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闪开!都闪开!GMAT ESR福利来啦!

申友 2021-10-13 22:01:38 浏览量(305)

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Report),顾名思义是GMAC官方提供的一份关于GMAT考试成绩的分析报告,接下来学姐就来介绍一下ESR包括什么、ESR是什么样子、怎么购买ESR、ESR一些福利、怎么使用ESR、ESR怎么分析等。"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"data-type":"leaf"},""]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"ESR提供包含:"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(1)成绩详情(总分、各单项)"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(2)排名占比(总分、各单项)"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(3)答题时间(单项、整体)"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(4)答题正确率变化"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(5)升降库情况"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(6)多维度的考试表现分析"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"data-type":"leaf"},""]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"直白点来说,就是花费24.95刀看一下,你为什么考出了这个成绩!"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"一份ESR可以帮助考生直观地了解自己的备考成果,薄弱点所在及考试发挥情况。从而科学有效地调整备考计划,高效地完成接下来的考试安排,为下一次的考试出分打下科学的基础,所以称之为备考神器!"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"想必大家都对ESR有一定的了解了,作为杀G届的福利大王,北京申友GMAT联手GMAT考试官方GMAC,为大家提供了ESR购买福利优惠!"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"data-type":"leaf"},""]]],["h5",{"rPr":{"fonts":{"hint":"eastAsia"}},"styleId":"4"},["span",{"data-type":"text"},["span",{"fonts":{"hint":"eastAsia"},"data-type":"leaf"},"▍ESR福利"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"1.福利详情 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"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"详情见最后的联系方式"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"3.预约分析"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"下载pdf版ESR后,你还有机会获得专业老师的免费ESR分析服务。"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"data-type":"leaf"},""]]],["h5",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"},"styleId":"4"},["span",{"data-type":"text"},["span",{"fonts":{"hint":"eastAsia"},"data-type":"leaf"},"▍GMAT ESR的几大用处:"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"1. 了解你的基本成绩情况,方便下一步针对提升;"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"2. 了解各部分知识点用时时长,以及对应的知识点掌握情况,比如可以了解verbal的SC、RC、CR的掌握情况,进而了解考点的正确率,比如了解SC的Grammar和Communication掌握情况。"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"3. 了解自己的Pace是否需要调整,又该如何调整,在平常模考和做题时,可以让自己多加控制和规范,达到最佳状态。"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"4. 知道升降库情况,了解自己做错题的高正确率集中在哪个阶段,高错误率又集中在哪个阶段,进而查漏补缺,强化对知识点的了解。"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"如果细致划分下去,GMAT ESR还有更多用途,就如同现在的大数据一样,数据摆在那里,用不同的分析方法可以得出不一样的结论。而每一个人看到ESR也一定会有不一样的结果,所以关键还是看你如何利用ESR。"]]],["h5",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"},"styleId":"4"},["span",{"data-type":"text"},["span",{"fonts":{"hint":"eastAsia"},"data-type":"leaf"},"▍ESR使用方法  "]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(1)登录GMAT官网(https://www.mba.com/china),登录GMAT账号"]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(2)点击My GMAT and Scores "]]],["p",{"rPr":{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt"}},["span",{"data-type":"text"},["span",{"fonts":{"ascii":"微软雅黑","cs":"微软雅黑","eastAsia":"微软雅黑","hAnsi":"微软雅黑","hint":"eastAsia"},"sz":9,"szUnit":"pt","data-type":"leaf"},"(3)找到Past Exams,你想要购买的当次GMAT考试,点击

考GMAT的同学想必都对ESR不陌生,所谓ESR即GMAT增强成绩单(Enhanced Score Report),顾名思义是GMAC官方提供的一份关于GMAT考试成绩的分析报告,接下来学姐就来介绍一下ESR包括什么、ESR是什么样子、怎么购买ESR、ESR一些福利、怎么使用ESR、ESR怎么分析等。


ESR提供包含:

(1)成绩详情(总分、各单项)

(2)排名占比(总分、各单项)

(3)答题时间(单项、整体)

(4)答题正确率变化

(5)升降库情况

(6)多维度的考试表现分析


直白点来说,就是花费24.95刀看一下,你为什么考出了这个成绩!

一份ESR可以帮助考生直观地了解自己的备考成果,薄弱点所在及考试发挥情况。从而科学有效地调整备考计划,高效地完成接下来的考试安排,为下一次的考试出分打下科学的基础,所以称之为备考神器!

想必大家都对ESR有一定的了解了,作为杀G届的福利大王,北京申友GMAT联手GMAT考试官方GMAC,为大家提供了ESR购买福利优惠!


▍ESR福利

1.福利详情 



官网原价30.00美元一份的ESR(实时汇率折合人民币206元人民币),现在只需花费156元人民币即可获得,剩下的部分,北京申友GMAT给大家补贴了!

2.参与方式 

详情见最后的联系方式

3.预约分析

下载pdf版ESR后,你还有机会获得专业老师的免费ESR分析服务。


▍GMAT ESR的几大用处:

1. 了解你的基本成绩情况,方便下一步针对提升;

2. 了解各部分知识点用时时长,以及对应的知识点掌握情况,比如可以了解verbal的SC、RC、CR的掌握情况,进而了解考点的正确率,比如了解SC的Grammar和Communication掌握情况。

3. 了解自己的Pace是否需要调整,又该如何调整,在平常模考和做题时,可以让自己多加控制和规范,达到最佳状态。

4. 知道升降库情况,了解自己做错题的高正确率集中在哪个阶段,高错误率又集中在哪个阶段,进而查漏补缺,强化对知识点的了解。

如果细致划分下去,GMAT ESR还有更多用途,就如同现在的大数据一样,数据摆在那里,用不同的分析方法可以得出不一样的结论。而每一个人看到ESR也一定会有不一样的结果,所以关键还是看你如何利用ESR。

▍ESR使用方法  

(1)登录GMAT官网(https://www.mba.com/china),登录GMAT账号

(2)点击My GMAT and Scores 

(3)找到Past Exams,你想要购买的当次GMAT考试,点击<ENTER ESR CODE

(4)输入Code码-点击APPLY,邮箱就会收到ESR邮件了

▍ESR怎么分析?
01总体分数

付完钱购买报告后,会收到官方爸爸发来的PDF文件。首先,我们可以在左侧看到自己的总分以及各部分小分。



这位同学的总分为630分,其中,Verbal分数为27分,Quantitative分数为49分,综合推理Integrated Reasoning为2分,AWA写作分数还没有出分,在正式成绩单出后才能看到写作分数。

在每项分数后都有一个条状图,显示的是一个Percentile Ranking,指的是近3年所有参加考试的成绩中,你的成绩所处于的Level。



比如这个Verbal为27分,后面显示的是46th,就是说27分这个成绩在近3年成绩排名中打败了46%的人。

这个百分数值越高,分数就越高。类似于360每天弹出的:你的电脑开机速度比99%的用户快。

此外,我们还能看出考试时各个部分的时间分配。分数图表下方是、显示的是近3年来所有考生的平均时间分配条形图,可以跟自己的时间做参考。



一般来说,我们日常备考时,都会对自己的答题时间做好估量,比如语文平均答题时间就是65mins/36题,每题约1分48秒。数学62mins/31题,每题约2mins。


02语文部分分析

我们再看看Verbal部分的具体分析:



我们知道GMAT语文包含3个单项:句子改错、逻辑、阅读。这里也会展示单项的Percentile Rankings,跟上面总分的排名解读一样。所以,这里是最直观的的展示你的3个单项程度好坏的依据。



上述条状图展示,逻辑的是65%,属于较高水平,阅读只有22%,就是很低的水平,语法50%就属于中等水平了。

在答题时间上也能看出总时间分配、和3个单项的时间分配。一般来说,句子改错的平均答题时间,要远远少于平均的1分48秒,而逻辑一般都会略多于平均时间,阅读基本与平均时间持平。



如果某一个单项花费时间较多,势必会影响到其他两部分的答题时间,尤其是阅读部分,由于篇章理解与句子改错的句子理解时间花费不同,很多同学在阅读部分会时间分配不合理,导致文章看不好,做题整篇的受影响。


下图显示的是3个单项的句子能力分析:



主要包括:逻辑部分的分析批判能力、论证结构及计划相关的能力;阅读的隐含信息推理能力、事实细节信息理解能力;句子改错的语法基础能力、语义理解能力等。


03考场答题表现


我们还可以从这份报告中看到自己在考场中的发挥情况:



能看出整个语文部分划分为4部分,每个部分有答题的正确率、难度、和时间的分配,尤其是正确率部分,能看出是否存在调库的情况。

一般在第一个Quarter没有表现很好的话,后面的难度就不太容易再上去,所以一定要开始稳住自己的时间和正确率。

难度曲线也能看出这位同学始终在中等难度的题目上作答,没有机会进入较难题库,分值也相应不会太高。


最后是一个整体语文部分的汇总版文字解读:



其中比较重要的,就是每个语文单项的对应分数,比如逻辑65%的排名,给出的分数是34分,而阅读是22%给的分数是18分,句子改错50%给的是18分,总体分值是46th,是27分。

所以该同学再备考的重点按优先级就是:阅读-语法-逻辑-数学。


▍关于ESR,你还应该知道:

(1)取消了成绩是否还能都买ESR?

可以购买

(2)购买了ESR会让取消的成绩恢复吗?

ESR不会让已取消成绩的考试恢复,查看方式与正常考试状态一样,其内容不包括AWA部分。

(3)我考了500多分还有必要购买ESR吗?

如果考生分数低于580分,那小7是不建议大家购买ESR的,低于580分的成绩就是考生本身连GMAT基础内容都没有把握到的阶段,需要重点抓基础,分析ESR没有特别大的意义。

(4)一份ESR可以分析多次考试吗?

一份ESR只能分析单次考试的具体情况,多次考试需要多次购买。


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