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Related Concept Videos

Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Multiple Comparison Tests01:13

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...
Social Foundations of Self III: Self-Evaluation01:30

Social Foundations of Self III: Self-Evaluation

Self-evaluation is the process by which individuals assess their abilities, behaviors, and characteristics based on feedback from others. Charles H. Cooley observed that a person’s self-perception is primarily influenced by how others see and judge them. He suggested that individuals form their identities based on their interpretations of others' reactions. As a result, social interactions play a crucial role in shaping self-esteem and personal identity. These external evaluations often blend...

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Related Experiment Video

Updated: Jun 16, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Improving MCQ quality using a self-evaluation checklist: A quasi-experimental study.

Ayesha Sadiqa1, Abid Ashar1

  • 1Department of Medical Education, College of Physicians and Surgeons Pakistan (CPSP), Karachi, Pakistan.

Journal of Taibah University Medical Sciences
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

A checklist improved multiple-choice question (MCQ) quality by enhancing distractor effectiveness and internal consistency in medical science exams. While not significantly improving reliability, it positively impacted student performance.

Keywords:
ChecklistDiscrimination indexDistractor efficiencyMultiple-choice questionsReliability indexSelf-evaluation

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Related Experiment Videos

Last Updated: Jun 16, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Area of Science:

  • Medical Education
  • Assessment Quality
  • Item Analysis

Background:

  • Multiple-choice questions (MCQs) are crucial in medical education assessments.
  • Ensuring the quality of MCQs is essential for valid and reliable evaluation.
  • Faculty-developed MCQs may benefit from structured interventions to improve quality.

Purpose of the Study:

  • To enhance the quality of faculty-created multiple-choice questions (MCQs) using a standardized checklist intervention.
  • To assess the impact of a self-evaluation checklist on MCQ item analysis parameters.
  • To evaluate the effect of the checklist intervention on student academic performance.

Main Methods:

  • A pre-post quasi-experimental design without a control group was used.
  • Faculty in basic medical sciences received training on a predesigned checklist.
  • MCQ quality was evaluated using item analysis before and after the intervention.

Main Results:

  • MCQ reliability did not significantly improve, but internal consistency shifted to acceptable levels.
  • Distractor efficiency significantly improved, with notable increases in anatomy, biochemistry, and oral biology.
  • Student academic performance improved, with fewer poor ratings and more good/satisfactory ratings across subjects.

Conclusions:

  • Checklist use enhanced MCQ quality, particularly in distractor functionality and internal consistency.
  • The intervention had a limited impact on other item analysis parameters like difficulty and discrimination.
  • The study highlights the potential of checklists to improve MCQ quality and student outcomes in medical education.