Improving Recruitment Procedures for School-Based Surveys: Through the Lens of the Illinois Youth Survey
Related Experiment Video
Updated: Nov 22, 2025

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Kelly Lynn Clary1, Crystal A Reinhart2, Hyun Jung Kim3
1Texas State University, School of Social Work, 601 University Drive, Encino Hall Office 157, San Marcos, TX, 78666.
Background:
Epidemiological surveys are designed to collect representative trend data. School-based surveys are important to utilize so systems can effectively create prevention and intervention programs to alter youths' perceptions and behaviors related to substance use. However, there are many barriers when implementing a school-based survey.
Methods:
This mixed methods study sought to uncover 30 school personnel's challenges when making the decision to implement the Illinois Youth Survey (IYS). Through a descriptive and interpretive approach, participants' thoughts to improve future recruitment procedures and reduce barriers for implementation were analyzed.
Results:
Results found challenges included: (1) time; (2) parent-opt out consent letter; (3) wording of the survey responses; (4) honesty of the students' responses; (5) importance and use of the data. Moreover, the most common suggestions to improve recruitment included: (1) sharing knowledge about trend data; (2) year-round communication with school personnel; (3) targeting school personnel groups; and (4) providing examples of data use.
Conclusions:
Findings can be used to improve recruitment procedures for others who have similar challenges. If schools, counties, and states have representative data they can more precisely tailor their programming to meet the needs of their population.
Related Concept Videos
Surveys
Cluster Sampling Method
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...
Group Design
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Systematic Sampling Method
Systematic sampling is one of the simplest methods...

