Refractive state, intelligence, education, and Lord's paradox

The Effect of Wearing Eyeglasses on the Perception of Attractiveness, Confidence, and Intelligence

Introduction

Several studies investigated the effect of wearing eyeglasses on self-esteem measures; however, most of these studies were conducted on western populations. We aim to assess the perception of attractiveness, confidence, and intelligence of young people of college-going age with and without glasses among university students.

Methods

This was a cross-sectional study conducted in five main Jordanian universities. We designed a survey with photos of four people with and without glasses (a total of eight photos). Participants rated the photos on a scale of 10 regarding attractiveness, confidence, and intelligence.

Results

A total of 517 participants were included in this study. We found significantly higher ratings for all domains of pictures without glasses compared to the same pictures with glasses. Moreover, participants not wearing glasses provided significantly higher attractiveness scores for most pictures not wearing glasses.

Conclusion

In our study on Jordanian college students of Arabian ethnicity, we found that eyeglasses may have a negative impact on a person’s image in regard to attractiveness, confidence, and intelligence.

Predicting the Effect of a Predictor When Controlling for Baseline

The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test-retest correlation between Y0 and Y1 is relatively weak. Researchers wishing to avoid spurious findings and Type 1 errors should be aware of this phenomenon and are recommended to verify found effects by an unadjusted effect of X on the Y1-Y0 difference.

Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency

Many studies analyze the effect of a predictor X on the onset or recovery of an outcome Y, for example some kind of disorder. The findings from this simulation study indicate that such effects can be found even if there are no changes in individuals’ true scores on the outcome, i.e., with tau equivalency, given some degree of positive test-retest correlation of the outcome and a correlation between the predictor and the outcome at baseline. Researchers predicting onset/recovery should be aware of this fact and in order not to draw hasty conclusions to control for what can be expected from these correlations alone.