• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.113-120
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• 2012

When we evaluate prospective students in the interview process, we have to implement a system in which each student can be fairly judged. This process, the standardization of the scores which the interviewers have produced based on a student's performance, is implemented to ensure that each student receives a score that objectively translates one's performance. Although we don't know exactly how effective the standardization is in many different cases, we have researched which standardization methods are most stable and have minimum risks among the four methods such as STD, Range, MAD and IQR. These methods use scales such as standard deviation, range, maximum median and interquartile range.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.345-352
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• 2018

The purpose of this study is to clarify the difference between the scoring results by scorer(doctors and standardization patients) and examination dates. A total of 101 students in the fourth grade of medical school participated in four clinical practice test. Students were randomly assigned to either day-1 or day-2, which was consisted of a standardized patient scoring set or a physician scoring set. Station checklists consisted of history taking, physical examination, patient education, physician-patient relationship and clinical courtesy. The achievement scores of each case and each domain were converted to the standard score, and the differences between groups were compared. Female students' achievement scores were significantly higher than male students' achievement scores in all domains. There was no significant difference between means by the standardized patients' group and doctors group. Day-2 group was significantly higher than day-1 group in both of history taking and physical examination domains. If the principles of checklist are clearly defined, the scorer status (either physician or standardized patients) does not determine the difference of students' practice test scores.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2500-2506
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• 2015

Proposal assessments for new weapon system development such as C4I system have been applying a qualitative assessment. The main problem of qualitative assessment is that the results vary depending on the evaluator's subjective preferences and priorities. Also, if there is no discrimination of technical skills degrade, the company will be selected by bid price regardless of technical power. In order to making a fairness, We need a method to compensate for the evaluator's subjectivity and to enhance discrimination. Previous standardization method is limited because targets of the proposal assessment are minority and have similar skill level. So, The new standardized evaluation methods applicable to the proposal was presented. This way is using the priority instead of the score and has better performance than existing methods as the target numbers are smaller.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.189-196
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• 2011

In this study, we perform a simulation study to compare frequently used standardization methods for interview scores based on trimmed mean, rank mean, and z-score mean. In this simulation study we assume that interviewer's score is influenced by a weighted average of true interviewee's true score and independent noise whose weight is determined by the professionality of the interviewer. In other words, as interviewer's professionality increases, the observed score becomes closer to the true score and if interviewer's professionality decreases, the observed score becomes closer to the noise instead of the true score. By adding interviewer's tendency bias to the weighed average, final interviewee's score is assumed to be observed. In this simulation, the interviewers's cores for each method are computed and then the method is considered best whose rank correlation between the method's scores and the true scores is highest. Simulation results show that when the true score is from normal distributions, z-score mean is best in general and when the true score is from Laplace distributions, z-score mean is better than rank mean in full interview system, where all interviewers meet all interviewees, and rank mean is better than z-score mean in half split interview system, where the interviewers meet only half of the interviewees. Trimmed mean is worst in general.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.113-122
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• 1998

1999년 대학입학 수학능력고사(이하 수능)부터 새롭게 선택과목제와 표준점수제가 도입된다. 선택과목제는 수리탐구II 영역에서 공통과목외 한 개의 과목을 수험생 개인이 선택해서 보는 것을 의미하고, 표준점수제는 영역별 난이도를 조정하기 위해 각 영역의 원점수를 평균 50, 표준편차 10인 점수로 표준화시키는 것을 뜻한다. 선택과목이 있는 영역의 경우는 난이도차뿐만 아니라 각 선택과목 집단별로 일반적인 학업능력의 차이가 존재할 수 있다. 따라서 점수를 표준화시킬 때 과목별 난이도뿐만 아니라 그룹별 학업능력의 차이도 고려해야 한다. 지금까지 발표된 등화방법은 대표적으로 모수적 방법인 선형등화와 비모수적 방법인 백분위수등화가 있는데 이 두 가지 방법은 모두 각 그룹의 학업능력이 동일하다는 가정 하에 전개되어왔다. 따라서 본 논문에서는 우리 나라 입시상황에 적절한 그룹별 능력차이를 보정한 선형등화와 분위수 등화 방법을 비교해 보았다.

• The Mathematical Education
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• v.43 no.3
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• pp.309-314
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• 2004

A standardized scoring system for college interview entrance examination means we standardize the score of examination to adjust the degree of difficulty among questions and difference of panel's disposition. A standardized scoring system were newly enforced at college interview entrance examination from 2001. Colleges want to choose the most suitably qualified students, taking full advantage of interview examination. Also they should always prepare for questions, plan the answers and a standardized scoring system so that all candidates get a fair shake. The main purpose of this paper is to provide a standardized scoring system for interview examination. The results of interview examination are ranked from highest to lowest and each candidate have different rank from several panels. So some unit scores from panels are given for each candidate using standard normal distribution. Then we calculate the mean unit score for each candidate and final interview entrance examination scores are given using the mean unit score for each candidate.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.2
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• pp.42-54
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• 2020

Objective : The purpose of this study was to define a standard score of Sensory Processing Scale for Children (SPS-C) and its concurrent validity by correlation with the Short Sensory Profile (SSP). Methods : The subjects were children enrolled in nurseries and kindergartens in Busan and Gyeongnam. We defined the standard score of the SPS-C and identified its concurrent validity for 337 children. Both the SPS-C and SSP instruments were used to assess the children's sensory processing ability. The collected data were analyzed using SPSS 24.0. A statistical analysis was used to define the standard score for SPS-C based on the mean and SDs of -1 and -2. To identify the concurrent validity of the SPS-C, the correlation between it and SSP was measured using Pearson's correlation analysis. Results : The ranges of total standard scores on the SPS-C were classified as follows: 115~160 indicated "Typical Performance"; 105~114 indicated "Probable Difference"; and finally, 50~104 indicated "Definite Difference." Concurrent validity was ascertained using the Pearson correlation between the total scores of the SPS-C and the SSP; the Pearson correlation coefficient was .755, indicating a statistically significant correlation. Conclusion : This study suggests the standard score of the SPS-C for interpreting results in clinical settings and confirms that it is a valid tool for evaluating children's sensory processing ability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2030-2037
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• 2012

The purpose of this research is to suggest a model or method of needs analysis for designing syllabuses. As the learner-centered approach in teaching and learning methods becomes general, the learners' needs or wants should be reflected on the syllabus design. However, standardized scores in the previous research have disadvantages to be distorted in data interpretations because the difference between the maximum value and minimum value is so big compared to the Likert 5 scales. To solve this disadvantage, the Max-Min method is used in the needs analysis for the syllabus design. So, the differences are presented. Needs analyses need to be selected variously according to situations. Thus, further researches are needed to develop several new methods as well as the Max-Min method or the standardized score method for the whole needs analyses.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1285-1291
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• 2016

To quantify an concept we often use Likert summated rating scale of original or standardized variables in case the variables are relatively less. When variables have different scales, standardized values tends to be used rather than the original values. This is also true in evaluating systems. For example, we may use standardized values of local tax levy, population, and etc. and use the summed value of the standardized values to access the degrees of development. In this paper, we propose using a data-driven weighted sum for a scoring system and the way how to obtain the weights. We apply the proposed method to a real data set and find that proposed method is better than the usual summated rating scale.

• Journal for History of Mathematics
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• v.24 no.3
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• pp.145-163
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• 2011

This study sets the cut points of affective achievement scores based on the criteria referenced assessment. The modified Angoff method is applied to the standardized mathematics affect inventory which had validity and reliability. The cut points are set for 6 factors i.e. learning directivity, self control, anxiety, interest, cognizing value and confidence. As the results, among percentages of factor that middle school 2nd grade students in Korea achieved, the proportion of cognizing value is the highest. And there are no difference of the proportions as for gender, differentiated instruction, and region.