Using SPSS graphic interface

Cours Using SPSS graphic interface, tutoriel & guide de travaux pratiques en pdf.

DESCRIPTION

This course is specifically for doctoral students learning how to use the Statistical Package for the Social Sciences (SPSS) version 17.0. It is offered because the University of Oregon College of Education has adopted SPSS as the statistical computing software for all doctoral students. The course is designed to enable students and faculty to attend classes with the assumption that statistical computing will not be a problem. The course, however, is not a course in statistics.*
Simply because the course focuses on SPSS, it is not intended to discourage the use of other statistical software, e.g., Stata, SAS, Mplus, R, etc. In fact, the use of other software is encouraged, and given time and opportunity, other software will be discussed.
NOTE. This course is uniquely different than most other course you may take. Designed as a workshop, developing skill with SPSS is requisite to success throughout your program. What you acquire from this 1 credit course depends largely on what you put into it.

OBJECTIVES
In this course, you will:

Become knowledgeable about..
SPSS Computer software for statistical analyses
Other computer softwares may be mentioned and discussed briefly
SPSS resources
Data structures and data restructuring
Statistical analysis
Nomenclature associated with using statistical computing software
Develop skill in . . .
Navigating SPSS
Using SPSS graphic interface
Using SPSS syntax (code)
Interpreting SPSS error messages
Saving analytic results to SPSS output windows
Saving results from SPSS to various output formats
Generating statistical graphs from SPSS
Conversing with others (e.g., peers, faculty, technical support) about SPSS-based work you are completing (or attempting to complete)

COURSE STRUCTURE
Each week, lecture, discussion and demonstrations will follow the course schedule (below). Students are encouraged to bring problems to class, and offer demonstrations of skills associated with SPSS. During class discussions, PLEASE ask questions and request further explanation as necessary.

EXAMS
There will be a midterm (importing and exporting data) and final exam (restructuring data and using syntax). Both tests are take-home, due prior to the beginning of the next meeting.

GRADING POLICY
Your final grade for this course will be determined based on seven weekly assignments and two exams (midterm and final). The weekly assignments are each worth 5 points (30 points total). No partial credit is provided for the weekly assignments ; if you complete it and turn it in, then you will receive 5 points. The midterm and final exam will each comprise 35 points (70 points total). The tests will be graded according to how thoroughly and accurately the problems are completed.