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Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

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.
Metacognition01:26

Metacognition

Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Confidence Coefficient01:24

Confidence Coefficient

The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under both the...
Multiple Comparison Tests01:13

Multiple Comparison Tests

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Related Experiment Video

Updated: May 11, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

Does student confidence on multiple-choice question assessments provide useful information?

Donald A Curtis1, Samuel L Lind, Christy K Boscardin

  • 1Department of Preventive and Restorative Dental Sciences, School of Dentistry, University of California San Francisco, San Francisco, California 94143-0758, USA. don.curtis@ucsf.edu

Medical Education
|May 14, 2013
PubMed
Summary

Dental students often felt confident in incorrect answers, especially for complex questions. Measuring student confidence alongside accuracy can identify knowledge gaps for targeted feedback and professional development.

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Area of Science:

  • Dental Education
  • Medical Education Assessment
  • Psychometrics in Education

Background:

  • Multiple-choice question (MCQ) assessments typically provide only a percentage correct score.
  • Student competence is inferred from scores, neglecting confidence and clinical impact of errors.
  • Limited feedback hinders identification of student overconfidence or underconfidence.

Purpose of the Study:

  • To evaluate dental students' confidence in their incorrect responses.
  • To determine how confidence is influenced by the clinical impact of incorrect answers, question type, and gender.
  • To differentiate between uninformed (incorrect, not confident) and misinformed (incorrect, confident) responses.

Main Methods:

  • Exploratory, cross-sectional study with 104 Year 3 dental students.
  • Students completed 20 MCQs on implant dentistry, indicating correctness and confidence for each answer.
  • Incorrect responses were categorized by faculty as benign, inappropriate, or potentially harmful; question type (factual/complex) and gender were recorded.

Main Results:

  • Misinformed responses (incorrect but confident) were more common than uninformed ones (22% vs. 8%).
  • Misinformed responses were more frequent with complex questions than factual ones (p < 0.05).
  • Contrary to expectations, student confidence did not decrease as the potential clinical harm of incorrect answers increased.

Conclusions:

  • Assessing student confidence alongside accuracy effectively identifies misinformed responses.
  • This approach can inform targeted remediation strategies for dental students.
  • Making calibration errors (confidence vs. accuracy) visible is valuable for professional development feedback.