Introduction to SPSS

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Introduction to SPSS

• Eli Katsiri
• School of Computer Science and Information Systems

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Summary of Lecture

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

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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.

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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.

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HELP
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Tutorial
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Statistics Coach
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Variance Distribution
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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.

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Variables(2)

• For SPSS-format data files created in earlier
  versions of SPSS products, the following rules
  apply
• String (alphanumeric) variables are set to
  nominal.
• String and numeric variables with defined value
  labels are set to ordinal.
• Numeric variables without defined value labels
  but less than a specified number of unique values
  are set to ordinal.
• Numeric variables without defined value labels
  and more than a specified number of unique values
  are set to scale.
• The default number of unique values is 24. To
  change the specified value, change the
  interactive chart options (from the Edit menu,
  choose Options and click the Interactive tab).

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Descriptive Statistics
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Histograms
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Summary of Lecture

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

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Practice Test Excel 8/2

• (7.30-9 only)
• ADEWALE-DIAS  B43DIDAR - MAK   Room 10, 43
  GOrdon Sq.MARKOJA-SLAWINSKA  402 Malet
  streetSLUKA-WALKER 458 Malet streetWALL- ZAMFIR
  G03 Clore Management

44
Practice Test Excel 15/2

• 600 730
• ADEWALE-DIAS  B43DIDAR - MAK   Room 10, 43
  Gordon Sq.
• 730-900
• MARKOJA-SLAWINSKA  B43SLUKA- ZAMFIR Room 10,
  43, Gordon Sq.

45
Practice Test SPSS 14/3

• 600 730
• ADEWALE-DIAS  B43DIDAR - MAK   Room 10, 43
  Gordon Sq.
• 730-900
• MARKOJA-SLAWINSKA  B43SLUKA- ZAMFIR Room 10,
  43, Gordon Sq.