Heterosexual College Students Who Hookup with Same-Sex Partners

Arielle Kuperberg1, Alicia M Walker2

  • 1Sociology Department, The University of North Carolina at Greensboro, PO Box 26170, Greensboro, NC, 27402-6170, USA. atkuperb@uncg.edu.

Summary

Many heterosexual-identifying students engage in same-sex hookups for various reasons, including sexual experimentation and religious beliefs. These diverse motivations challenge simplistic understandings of sexual identity and behavior among college students.

Related Concept Videos

Student t Distribution01:31

Student t Distribution

The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
14.2K
Sex-linked Disorders01:43

Sex-linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
109.2K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.7K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.1K
Primary Motives: Sleep, Sex, and Pain Avoidance01:24

Primary Motives: Sleep, Sex, and Pain Avoidance

Primary motives such as sleep, sex, and pain avoidance are crucial drivers of behavior in humans and animals. These motives ensure survival, reproductive success, and overall well-being by prompting actions that meet essential bodily needs.
Sleep is a fundamental physiological drive that fosters a state of restfulness crucial for several bodily functions. It facilitates body restoration, the process by which the body repairs, rejuvenates, and maintains itself during sleep, including memory...
5.9K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
7.0K