Related Experiment Video
Updated: Oct 4, 2025

07:57
Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
Published on: April 29, 2014
13.5K
Admissions data as predictors for student performance in restorative dentistry.
Olivia Watrous1, Peter Grieco2, Muath Aldosari3,4
1DMD Candidate, Harvard School of Dental Medicine, Boston, MA, USA.
Journal of Dental Education
|February 5, 2022
Summary
Dental school admissions criteria, including GPA and DAT scores, can predict student success in didactic restorative dentistry courses. However, preclinical performance is linked to the Perceptual Ability Test, not other admissions metrics.
Area of Science:
- Dental Education
- Restorative Dentistry
- Admissions Research
Background:
- Understanding factors influencing dental student success is crucial for optimizing admissions.
- Predoctoral academic performance in restorative dentistry requires further investigation regarding its predictors.
Purpose of the Study:
- To evaluate the predictive power of dental school admissions criteria on predoctoral academic performance in restorative dentistry.
- To inform and refine the dental school admissions process.
Main Methods:
- Assessed 172 predoctoral students (2017-2021) using admissions data and restorative dentistry performance metrics.
- Measured performance via the Final Restorative Treatment course, didactic/preclinical exams, and Objective Structured Clinical Examinations (OSCE).
Main Results:
- Significant association found between didactic restorative dentistry scores and Grade Point Average (GPA) and Dental Admission Test (DAT) scores.
- Preclinical restorative dentistry scores showed a significant association with the Perceptual Ability Test (PAT) score.
- No significant association between OSCE scores and admissions criteria was observed.
Conclusions:
- Dental admissions criteria appear to predict academic performance in the didactic and preclinical aspects of restorative dentistry.
- Specific admissions metrics may be more relevant for different components of dental training.
More Related Videos
Related Concept Videos
Teeth
846
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
846
Reliability and Validity
13.3K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.3K
Assessment of the Mouth
467
A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
467
Correlations
34.4K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
34.4K

