Thank you for your support!

Thank you for your support!

I’m glad to hear that you’re interested in my research! Having taken courses in costume design, I can also see how things like situational standards are found to be important. One thing I would say has certainly changed is the amount of clothing the average person has, due to industrialization and fast fashion.

I’m glad to hear that you’re interested in my research! Having taken courses in costume design, I can also see how things like situational standards are found to be important. One thing I would say has certainly changed is the amount of clothing the average person has, due to industrialization and fast fashion.

Thank you for stopping by, and for all of your support!

Thank you for stopping by, and for all of your support!

Thank you! If you’re referring to my statistical analyses, there were several ways in which I measured the variables in my survey. The majority of tests I ran were Pearson’s correlations, which measure the strength of a linear association between two variables. For example, when correlating the importance of clothing to personal identity with how embarrassed participants would feel if someone did not like what they were wearing, there was found to be a significant positive correlation (r = .318, n = 51, p = .023). This means that the more important clothing was to someone’s personal identity, the more embarrassed they would be if someone did not like what they were wearing. The second type of tests I ran were ANOVAs (Analysis of Variance) followed by a Tukey HSD test, which were conducted to look for differences between groups defined by gender identity and several variables. In this test, the goal is to gain information about the relationship between the dependent (example: the amount of time spent getting dressed each day) and independent variables (gender identity). In this instance, a significant interaction between gender identity and the time spent getting dressed each day was found (F(3,46 = 3.155, p = .034), and the Tukey HSD test revealed that nonbinary respondents spent significantly more time getting dressed each day than males did (p = .027), and although not at a significant level, nonbinary respondents took more time getting dressed than female and other identifying respondents. I also calculated means for how important traits were to consider when picking out an article of clothing to wear (sorted from most to least important) and how important it is to follow situational standards of dress for each setting (overall, formal, informal, public, private). These means were then displayed in tables. If you have any more questions about my findings, feel free to email me!

Thank you! If you’re referring to my statistical analyses, there were several ways in which I measured the variables in my survey. The majority of tests I ran were Pearson’s correlations, which measure the strength of a linear association between two variables. For example, when correlating the importance of clothing to personal identity with how embarrassed participants would feel if someone did not like what they were wearing, there was found to be a significant positive correlation (r = .318, n = 51, p = .023). This means that the more important clothing was to someone’s personal identity, the more embarrassed they would be if someone did not like what they were wearing. The second type of tests I ran were ANOVAs (Analysis of Variance) followed by a Tukey HSD test, which were conducted to look for differences between groups defined by gender identity and several variables. In this test, the goal is to gain information about the relationship between the dependent (example: the amount of time spent getting dressed each day) and independent variables (gender identity). In this instance, a significant interaction between gender identity and the time spent getting dressed each day was found (F(3,46 = 3.155, p = .034), and the Tukey HSD test revealed that nonbinary respondents spent significantly more time getting dressed each day than males did (p = .027), and although not at a significant level, nonbinary respondents took more time getting dressed than female and other identifying respondents. I also calculated means for how important traits were to consider when picking out an article of clothing to wear (sorted from most to least important) and how important it is to follow situational standards of dress for each setting (overall, formal, informal, public, private). These means were then displayed in tables. If you have any more questions about my findings, feel free to email me!