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Instructor Class Description

Time Schedule:

Joseph W. Janes
INSC 571
Seattle Campus

Quantitative Methods in Information Science

Describes uses, characteristics, and theoretical bases of research methods and data analysis techniques used in quantitative research, emphasizing uses in information and library science. Topics include experimental design, descriptive and inferential statistics, the normal distribution, elementary probability, nonparametric statistics, and exploratory data analysis techniques. Prerequisite: INSC 570.

Class description

At the end of this course, it is expected that students will:

understand and be able to use quantitative research methods such as experimental design and surveys

understand and be able to use exploratory data analysis techniques, descriptive statistics, inferential statistics and hypothesis testing

understand the importance and use of nonparametric statistics, and be able to conduct some tests using these techniques

understand, appreciate, and be able to evaluate the use of other, more advanced techniques

understand the proper role of statistics in the research process in information and library studies

Student learning goals

General method of instruction

lecture and demonstration

Recommended preparation

Class assignments and grading

weekly problem sets

problem sets, examinations


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Joseph W. Janes
Date: 10/21/2003