An Introduction to SPSS

Introduction to SPSS

Eli KatsiriSchool of Computer Science and

Information Systems

Summary of Lecture Overview of SPSS Help – tutorials Data-Variable View Analyze menu Overview Labels Histogram example Descriptive Statistics example Save and Exit

SPSS Components (1) Data Editor. A versatile spreadsheet-like system for defining, entering, editing, and

displaying data.

Viewer. The Viewer makes it easy to browse your results, selectively show and hide output, change the display order results, and move presentation-quality tables and charts between SPSS and other applications.

Multidimensional pivot tables. Your results come alive with multidimensional pivot tables. Explore your tables by rearranging rows, columns, and layers. Uncover important findings that can get lost in standard reports. Compare groups easily by splitting your table so that only one group is displayed at a time.

High-resolution graphics. High-resolution, full-color pie charts, bar charts, histograms, scatterplots, 3-D graphics, and more are included as standard features in SPSS.

Database access. Retrieve information from databases by using the Database Wizard instead of complicated SQL queries.

SPSS Components (2) Data transformations. Transformation features help get your data ready for

analysis. You can easily subset data, combine categories, add, aggregate, merge, split, and transpose files, and more.

Electronic distribution. Send e-mail reports to others with the click of a button, or export tables and charts in HTML format for Internet and intranet distribution.

Online Help. Detailed tutorials provide a comprehensive overview; context-sensitive Help topics in dialog boxes guide you through specific tasks; pop-up definitions in pivot table results explain statistical terms; the Statistics Coach helps you find the procedures that you need; and Case Studies provide hands-on examples of how to use statistical procedures and interpret the results.

Command language. Although most tasks can be accomplished with simple point-and-click gestures, SPSS also provides a powerful command language that allows you to save and automate many common tasks. The command language also provides some functionality not found in the menus and dialog boxes.

HELP

Tutorial

Statistics Coach

Variance & Distribution

--Continued--Continued



Variables(1) Scale. Data values are numeric values on an interval or ratio scale--for

example, age or income. Scale variables must be numeric.

Ordinal. Data values represent categories with some intrinsic order (for example, low, medium, high; strongly agree, agree, disagree, strongly disagree). Ordinal variables can be either string (alphanumeric) or numeric values that represent distinct categories (for example, 1 = low, 2 = medium, 3 = high).

Nominal. Data values represent categories with no intrinsic order--for example, job category or company division. Nominal variables can be either string (alphanumeric) or numeric values that represent distinct categories--for example, 1 = Male, 2 = Female.










Descriptive Statistics

Histograms



Summary of Lecture Overview of SPSS Help – tutorials Data-Variable View Analyze menu Overview Labels Histogram example Descriptive Statistics example Save and Exit

Practice Test Excel 8/2 (7.30-9 only)

ADEWALE-DIAS B43

DIDAR - MAK Room 10, 43 GOrdon Sq.

MARKOJA-SLAWINSKA 402 Malet street

SLUKA-WALKER 458 Malet street

WALL- ZAMFIR G03 Clore Management

Practice Test Excel 15/2 6:00 – 7:30 ADEWALE-DIAS B43

DIDAR - MAK Room 10, 43 Gordon Sq.

7:30-9:00 MARKOJA-SLAWINSKA B43

SLUKA- ZAMFIR Room 10, 43, Gordon Sq.

Practice Test SPSS 14/3 6:00 – 7:30 ADEWALE-DIAS B43

DIDAR - MAK Room 10, 43 Gordon Sq.

7:30-9:00 MARKOJA-SLAWINSKA B43

SLUKA- ZAMFIR Room 10, 43, Gordon Sq.

Documents

An Introduction to SPSS