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Keith McCormick
Jesus Salcedo
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Published:
September 9, 2020

SPSS Statistics For Dummies

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Overview

The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences

Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.

Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. 

  • Master the fundamental mechanics of SPSS
  • Learn how to get data into and out of the program
  • Graph and analyze your data more accurately and efficiently
  • Program SPSS with Command Syntax 

Get ready to start handling data like a pro—with step-by-step instruction and expert advice!

 

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About The Author

Jesus Salcedo is an independent statistical and data-mining consultant who has been using SPSS products for more than 25 years. He has written numerous SPSS courses and trained thousands of users. Keith McCormick has been all over the world training and consulting in all things SPSS, statistics, and data mining. He now authors courses on the LinkedIn Learning platform and coaches executives on how to effectively manage their analytics teams.

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spss statistics for dummies

CHEAT SHEET

SPSS is an application that performs statistical analysis on data. Entering and manipulating information in the application can be done by using SPSS’s proprietary language, which is known as the Syntax command language, or more commonly, as Syntax. The language is quite like other programming languages, and it allows you to define variables (or use predefined ones), and to use them within statements, or to evaluate them with relational or logical operators.
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Our 10 gotchas serve as a checklist of potential causes of your SPSS Statistics woes. Some just waste your time, but others can both waste your time and ruin your analysis. This list reinforces the importance of avoiding these common issues so you can efficiently use SPSS.Some of these 10 gotchas can be confusing at first.
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You have a surprising variety of options in acquiring your own copy of SPSS Statistics, with a focus on the different ways of licensing SPSS. However, if you either need to secure a copy or if simply want to better understand what’s out there, this article will help you find the best version of SPSS for you. Licensing is not the only choice, but it is the first big choice you have to make.
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After you bring data into SPSS Statistics, the next step is to select a procedure. The Analyze menu contains a list of reporting and statistical analysis categories. Most of the categories are followed by an arrow, which indicates that several analytical procedures are available in the category; these appear on a submenu when the category is selected.
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In this example, you start SPSS Statistics Version 27 and then open up a dataset (in this case, the bankloan.sav data file). You get a brief look at the SPSS graphic user interface.To begin, follow these steps: Choose Start→All Programs→IBM SPSS Statistics→SPSS Statistics 27. The SPSS Welcome dialog shown here appears.
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When conducting a statistical test, too often people jump to the conclusion that a finding “is statistically significant” or “is not statistically significant.” Although that is literally true, it doesn't imply that only two conclusions can be drawn about a finding.What if in the real world no relationship exists between the variables, but the test found that there was a significant relationship?
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IBM SPSS Statistics comes in the form of a base system, but you can acquire additional modules to add to that system. SPSS is available in various licensing editions: the campus editions, subscription plans, and commercial editions. Although the pricing and various bundles differ for each, they all enable you to include the same add-on modules.
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SPSS is an application that performs statistical analysis on data. Entering and manipulating information in the application can be done by using SPSS’s proprietary language, which is known as the Syntax command language, or more commonly, as Syntax. The language is quite like other programming languages, and it allows you to define variables (or use predefined ones), and to use them within statements, or to evaluate them with relational or logical operators.
Read More
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When choosing a graph, you need to know the level of measurement of the variables. The following table shows some of the graphs that can be used to display relationships between different types of variables. Categorical Dependent Scale Dependent Categorical Independent Clustered bar or paneled pie Error bar
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The following table provides a list of some of the most commonly used procedures in the Analyze menu in SPSS Statistics. Menu Submenu Useful For Code Book Reports Provides a quick look at all your variables at once. The level of measurement automatically controls which summary statistics are displayed. Frequencies Descriptives Tells you how many of each category value you have.
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IBM SPSS Statistics is an application that performs statistical analysis on data. To perform statistical analyses correctly, you need to know the level of measurement of the variables because it defines which summary statistics and graphs should be used. It also helps to know the most commonly used procedures in the Analyze menu and possible conclusions that you can reach after conducting a statistical test.
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Level of measurement defines which summary statistics and graphs should be used. The following table provides definitions, examples, appropriate summary statistics, and graphs for variables based on their level of measurement. Nominal Ordinal Scale Definition Unordered categories Ordered categories Both inte
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