QUANT 346 - Applied Statistics for Youth Development

5 Credits

This course focuses on data analysis techniques for practitioners in youth development programs. Students will learn standard techniques for collecting, organizing, visualizing, and interpreting data and statistics for use in reports, grant narrative, and program evaluation. Student will also learn how to access and interpret data and statistics contained in best practices research found in peer-reviewed articles and national databases, including the logic and results of hypothesis testing.

Program Admission Required Yes Admitted Program BAS - H SER
Course Note For students in BAS in Youth Development
FeesCF

Quarters Typically Offered
Fall Evening
Designed to Serve Student in the Bachelor of Applied Behavior Sciences in Youth Development
Active Date 20220330T15:34:40

Grading Basis Decimal Grade
Class Limit 24
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
BAS

Quantitative Skills

Course Outline

Types and sources of data used in Youth Development Program
Computing and interpreting basic descriptive statistics
Data collection techniques and ethical considerations
Incorporating data and descriptive statistics into written narrative, including proper attribution
Organizing data and descriptive statistics into appropriate visualizations, using technology
The logic of inferential statistics (e.g., hypothesis testing )
Interpreting statistics in reports, grant narrative, program evaluation, and best-practices research on youth development

Student Learning Outcomes
Incorporate data and descriptive statistics into written narrative appropriate for an identified audience, including appropriate attribution.

Interpret descriptive and inferential statistics found in reports, grant narrative, program evaluation reports, and evidence-based best practices research on youth development

Identify techniques for collecting raw data on youth development programs, including strengths, limitations, and ethical considerations

Access and interpret data and statistics on youth development and youth development programs from national databases

Create appropriate visualizations of data and descriptive statistics for use in reports, grant narrative, and program evaluation in youth development programs, using technology where appropriate