The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Prerequisites: SSW 6410, which may be taken concurrently; open to doctoral students in Social Work, others with permission.
Grading Basis: Graded
Builds upon an introductory level of statistical knowledge and assumes that students have completed an introductory statistics course, including experiences with data analyses that involve computer interactions (SPSS). Develops an understanding of the general linear model (GLM). Once students gain a solid understanding of GLM, students can extend their knowledge to a variety of more complex statistical tests. Selection and application of appropriate statistical procedures to answer research questions or test hypotheses in social work research, and involves the extensive use of available statistical packages. While the course emphasizes the understanding of statistical testing, interpretation and written presentation of statistical results, knowledge of the mathematical formulae and assumptions underlying each statistical procedure may be required and are discussed in class.
Last Refreshed: 07-DEC-21 05.20.17.940226 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Credits||Grading Basis||Notes|
|1218 14272 1 H01||Fall 2021||14272||Hartford||In Person||Elsaesser, Caitlin||H01||Reg||Th 11:15am‑1:45pm