實施多組別招生對個人申請分發率的影響研究（以金融相關學系為例）

A study on the impact of implementing multi-group admissions on the distribution rate of individual applications (taking finance-related departments as an example)

大學院系實施多組別招生已經相當普遍。本文研究在個人申請階段，實施多組別招生的系組，其第一階段篩選通過率是否高於實施單組別招生的系所？其第二階段的甄選參與率是否較高？其正取分發率是否較高？其個人申請分發率是否較佳？
本文針對變異數不相等的兩組樣本，採用t檢定方法檢定該兩組樣本的平均數是否相等。本文發現，實施多組別招生的系組有較高的第一階段篩選通過率、較高的正取分發率和較佳的個人申請分發率。雖然也會有比較大的二階甄選參與率，但是兩組平均值的差異是不具統計顯著性。
本文對最後一個結果進行解釋，是因為實施多組別招生的系組，其被核定招收的學生數量一般較少，然而，其較高的第一階段篩選通過率會讓考生認為自己被錄取的機率較低，而當面試時間可能出現衝突時，考生往往會放棄參加系組的第二階段面試甄選。
本文針對個人申請，研究能有效提升個人申請分發率的招生策略。此處必須提醒的是，本文所得結果能否適用於其他學系，以及能否適用於其他學年度的資料，尚須進一步探究。

It is quite common for university departments to implement multiple-group admissions. This paper studies whether the first-stage screening pass rate of departments that implement multi-group admissions is higher than that of departments that implement single-group admissions during the individual application stage? Do they have a higher participation rate in the second-stage selection? Do they have a higher admission distribution rate? Do they have a better individual application distribution rate?
This paper uses the t-test method to test whether the means of two groups of samples with unequal variances are equal. This paper finds that departments that implement multi-group admissions have higher first-stage screening pass rates, higher admission distribution rates, and better individual application distribution rates. Although there is also a relatively large participation rate in the second-stage selection, the difference between the two group means is not statistically significant.
This article explains the last result because departments that implement multi-group admissions generally have fewer students approved for admission. However, a higher first-stage screening pass rate will make candidates believe that their chances of being admitted are lower. When there is a possibility of a conflict in interview time, candidates will often give up participating in the department's second-stage interview selection.
This article focuses on individual applications and studies the admissions strategies that can effectively improve the distribution rate of individual applications. However, it must be reminded that whether the results of this article can be applied to other departments and whether they can be applied to data from other academic years still needs further exploration.