HtmlDocument();

                              doc.OptionFixNestedTags = false;

                              doc.LoadHtml(subcriterionCritiqueDecode);

               parsedText = doc.DocumentNode.InnerText;

     Console.WriteLine(parsedText);

​

​

    }

}