This is the perfect companion for students who are learning to use the SPSS software to interpret and manage data. Students will appreciate author William E. Wagner-Huang’s step-by-step explanations of SPSS operating procedures and introductory statistical operations. The Eighth Edition uses version 29 of the software and incorporates results from the 2022 General Social Survey (GSS) as a dataset used in examples throughout the book. In response to user feedback, the autho...

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired withany undergraduate introduction to researchmethods text used by students in a varietyof disciplines. It introduces students tostatistics at the conceptual level—examining the meaning of statistics, and whyresearchers use a particular statisticaltechnique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as test...

This text provides a practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Students get step-by-step instruction on data analysis using the latest version of SPSS and the most current General Social Survey data. The text starts with an introduction to computerized data analysis and the social research process, then walks users through univariate, bivariate, and multivariate analysis using SPSS. The book contains applications from ...

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text ...

Unique in its integration of theory and application, this comprehensive book explains survey design, implementation, data analysis, and continuing data management, including how to effectively incorporate the latest technology (e.g., SurveyMonkey and Qualtrics). Data management and analysis are demonstrated and explained through statistical software including SPSS, SAS, and STATA. In addition to helping students develop a complete understanding of survey research from start to finish, the ...