PSYC 489J: Advanced Statistics for Psychology
Fall 2012
Tuesday & Thursday 9:30-10:45
Instructor: Kristen Klein
Prerequisite: PSYC 300
Registration by permission of instructor
If you’re interested in graduate school or a career in research, this course can help you acquire
valuable skills to list on a resume and apply to a wide range of projects. Advanced Statistics for
Psychology is designed to be a hands-on course, in which students learn when to use different
statistical analyses, how to run them in SPSS, and how to professionally report the results.
Each week, students will learn and apply a different statistical analysis using SPSS, a statistical
program that is widely used in psychology. Although a basic understanding of research designs
and statistics is helpful, this course is not focused on the “math” behind statistics but rather on
the appropriate application of statistics to different research designs. In this course, we’ll learn
when and how to conduct these common statistical analyses:
Descriptive statistics
Correlation (bivariate and partial)
Linear regression (bivariate and multiple regression)
Independent and paired t-tests
Analysis of variance (ANOVA – one-way and factorial)
Analysis of covariance (ANCOVA)
Repeated-measures ANOVA
Chi-square test
Mediation analysis
PSYC majors may count this course toward the two (2) required 400 level non-lab coursesFall 2012
Tuesday & Thursday 9:30-10:45
Instructor: Kristen Klein
Prerequisite: PSYC 300
Registration by permission of instructor
If you’re interested in graduate school or a career in research, this course can help you acquire
valuable skills to list on a resume and apply to a wide range of projects. Advanced Statistics for
Psychology is designed to be a hands-on course, in which students learn when to use different
statistical analyses, how to run them in SPSS, and how to professionally report the results.
Each week, students will learn and apply a different statistical analysis using SPSS, a statistical
program that is widely used in psychology. Although a basic understanding of research designs
and statistics is helpful, this course is not focused on the “math” behind statistics but rather on
the appropriate application of statistics to different research designs. In this course, we’ll learn
when and how to conduct these common statistical analyses:
Descriptive statistics
Correlation (bivariate and partial)
Linear regression (bivariate and multiple regression)
Independent and paired t-tests
Analysis of variance (ANOVA – one-way and factorial)
Analysis of covariance (ANCOVA)
Repeated-measures ANOVA
Chi-square test
Mediation analysis
OR the two (2) required Social, Decision, and Organizational Science theme courses.
For more information and to register for PSYC 489J please contact Kristen Klein at kleinkm@umd.edu