Related Experiment Video
Updated: Apr 12, 2026

09:55
Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
2.4K
Rural/Nonrural Differences in College Attendance Patterns.
Soo-Yong Byun1, Matthew J Irvin2, Judith L Meece3
1The Pennsylvania State University.
Summary
Rural youth face significant barriers to college attendance, including lower enrollment in selective institutions and delayed or discontinuous college entry. Socioeconomic status and high school preparation largely explain these disparities.
Area of Science:
- Sociology of Education
- Higher Education Studies
- Rural Sociology
Background:
- Understanding postsecondary education access for diverse student populations is crucial.
- Rural youth often encounter unique challenges in pursuing higher education.
- Previous research highlights disparities but requires updated analysis on specific attendance patterns.
Purpose of the Study:
- To document college attendance patterns of rural youth.
- To compare rural and non-rural students' postsecondary enrollment behaviors.
- To identify factors contributing to rural/non-rural differences in college access.
Main Methods:
- Utilized data from the National Education Longitudinal Study of 1988.
- Analyzed college attendance patterns: institution selectivity, entry timing, and enrollment continuity.
- Employed statistical methods to compare rural and non-rural student groups and explain disparities.
Main Results:
- Rural youth were less likely to attend selective postsecondary institutions.
- Rural students demonstrated a higher propensity for delayed entry into college.
- Rural students exhibited lower rates of continuous college enrollment compared to non-rural peers.
Conclusions:
- Significant rural/non-rural disparities exist in college attendance patterns.
- Socioeconomic status and high school preparation are key explanatory factors for these disparities.
- Policy interventions addressing socioeconomic and academic preparedness gaps are needed to improve rural college access.
Related Concept Videos
Cross-Sectional Research
12.9K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.9K
Close Relationships and Culture
368
Culture shapes how people approach attraction, choose partners, and build long-term relationships. While some preferences in mate selection appear consistent across cultures, such as men valuing physical attractiveness and women emphasizing financial resources, cultural contexts influence how these preferences are expressed and prioritized. Marriage extends beyond romantic ideals in many societies and is deeply embedded in social, economic, and religious frameworks.The Role of Culture in Mate...
368
Surveys
17.2K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
17.2K
Stratified Sampling Method
16.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
16.4K
Random Sampling Method
15.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
15.9K
Cluster Sampling Method
15.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
15.7K

