MW 9:00-10:20 am
PURPOSES AND GOALS OF THE COURSE
In this graduate course we will spend the first half of the semester reviewing the basic concepts of univariate statistics, adding details that were undoubtedly missing from your undergraduate class. During the second half of the semester we will cover topics in bivariate and multivariate statistics that were certainly not covered in your undergraduate course. In addition to acquiring a conceptual understanding of these statistical procedures, you will be expected to develop the ability to analyze research situations so as to identify the research questions being asked and determine which statistical techniques are most appropriate to answering these questions. You will become skilled in the use of statistics as well, through regular homework and in-class assignments that require both manual calculation and computerized data analysis. Your training will include a thorough introduction to the use of SPSS 16.0 for Windows and most class periods will include at least some time spent in the computer lab working with SPSS. The ultimate goal of this course is to prepare you to be an intelligent and critical consumer of the technical and professional research literature in the social and behavioral sciences and to be a capable user of statistics in applied settings as well.
TOPICS ASSIGNED READINGS
Introduction, Scales of measurement Chapter 1
Descriptive Procedures
Data distributions and Graphs Chapter 2
Descriptive Statistics Chapter 3
Std. Scores, Std. Normal Distribution Chapter 4
Interval estimation Chapter 5
EXAM 1
Univariate Significant Difference Tests
One-sample tests Chapter 6
Two-sample tests Chapter 7
One-way ANOVA Chapter 8
Factorial ANOVA Chapter 9
EXAM 2
Bivariate Correlation and Regression
Bivariate correlation Chapter 10
Bivariate regression Chapter 11
Multivariate Correlation and Regression
Partial and semi-partial correlation Chapter 12
Multiple correlation and regression Chapter 13
EXAM 3
Multivariate Significant Difference Tests
Discriminant analysis Chapter 14
Examining Data Structure
Factor analysis Chapter 16
Cluster analysis Chapter 17
Multidimensional scaling analysis Chapter 18
EXAM 4
GRADING
Course grades will be based primarily on the average of four exams. The fourth exam is the final which will be comprehensive. These exams will cover definitional and conceptual knowledge as well as your ability to analyze research problems, select appropriate statistical procedures, and use statistics effectively to answer research questions. Borderline grades will be affected by such factors as attendance, completion of homework assignments, and quality of participation.
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ATTENDANCE POLICY
Students are expected to attend class regularly, to complete homework assignments in a timely manner, and to participate in the activities of the class.