Susan B. Gerber, Kristin Voelkl Finn

Using SPSS for Windows

Data Analysis and Graphics

• Broschiertes Buch

Produktbeschreibung

This book is a self-teaching guide to the SPSS for Windows computer application. It is designed to be used with SPSS version 13.0, although many of the procedures are also applicable to earlier versions of SPSS. The step-by-step format of this manual "walks" the reader through numerous examples, illustrating how to use the application. The results produced in SPSS are shown and discussed in most examples. Each chapter demonstrates statistical procedures and provides exercises to reinforce the text examples. This book may be used in two ways - as a stand-alone manual for a student learning to use SPSS for Windows or in a course together with a basic statistics text. As a stand-alone manual, it is assumed that the reader is familiar with the basic ideas of quantitative data and statistical analysis. Thus, statistical terminology is used without providing extensive definitions. Most of the applications in this book are self-explanatory, although the reader will need to refer to a text for extensive discussion of statistical theory and procedures.

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Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 10929667, 978-0-387-40083-9
• New ed.
• Seitenzahl: 228
• Erscheinungstermin: 25. März 2005
• Englisch
• Abmessung: 234mm x 177mm x 20mm
• Gewicht: 408g
• ISBN-13: 9780387400839
• ISBN-10: 0387400834
• Artikelnr.: 08032977

Autorenporträt

Susan B. Gerber, State University of New York, Buffalo, NY, USA / Kristin Voelkl Finn, Canisius College, Buffalo, NY

Inhaltsangabe

The Nature of SPSS.- Summarizing Data Graphically.- Summarizing Data Numerically: Measures of Central Tendency.- Summarizing Data Numerically: Measures of Variability.- Summarizing Multivariate Data: Association Between Numerical Variables.- Summarizing Multivariate Data: Association Between Categorical Variables.- Basic Ideas of Probability.- Probability Distributions.- Sampling Distributions.- Answering Questions About Population Characteristics.- Differences Between Two Populations.- Inference on Categorical Data.- Regression Analysis: Inference on Two or More Numerical Variables.- ANOVA: Comparisons of Several Populations.- Exploratory Factor Analysis.

Rezensionen

From a review:

THE AMERICAN STATISTICIAN

"The authors write well, and most concepts are explained clearly.

From the reviews of the second edition:

"It is a clearly written guide, suitable for undergraduates or maybe Masters level students with no prior experience of statistical analysis. The basic, important and necessary areas, such as probability, sampling, regression and analysis of variance are included, with enough detail (and reproduction of SPSS dialogue boxes and windows for up to version 13) to make the whole thing easy to follow." (Amanda Root, Journal of the Royal Statistical Society, Vol. 169 (4), 2006)