Notice
The course names and numbers for Data Analysis I and Data Analysis II
are currently being changed. The first
course in the sequence is now called USP 534 Data Analysis and is taught each
Spring term. The second course in the sequence is currently called USP 510 Data
Analysis II and is taught in the Fall term.
Eventually, the course number for Data Analysis II will change. The course content for Data Analysis I or II
has not changed substantially (links to most recent syllabi provided below).
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Old Course Names/Numbers
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New Course Names/Numbers
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USP 532 Data Collection
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USP 534 Data Analysis
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USP 534 Data Analysis
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USP 510/610 Data Analysis II
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Margaret Neal currently teaches the USP 532 Data
Collection course (Winter term) focusing on data collection and survey research
methods. Although I highly recommend this course, it is not a required
prerequisite to enroll in Data Analysis I or II.
Course Descriptions
USP 534 Data Analysis I
(old USP 532 Data Collection) . This
course takes an applied approach to statistical analysis and research
methodology. The goal is to provide students with statistical background,
conceptual understanding, technical writing skills, computer application, and
the ability to apply these skills to realistic data analysis problems and
research designs. Topics include review
of undergraduate statistics, chi-square, correlation, t-tests, and Analysis of
Variance for between and within subjects designs. Together with the second course (Data Analysis II offered in the
Fall term), this course will be a thorough and reasonably comprehensive
introduction to understanding, critically evaluating, and conducting analyses
for most studies in social science-related disciplines. Course requirements include three homework
assignments using SPSS statistical software, two exams, and participation in
the weekly SPSS lab. Prerequisites
include an undergraduate statistics course and general familiarity with research
design and methodology. Recommended (but
not required) prior courses include USP 530 Research Design taught Fall term
and USP 532 Data Collection taught by Margaret Neal Winter term.
USP 510/610 Data Analysis
II (old USP 534 Data Analysis).
This course takes an applied approach to statistical analysis and
research methodology and is the second in a two-course sequence. The goal is to
provide students with statistical background, conceptual understanding,
technical writing skills, computer application, and the ability to apply these
skills to realistic data analysis problems and research designs. Topics include simple regression and
correlation, multiple regression, and logistic regression. Together with the
first course (Data Analysis I offered in the Spring term), this course will be
a thorough and reasonably comprehensive introduction to understanding,
critically evaluating, and conducting analyses for most studies in social
science-related disciplines. Course requirements include three homework
assignments using SPSS statistical software, two exams, and participation in
the weekly SPSS lab. Prerequisites
include Data Analysis I or prior approval from the instructor (a prior graduate
course in statistics and SPSS experience are strongly recommended).