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Performing Data Analysis Using IBM SPSS (Paperback, New)
Loot Price: R3,627
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Performing Data Analysis Using IBM SPSS (Paperback, New)
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Features easy-to-follow insight and clear guidelines to perform
data analysis using IBM SPSS® Performing Data Analysis Using IBM
SPSS® uniquely addresses the presented statistical procedures with
an example problem, detailed analysis, and the related data sets.
Data entry procedures, variable naming, and step-by-step
instructions for all analyses are provided in addition to IBM SPSS
point-and-click methods, including details on how to view and
manipulate output. Designed as a user’s guide for students and
other interested readers to perform statistical data analysis with
IBM SPSS, this book addresses the needs, level of sophistication,
and interest in introductory statistical methodology on the part of
readers in social and behavioral science, business, health-related,
and education programs. Each chapter of Performing Data Analysis
Using IBM SPSS covers a particular statistical procedure and offers
the following: an example problem or analysis goal, together with a
data set; IBM SPSS analysis with step-by-step analysis setup and
accompanying screen shots; and IBM SPSS output with screen shots
and narrative on how to read or interpret the results of the
analysis. The book provides in-depth chapter coverage of: IBM SPSS
statistical output Descriptive statistics procedures Score
distribution assumption evaluations Bivariate correlation
Regressing (predicting) quantitative and categorical variables
Survival analysis t Test ANOVA and ANCOVA Multivariate group
differences Multidimensional scaling Cluster analysis Nonparametric
procedures for frequency data Performing Data Analysis Using IBM
SPSS is an excellent text for upper-undergraduate and
graduate-level students in courses on social, behavioral, and
health sciences as well as secondary education, research design,
and statistics. Also an excellent reference, the book is ideal for
professionals and researchers in the social, behavioral, and health
sciences; applied statisticians; and practitioners working in
industry.
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