Related Experiment Video
Updated: Jan 28, 2026

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software
Published on: September 4, 2021
[Factors affecting ageism among university students: A cross-sectional descriptive study]
Purpose:
This study aimed to investigate the extent of ageism among domestic university students in South Korea and identify influencing factors while controlling for social desirability bias.
Methods:
This cross-sectional study involved 312 students from a nationwide panel and four universities located in G Province, administered online. The data were analyzed using SPSS version 26.0, employing descriptive statistics, independent t-tests, Welch's ANOVA, Pearson's correlation, and hierarchical regression analysis methods.
Results:
Controlling for social desirability, the most potent predictors of ageism were the images about older adults (β=-.29, p<.001), knowledge about aging (β=-.24, p<.001), and the quality of interaction (β=-.20, p<.001), explaining 39% of the variance. Anxiety about aging did not emerge as a significant predictor in the final model.
Conclusion:
The findings underscore the critical importance of promoting accurate knowledge about aging, fostering positive images of older adults, and improving intergenerational interactions to combat ageism. These results provide a theoretical foundation for interventions aimed at reducing ageism.
More Related Videos
07:51Effects of Allogeneic Platelet-Rich Plasma PRP on the Healing Process of Sectioned Achilles Tendons of Rats: A Methodological Description
Published on: March 19, 2018
10:55Procedure for the Development of Multi-depth Circular Cross-sectional Endothelialized Microchannels-on-a-chip
Published on: October 21, 2013
Related Concept Videos
Cross-Sectional Research
Profile Leveling and Cross Sections
Spinal Cord: Cross-sectional Anatomy
Gray Matter and its Components
Central to the gray matter is...
Crossing Over
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process...
Student t Distribution
The Student t distribution was developed by William S. Goset (1876–1937) of the...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data...