Using IBM SPSS Statistics

Using IBM SPSS Statistics: an Interactive Hands-On Approach

by Aldrich, James O. Cunningham, James B.

Type Book
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Title Statements

  • Full title :Using IBM SPSS Statistics : an Interactive Hands-On Approach

Edition Statements

  • Publication Date:2015
  • Edition:2. ed

Publication Statements

  • Publisher(s):SAGE Publications
  • Place of Publication:Los Angeles
  • Language:eng
  • Publication Date:2015

Notes

"Using IBM SPSS Statistics" Second Edition by James O. Aldrich and James B. Cunningham is a concise, practical guide that can be used in conjunction with another text or as a self-instructional resource. With the assistance of ample screenshots, bullet points, and callouts, readers master SPSS by inputting and analyzing their own data, rather than simply opening existing databases. The Second Edition introduces advanced concepts such as Logistic Regression, Principal Components Factor Analysis, and more complex graphing methods. This edition is compatible with IBM SPSS versions through 23.

The Physical Object

  • Description:472 s. : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9781483383576, 1483383571
  • oclc:ocn927164733

Table of Contents

First Encounters -- Navigating in SPSS -- Getting Data In and Out of SPSS -- Levels of Measurement -- Entering Variables and Data and Validating Data -- Working With Data and Variables -- Using the SPSS Help Menu -- Creating Graphs for Nominal and/or Ordinal Data -- Graphs for Continuous Data -- Printing Data View, Variable View, and Output Viewer Screens -- Basic Descriptive Statistics -- One Sample t Test and a Binomial Test of Equality -- Independent-Samples t Test and Mann Whitney U Test -- Paired Samples t Test and Wilcoxon Test -- One Way ANOVA and Kruskal-Wallis Test -- Two Way (Factorial) ANOVA -- One Way ANOVA Repeated Measures Test and Friedman Test -- Analysis of Covariance -- Pearson's Correlation and Spearman's Correlation -- Single Linear Regression -- Multiple Linear Regression -- Logistic Regression -- Factor Analysis -- Chi Square Goodness of Fit -- Chi Square Test of Independence

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