IBM: Introduction to IBM SPSS Statistics
Your SPSS Statistics analyses must turn data into interpretable results. With IBM SPSS, structure information preparation and exploration to interpret results more effectively. Develop an analytical practice that helps you support your conclusions and identify the limits of the methods.
- Duration
- 2 days 14 hours
- Code
- OG507 Code
Presentation
Introduction to IBM SPSS Statistics guides participants through the basics of using IBM SPSS Statistics for a typical data analysis process. This course uses the basic features of IBM SPSS Statistics.
Objectives
By the end of this course, you will have learned:
- The basics of reading data.
- Data definition.
- Data modification.
- Data analysis and presentation of analytical results.
- Time-saving shortcuts.
Program
Introducing IBM SPSS Statistics
- Explain the basic steps of data analysis using IBM SPSS Statistics.
- Describe the roles of the main windows within IBM SPSS Statistics.
- Describe the basic structure of IBM SPSS Statistics dialog boxes.
Reading data
- Describe File menu options for reading and saving data files.
- Read Excel files.
- Read data from an Access database.
- Read delimited text files.
Variable properties
- Describe all variable properties.
- Define variable properties in Variable View.
- Define variable properties using the Define Variable Properties dialog box.
- Save variable properties with data in an IBM SPSS Statistics data file.
- Display variable properties interactively using Variables Utility.
- Display variable properties in tables using Display Data Dictionary and the Codebook procedure.
Using the Data Editor
- Use Data Editor features.
- Use the spell checker.
- Insert, delete and move variables and cases.
- Use Split Screen View.
- Copy information from one dataset to another.
- Use Copy Data Properties.
Summarising individual variables
- Define measurement levels.
- Use the Frequencies procedure to generate appropriate tables and charts for nominal and ordinal variables.
- Use Frequencies and Descriptives procedures to generate tables and charts for scale variables.
Modifying data values
- Use Visual Binning to group a scale variable.
- Use Recode into Different Variables for categorical variables.
- Use Automatic Recode to create a numeric variable from a string variable.
- Describe Compute Variable features.
- Create new variables with conditional numeric expressions.
Describing relationships between variables
- Select the appropriate procedure to summarise the relationship between two variables.
- Use Crosstabs to summarise relationships between categorical variables.
- Use Means to summarise the relationship between a scale variable and a categorical variable.
Selecting cases
- Describe and use Select Cases dialog box features.
- Describe and use Split File dialog box features.
Creating and editing charts
- Use Chart Builder to create different chart types.
- Format and edit a chart in the Chart Editor.
Output in the Viewer
- Navigate the Viewer.
- Customise a pivot table.
- Create and apply a pivot table template.
- Export results to other applications.
Syntax basics
- Use the Syntax Editor environment.
- Create syntax.
- Run syntax.
- Edit syntax using command auto-completion.
Audience
This course is intended for:
- Any IBM SPSS Statistics user.
- Anyone wishing to master IBM SPSS Statistics.
- Anyone considering purchasing IBM SPSS Statistics.
Prerequisites
You should have:
- Experience using applications such as word processors or spreadsheets.
- A basic understanding of the software's purpose and functions.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.
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