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Kursbeskrivning: Presenting Data with IBM SPSS Tables: Introduction - ILO

Kursen har inget datum. Ring vår kursbokning 077 186 10 37 för information om en privat utbildning.

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Kurskod 0L115SE Leveranstyp Instructor Led - Online Training
(Hands-on labs)
Kurslängd 1.0 dagar Kurstyp
Listpris SEK 4 600,00 exkl moms
SEK 5 750,00 inkl moms
   

NOTE: This is a live, instructor-led online course. Do not make arrangements to travel.

IBM SPSS Education is pleased to offer you our courses in an exciting learning format, Instructor-led Online (ILO). You are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop.

In this introductory course you will focus on using the SPSS Tables module to create publication quality tables. You will use Tables to generate stub and banner tables as well as complex multi-page tables with multiple variables and a variety of statistics, including the following significance tests: chi-square tests, t tests, and z tests of proportions.

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Målgrupp

This basic course is for anyone wanting to have greater control over the creation, formatting and layout of tables by using the custom tables module to produce flexible, high quality, high impact tables.

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Förkunskaper

You should:

  • be PC literate and be familiar with the basics of operating IBM® SPSS® Statistics. This includes defining, entering and editing data, opening and saving data files, generating basic exploratory statistics (including frequency tables, basic crosstabulations and tables of means) and editing and saving output
  • understand the difference between categorical and scale data types. These techniques must have been used in a recent version of IBM® SPSS® Statistics

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Mål

Please refer to course overview.

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Nyckelområden

  • Introduction to SPSS Tables
  • Quick Tour
  • Tables for Categorical Variables
  • Stacking, Nesting and layers
  • Totals, Subtotals and Categories
  • Tables for Variables with Shared Categories
  • Tables for Scale Variables
  • Test Statistics
  • Multiple Response Sets

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