This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction.
SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to:
- Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts
- Make use of computational tools used by data analysis professionals.
- Focus on real-world application to apply concepts from the book to actual research
Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.
This website strictly complies with DMCA Digital Copyright Laws..
Please be clear that we (edownloads.me) do not own copyrights of these e-books. The intention behind sharing these books and educational material is to provide easy access to students, researchers and other readers who don't have access to these books at their local libraries, "thus only for educational purpose". We highly encourage our readers to purchase this content from the respected publishers. If anyone holding copyrights wants us to remove this content, please contact us rightaway. All books and educational material on edownloads.me are free and NOT HOSTED ON OUR WEBSITE. If you feel that your copyrights have been violated, then please contact us immediately. You may send an email to firstname.lastname@example.org for all DMCA / Removal Requests. edownloads.me doesn’t have any material hosted on the server of this page, only links to books that are taken from other sites on the web are published and these links are unrelated to the book server. edownloads.me server doesnot store any type of book or material. No illegal copies are made or any copyright © and / or copyright is damaged or infringed since all material is free on the internet.