by Samuel Green and Neil J. Salkind
List price: $105.75
Price | Condition | Seller | Comments |
---|
Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.
The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task. They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Here, in Using SPSS for Windows and Macintosh 5e, Samuel Green and Neil Salkind have written a text to specifically address these issues. Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.
Introducing SPSS | p. 1 |
Getting started with SPSS | p. 1 |
Starting SPSS | p. 2 |
The SPSS main menus and toolbar | p. 5 |
Using SPSS help | p. 13 |
A brief SPSS tour | p. 18 |
Creating and working with data files | p. 23 |
Defining variables | p. 24 |
Entering and editing data | p. 30 |
Inserting and deleting cases and variables | p. 36 |
Selecting, copying, cutting, and pasting data | p. 40 |
Printing and exiting an SPSS data file | p. 45 |
Exporting and importing SPSS data | p. 48 |
Validating SPSS data | p. 53 |
Working with data | p. 58 |
Finding values, variables, and cases | p. 59 |
Recoding data and computing values | p. 62 |
Sorting, transposing, and ranking data | p. 68 |
Splitting and merging files | p. 72 |
Working with SPSS graphs and output for windows | p. 77 |
Creating an SPSS graph | p. 78 |
Enhancing SPSS graphs | p. 84 |
Using the viewer and pivot tables | p. 95 |
Working with SPSS charts and output for the Macintosh | p. 103 |
Creating an SPSS chart | p. 104 |
Enhancing SPSS charts | p. 110 |
Using the viewer | p. 118 |
Working with SPSS procedures | p. 122 |
Creating variables and computing descriptive statistics | p. 122 |
Creating variables | p. 125 |
Univariate descriptive statistics for qualitative variables | p. 138 |
Univariate descriptive statistics for quantitative variables | p. 146 |
t Test procedures | p. 162 |
One-sample t test | p. 163 |
Paired-samples t test | p. 169 |
Independent-samples t test | p. 175 |
Univariate and multivariate analysis-of-variance techniques | p. 182 |
One-way analysis of variance | p. 183 |
Two-way analysis of variance | p. 192 |
One-way analysis of covariance | p. 209 |
One-way multivariate analysis of variance | p. 222 |
One-way repeated-measures analysis of variance | p. 232 |
Two-way repeated-measures analysis of variance | p. 242 |
Correlation, regression, and discriminant analysis procedures | p. 256 |
Pearson product-moment correlation coefficient | p. 257 |
Partial correlations | p. 265 |
Bivariate linear regression | p. 275 |
Multiple linear regression | p. 285 |
Discriminant analysis | p. 300 |
Scaling procedures | p. 312 |
Factor analysis | p. 313 |
Internal consistency estimates of reliability | p. 325 |
Item analysis using the reliability procedure | p. 335 |
Nonparametric procedures | p. 349 |
Binomial test | p. 350 |
One-sample chi-square test | p. 357 |
Two-way contingency table analysis using crosstabs | p. 366 |
Two independent-samples test : the Mann-Whitney U test | p. 377 |
K independent-samples tests : the Kruskal-Wallis and the median tests | p. 383 |
Two related-samples tests : the McNemar, the sign, and the Wilcoxon tests | p. 395 |
K related-samples tests : the Friedman and the Cochran tests | p. 406 |
Data for crab scale and teacher scale | p. 415 |
Methods for controlling type I error across multiple hypothesis tests | p. 417 |
Selected answers to lesson exercises | p. 420 |
Table of Contents provided by Blackwell. All Rights Reserved. |
Samuel Green and Neil J. Salkind
ISBN13: 978-0131890251Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.
The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task. They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Here, in Using SPSS for Windows and Macintosh 5e, Samuel Green and Neil Salkind have written a text to specifically address these issues. Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.
Table of Contents
Introducing SPSS | p. 1 |
Getting started with SPSS | p. 1 |
Starting SPSS | p. 2 |
The SPSS main menus and toolbar | p. 5 |
Using SPSS help | p. 13 |
A brief SPSS tour | p. 18 |
Creating and working with data files | p. 23 |
Defining variables | p. 24 |
Entering and editing data | p. 30 |
Inserting and deleting cases and variables | p. 36 |
Selecting, copying, cutting, and pasting data | p. 40 |
Printing and exiting an SPSS data file | p. 45 |
Exporting and importing SPSS data | p. 48 |
Validating SPSS data | p. 53 |
Working with data | p. 58 |
Finding values, variables, and cases | p. 59 |
Recoding data and computing values | p. 62 |
Sorting, transposing, and ranking data | p. 68 |
Splitting and merging files | p. 72 |
Working with SPSS graphs and output for windows | p. 77 |
Creating an SPSS graph | p. 78 |
Enhancing SPSS graphs | p. 84 |
Using the viewer and pivot tables | p. 95 |
Working with SPSS charts and output for the Macintosh | p. 103 |
Creating an SPSS chart | p. 104 |
Enhancing SPSS charts | p. 110 |
Using the viewer | p. 118 |
Working with SPSS procedures | p. 122 |
Creating variables and computing descriptive statistics | p. 122 |
Creating variables | p. 125 |
Univariate descriptive statistics for qualitative variables | p. 138 |
Univariate descriptive statistics for quantitative variables | p. 146 |
t Test procedures | p. 162 |
One-sample t test | p. 163 |
Paired-samples t test | p. 169 |
Independent-samples t test | p. 175 |
Univariate and multivariate analysis-of-variance techniques | p. 182 |
One-way analysis of variance | p. 183 |
Two-way analysis of variance | p. 192 |
One-way analysis of covariance | p. 209 |
One-way multivariate analysis of variance | p. 222 |
One-way repeated-measures analysis of variance | p. 232 |
Two-way repeated-measures analysis of variance | p. 242 |
Correlation, regression, and discriminant analysis procedures | p. 256 |
Pearson product-moment correlation coefficient | p. 257 |
Partial correlations | p. 265 |
Bivariate linear regression | p. 275 |
Multiple linear regression | p. 285 |
Discriminant analysis | p. 300 |
Scaling procedures | p. 312 |
Factor analysis | p. 313 |
Internal consistency estimates of reliability | p. 325 |
Item analysis using the reliability procedure | p. 335 |
Nonparametric procedures | p. 349 |
Binomial test | p. 350 |
One-sample chi-square test | p. 357 |
Two-way contingency table analysis using crosstabs | p. 366 |
Two independent-samples test : the Mann-Whitney U test | p. 377 |
K independent-samples tests : the Kruskal-Wallis and the median tests | p. 383 |
Two related-samples tests : the McNemar, the sign, and the Wilcoxon tests | p. 395 |
K related-samples tests : the Friedman and the Cochran tests | p. 406 |
Data for crab scale and teacher scale | p. 415 |
Methods for controlling type I error across multiple hypothesis tests | p. 417 |
Selected answers to lesson exercises | p. 420 |
Table of Contents provided by Blackwell. All Rights Reserved. |