Linear Statistical Models in Social Science Research: Analysis of Designed Experiments
Lecture, four hours. Requisites: courses 230A, 230B. Solid and comprehensive training in experimental design and analysis methods, especially use of analysis of variance methods. S/U or letter grading.
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Ho, E.M. et al. (Spring 2024)
Setoguchi, E.H. and Hoskins, J.E. (Spring 2023)
Setoguchi, E.H. et al. (Spring 2022)
Jose-Felipe Martinez et al. (Spring 2021)
Jose-Felipe Martinez et al. (Spring 2020)
Giang, M.T. and Hser, Y. (Spring 2009)
Yih-Ing Hser (Spring 2008)
Choi, K. (Spring 2007)
Wang, J. (Spring 2007)
Novak, J.R. (Spring 2006)
Ockey, G.J. and Ender, P. (Spring 2006)
Hara, M. et al. (Spring 2005)
Abedi, J. (Spring 2004)
Ender, P. (Spring 2004)
Thum, Y.M. (Spring 2003)
Ho, E.M. et al.
24S
Setoguchi, E.H. and Hoskins, J.E.
23S
Setoguchi, E.H. et al.
22S
Jose-Felipe Martinez et al.
21S
Jose-Felipe Martinez et al.
20S
Giang, M.T. and Hser, Y.
09S
Yih-Ing Hser
08S
Choi, K.
07S
Wang, J.
07S
Novak, J.R.
06S
Ockey, G.J. and Ender, P.
06S
Hara, M. et al.
05S
Abedi, J.
04S
Ender, P.
04S
Thum, Y.M.
03S
Enrollment data not available.
Previously taught
20S
19S
18S
17S
16S
15S
14S
13S
12S
11S
10S
09S
08S