15点对比通过/失败评分在正牙教育:一个随机对照试验
Marina Julia Bialas1, Jonas Q Schmid1, Claudius Middelberg1
1Department of Orthodontics, University of Münster, Münster, Germany.
Journal of dental education
|December 20, 2024
概括
与通过/失败相比,一个15分评分系统在牙科教育中略有改善了正牙器械的质量. 虽然有益,但临床意义在各个课程中各不相同,女性学生表现优于男性.
科学领域:
- 牙科教育 牙科教育
- 矯正牙科 矯正牙科是一種矯正牙科.
- 评估方法 评估方法
背景情况:
- 只有有限的证据可以比较分级系统对牙科教育中手工技能的影响.
- ортодонтический设备制造是牙科课程中评估的关键手工技能.
研究的目的:
- 评估15分评分系统与通过/失败系统对牙科学生生产的正牙器械质量的影响.
- 为了确定一个详细的分级系统是否能提高牙正培训的手工灵巧性和技术成果.
主要方法:
- 一个平行组随机对照试验,涉及139名牙科学士前学生,分别参加了三门正牙课程.
- 学生被随机分配到15分分级系统 (测试组) 或通过/失败系统 (控制组).
- Orthodontic 仪器由经过校准的牙医使用标准化标准进行评估;数据使用 Mann-Whitney U 和 Fisher 的精确测试进行分析.
主要成果:
- 在所有课程中,在15分评分组中观察到对正牙器械的平均质量得分略高一些.
- 只有在第三道菜中才发现有利于15分系统的统计学上显著差异 (p=0.0222).
- 在所有三种课程中,女性参与者表现优于男性参与者 (p=0.0207).
结论:
- 实施15点评分系统显示了牙科教育中改善正义牙科器械质量的积极趋势.
- 观察到的差异仅在三个评估过程中的一个过程中是微不足道的,并且在临床上具有意义.
- 这项研究表明,详细的分级系统对牙矯正手工技能发展具有潜在的益处,具有显著的基于性别的绩效差异.
相关概念视频
Testing a Claim about Population Proportion
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Multiple Comparison Tests
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Bonferroni Test
The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
Bias
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Comparing Experimental Results: Student's t-Test
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
Comparison Tests
An infinite series composed of positive terms may either approach a finite value or increase without bound. Determining which outcome occurs is a central task in calculus, and comparison tests provide structured methods for making this determination. Rather than evaluating a series directly, these tests relate it to another series whose behavior is already known, allowing conclusions to be drawn through logical comparison.The direct comparison test applies to series with positive terms. If each...


