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06 Apr 2024, 12:35
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I'm very confused about how the Data Insights section is scored for the official practice exams. Using my results from two practice exams, I got 18/20 questions correct (1 was unanswered, oops) and received a DI83, but I most recently got 19/20 correct and received a DI85. This makes no sense and seems to unfairly weigh the verbal and quant sections to DI, as a DI90 needs to get all questions correct, which is extremely difficult, and results in a 5-point increase. This also shows that if you're really good at DI, it does not benefit your score as much as someone really good at verbal or quant, unless you can manage to get a 20/20. When looking at the drawbacks of why the scores were low, I first thought the DI83 was egregiously low due to me not answering 1 question, having a profound effect. It now seems that wasn't entirely the reason as one question wrong dropped my score 5 points which can equate to either 20 or 30 points on the entire exam, which is insane. The question that I got wrong, was extremely difficult at that, being ranked as hard 95% difficulty on here, with around 38% of people getting it correct, taking over 3 minutes. The last aspect that could have some effect, but I do not think is profound, would be my previous section scoring. In both, I took DI after verbal, for the DI83 I got a V83 beforehand and for the DI85 I got a V84 beforehand.
I feel like this leads to 2 scenarios, one being that the practice exam scoring system is extremely flawed for data insights and likely not indicative of the actual result it would be on an official exam, the other being the bigger problem, which is how DI is actually scored. If there are any other posts or knowledge around this topic, I would appreciate it as this seems to be an issue.
I feel like this leads to 2 scenarios, one being that the practice exam scoring system is extremely flawed for data insights and likely not indicative of the actual result it would be on an official exam, the other being the bigger problem, which is how DI is actually scored. If there are any other posts or knowledge around this topic, I would appreciate it as this seems to be an issue.
06 Apr 2024, 22:09
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Scoring algorithm is a bit unclear question difficulty and question number sequence is detrimental factor for scoring... you can search in GC forum about scoring table and predictior
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06 Apr 2024, 22:13
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I found quantitative section to be similarly very challenging to get a very high score.
However, I agree that data insights is harder than quant because some questions don’t have a good approach or strategy and the diversity of questions also makes it hard to concentrate your efforts.
I would add that it’s going to be frustrating to try to figure out the algorithm because your scores will jump all over the place depending on the difficulty of the question you got wrong. You definitely do not want to leave any questions Yuen answered or because that is an automatic punishment of about 4 to 5 points…. But I would say those are some great scores you’re getting 👍
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However, I agree that data insights is harder than quant because some questions don’t have a good approach or strategy and the diversity of questions also makes it hard to concentrate your efforts.
I would add that it’s going to be frustrating to try to figure out the algorithm because your scores will jump all over the place depending on the difficulty of the question you got wrong. You definitely do not want to leave any questions Yuen answered or because that is an automatic punishment of about 4 to 5 points…. But I would say those are some great scores you’re getting 👍
Posted from my mobile device
