SCWK9964 · Social Work
School of Social Work
This course introduces basic statistics and practical applications of data analysis in social work research and evaluation. The course aims to teach students pragmatic tools for assessing basic statistical analyses. Students will learn: (1) descriptive statistics including measures of central tendency and variability; (2) hypothesis testing using chi-square, t-tests, one way ANOVA, correlation, and simple regression; (3) presenting and interpreting statistical results, and (4) using SPSS statistical package for data analysis. Other topics will be covered are data acquisition/management, data cleaning, data transformation, and introduction to SAS and Stata statistical packages. Upon completion of this course, students should be able to think critically about data and apply standard statistical to describe the data and to draw conclusions from such analyses.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.4 / 5
How well the course was organized
Challenge
4.7 / 5
How intellectually challenging students found it
Attendance
4.6 / 5
How necessary attendance was
Assignments
4.9 / 5
How helpful assignments were
Weekly effort
~5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Fall 2024
2 sectionsFall 2023
1 sectionFall 2022
1 sectionFall 2021
1 sectionFall 2020
1 section