data

Jason Newsom’s USP 534
Data Analysis I
Offered Next: Spring 2009

Description

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 (USP 554/654 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.

Spring 2009 Syllabus
Click here for the class syllabus, reading list, and my contact information

Supplemental Readings

Required Optional HW 3 Readings

Current Homework
Get a copy of the current homework and link to the data sets.

Homework Data Sets
Get the data you need here

Review Sheets
Midterm

Final

Overheads and Handouts
(pdf format) (sorry, not all overheads will be posted and handouts will only be
available after the material has been covered in class)

Basic Threats to Internal Validity

SPSS Descriptive Statistics Examples

Levels of Measurement and Choosing the Correct Statistical Test

SPSS t-Test Example

Within-subjects t-test

Some General and Technical Writing Suggestions

Single-Group Statistical Tests with a Binary Dependent Variable

2 X 2 Contingency Chi-square

Chi-square for within-subjects: McNemar’s test

Correlation Example

Differences and Relationships Overhead

Binomial and Normal Overhead