SPSS for Windows Step by Step: A Simple Guide and Reference 12. 0 Update / Edition 5

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Are you confused by SPSS?
Do you understand the concepts of statistics, but struggle with the computer analysis?
Are you tired of figuring out in hours what should only take you minutes?
Or are you just looking for a straightforward, comprehensive reference for SPSS?

SPSS for Windows Step by Step: A Simple Guide and Reference 12.0 Update efficiently shows you how to perform the most common data analysis procedures in SPSS. It is brief but comprehensive. The first part of the book explains the basics of creating and formatting a data set, and includes a chapter on graphs that accommodate the changes in SPSS 12.0. Chapters 6-28 explain, step-by-step, the most common procedures in the Base System Module and the Advanced and Regression Modules. Each chapter is arranged in three parts:

  • "Introduction" explains the following procedure at the general, conceptual level, avoiding excessive detail and excessive emphasis on computation.
  • "Step by Step" boxes and screen shots break down each procedure with clear references to tasks covered in previous chapters.
  • "Outcome" explains the output of what you have just performed and defines critical terms.
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Product Details

  • ISBN-13: 9780205452453
  • Publisher: Pearson Education
  • Publication date: 8/9/2004
  • Edition description: Older Edition
  • Edition number: 5
  • Pages: 400
  • Product dimensions: 8.50 (w) x 10.86 (h) x 0.87 (d)

Table of Contents

1 An overview of SPSS for Windows Step by Step 1
2 SPSS Windows processes : mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options option 9
3 Creating and editing a data file 27
4 Managing data : listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files 43
5 Graphs : creating and editing graphs and charts 67
6 Frequencies : frequencies, bar charts, histograms, percentiles 83
7 Descriptive statistics : measures of central tendency, variability, deviation from normality, size, and stability 95
8 Crosstabulation and chi-square ([chi][superscript 2]) analyses 105
9 The means procedure 115
10 Bivariate correlation : bivariate correlations, partial correlations, and the correlation matrix 123
11 The T test procedure : independent-samples, paired-samples, and one-sample tests 133
12 The one-way ANOVA procedure : one-way analysis of variance 143
13 General linear models : two-way analysis of variance 153
14 General linear models : three-way analysis of variance and the influence of covariates 161
15 Simple linear regression 177
16 Multiple regression analysis 191
17 Nonparametric procedures 207
18 Reliability analysis : coefficient alpha [alpha] and split-half reliability 221
19 Multidimensional scaling 233
20 Factor analysis 245
21 Cluster analysis 261
22 Discriminant analysis 277
23 General linear models : MANOVA and MANCOVA multivariate analysis of variance and covariance 293
24 General linear models : repeated-measures MANOVA : multivariate analysis of variance with repeated measures and within-subjects factors 309
25 Logistic regression 321
26 Hierarchical loglinear models 333
27 General loglinear models 347
28 Residuals : analyzing left-over variance 357
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