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Geared toward social and behavioural statistics students, especially those with no background in computer science, this handy guide contains basic information on statistics in the R language.
An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
Do you need to conduct data analysis with SPSS but are unfamiliar with the software? This book helps you become proficient in SPSS by teaching you the... Læs mere
Introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the... Læs mere
Focussing on applied knowledge and providing straightforward coverage of R objects and functions, this introduction helps students with little or no background in statistics or programming to develop real-world R skills.
Provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions
This book presents an overview of common SPSS commands and contains a collection of more or less independent sections to help readers find the specific information they need.
This book provides the very basics for understanding SPSS and how to use it when analyzing data, and contains a number of examples of how to work with Versions 20-23.
Walking the reader through the steps of statistical tests and providing data sets and screen shots from SPSS, this student-friendly book helps students to successfully use statistical tests in SPSS, interpret the results and also to understand statistical concepts.
This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used.