Criminal Justice-COLL | Techniques of Data Anaylsis
K300 | 1578 | --

K300 is a basic statistics course for criminal justice majors.  The
primary emphasis in the course is on understanding the use and
interpretation of statistical techniques.  By the end of the class
you will be familiar with the most common statistical techniques
used in the field.  We begin by covering topics such as frequency
distributions, measures of central tendency, and measures of
dispersion.  We then address relationships between variables,
focusing on correlations, t-tests, f-tests (ANOVA), Chi-square
analyses, and multiple regression analyses.  We will focus on which
statistical technique is most appropriate to use given a particular
type of data.  We also will spend considerable time on interpreting
the outcomes of the statistical procedures.  In brief, the class
will be guided by the following questions:

How do I best analyze these data?
What statistical test is most appropriate to conduct, given these
Once I have an outcome, what does it mean?
How do statistics tell me about what I really want to know?

Generally, our class meetings will be structured such that the first
part of our session will be devoted to discussing new material and
then we will provide a practice problem followed by assignments on
the computer, by applying the new materials to an actual dataset.
SPSS will be our primary computer software program.

The goal of the class is for statistics to be approachable to you,
so that you can read the results of original research and understand
the study and its findings.  Hence, we will focus on the
conceptualization of research, the basic mechanics of statistical
computations, and understanding and interpreting those computations.

Class meeting:  Daily, 8:30-11:30, BH 118


Instructor:  Cindy McNair, criminal justice department