# INTRODUCTION TO SPSS AND STATISTICS

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```					                       INTRODUCTION TO SPSS & STATISTICS                              Platform: SPSS for Windows®

Duration: 2 days

Target Audience:           This course is designed for those wishing to learn how to enter, modify, analyse and
present data using SPSS.

Pr       Prerequisites:             Keyboard and mouse skills. Experience of working in the Windows environment and
an und                              an understanding key Windows features. Some prior basic statistical knowledge is
assumed due to the pace of the course.
O
The      Overview:                  The course provides an introduction to using SPSS in each of 4 main stages of data
analysis:
•    Data definition and input
•    Data modification
•    Data analysis
•    Data presentation

It also covers basic statistical theory and an introduction to some of the most frequently
used analysis techniques

Objectives:                     By the end of the course you will have learned to:
•    Enter, edit and define data
•    Carry out essential data modifications
•    Understand the importance of types of data, distinguish between them and
be able to choose the appropriate techniques for summarising and testing
each type
•    Perform a range of analyses using SPSS
•    Produce high quality output (e.g. charts) to report your findings and transfer
this output to word processing packages
•    Interpret the output and draw appropriate conclusions from the data
•    Control the operation of SPSS and manage your files and output

Course Content:           Following an overview of the main features of SPSS and an introduction to
essential terminology, you will proceed logically through the following:

Data definition and access:

•    Defining variables and entering data using the built-in Data Editor
•    Applying dictionary information from another file
•    Importing data from spreadsheets and other applications

Data modification

•    Computing new variables and recoding data values
•    Selecting subsets of the data and splitting data files to obtain sub-group
summaries

Data analysis:

•    Levels of measurement (types of data)
•    Summarising single variables using FREQUENCIES and DESCRIPTIVES
•    Bar charts, histograms, boxplots and stem-and-leaf plots
•    Summaries of central tendency (e.g. mean, median and mode)
•    Summaries of spread and shape (e.g. standard deviation, skewness)
•    The ‘normal distribution’ and its importance
•    Producing crosstabulation tables and testing for significant relationships with
chi-square
•    Assessing relationships between continuous variables through plots and
correlations
•    Testing for significant differences between means using t-tests

Data Presentation:
•    Producing and editing high quality charts using the integrated SPSS
graphics
•    An introduction to producing clear and concise summary reports

SPSS Courses

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 views: 243 posted: 11/21/2008 language: English pages: 1