Cheng Zeng – författare

A step-by-step guide through various stages of data preparation and analysis, this text demonstrates descriptive and inferential statistics in communication studies.This book equips communication students with the tools they need to engage in quantitative research, ensuring that they understand why the statistical tools they chose are most appropriate for their data. Using examples and data directly relevant to communication researchers, this text provides guidance on how to use and interpret SPSS and write up results, with further guidance via free online material in using Excel and R. Instead of focusing on formulas and in-depth mathematics, this book provides a hands-on approach to understanding the theory, practice, and application of statistical methods in communication. In addition to covering the standard statistical tools used to analyze social science data for hypothesis testing (e.g., correlation, regression, ANOVA), it also covers advanced factor-analytic techniques specific to measurement validation as well as data visualization guidance.Ideally suited for statistics or quantitative methods courses in communication studies programs at the advanced and graduate level.Online resources include tutorials on SPSS, Excel, and R for key constructs and practice quizzes for students. Instructors will find an instructor manual and test bank. Please visit www.routledge.com/9781032814872.

A step-by-step guide through various stages of data preparation and analysis, this text demonstrates descriptive and inferential statistics in communication studies.This book equips communication students with the tools they need to engage in quantitative research, ensuring that they understand why the statistical tools they chose are most appropriate for their data. Using examples and data directly relevant to communication researchers, this text provides guidance on how to use and interpret SPSS and write up results, with further guidance via free online material in using Excel and R. Instead of focusing on formulas and in-depth mathematics, this book provides a hands-on approach to understanding the theory, practice, and application of statistical methods in communication. In addition to covering the standard statistical tools used to analyze social science data for hypothesis testing (e.g., correlation, regression, ANOVA), it also covers advanced factor-analytic techniques specific to measurement validation as well as data visualization guidance.Ideally suited for statistics or quantitative methods courses in communication studies programs at the advanced and graduate level.Online resources include tutorials on SPSS, Excel, and R for key constructs and practice quizzes for students. Instructors will find an instructor manual and test bank. Please visit www.routledge.com/9781032814872.

A step-by-step guide through various stages of data preparation and analysis, this text demonstrates descriptive and inferential statistics in communication studies.This book equips communication students with the tools they need to engage in quantitative research, ensuring that they understand why the statistical tools they chose are most appropriate for their data. Using examples and data directly relevant to communication researchers, this text provides guidance on how to use and interpret SPSS and write up results, with further guidance via free online material in using Excel and R. Instead of focusing on formulas and in-depth mathematics, this book provides a hands-on approach to understanding the theory, practice, and application of statistical methods in communication. In addition to covering the standard statistical tools used to analyze social science data for hypothesis testing (e.g., correlation, regression, ANOVA), it also covers advanced factor-analytic techniques specific to measurement validation as well as data visualization guidance.Ideally suited for statistics or quantitative methods courses in communication studies programs at the advanced and graduate level.Online resources include tutorials on SPSS, Excel, and R for key constructs and practice quizzes for students. Instructors will find an instructor manual and test bank. Please visit www.routledge.com/9781032814872.

A step-by-step guide through various stages of data preparation and analysis, this text demonstrates descriptive and inferential statistics in communication studies.This book equips communication students with the tools they need to engage in quantitative research, ensuring that they understand why the statistical tools they chose are most appropriate for their data. Using examples and data directly relevant to communication researchers, this text provides guidance on how to use and interpret SPSS and write up results, with further guidance via free online material in using Excel and R. Instead of focusing on formulas and in-depth mathematics, this book provides a hands-on approach to understanding the theory, practice, and application of statistical methods in communication. In addition to covering the standard statistical tools used to analyze social science data for hypothesis testing (e.g., correlation, regression, ANOVA), it also covers advanced factor-analytic techniques specific to measurement validation as well as data visualization guidance.Ideally suited for statistics or quantitative methods courses in communication studies programs at the advanced and graduate level.Online resources include tutorials on SPSS, Excel, and R for key constructs and practice quizzes for students. Instructors will find an instructor manual and test bank. Please visit www.routledge.com/9781032814872.

This book constitutes the joint refereed proceedings of the three workshops held in conjunction with the 7th International Conference on Web Information Systems, WISE 2006, in Wuhan, China, in October 2006.A total of 90 papers were submitted to the three workshops, and 31 revised full papers were carefully selected for presentation. The Workshop on Web Information Access and Digital Library (WIADL 2006) - which aims at improving and facilitating Web information access by using digital libraries - included 14 out of 41 submissions. The Workshop of Web-Based Massive Data Processing (WMDP 2006) accounted for 13 papers, from 39 papers submitted. It discusses how to effectively and efficiently collect, extract, store, index, query and analyze massive data that has been accumulated in many web-based applications such as deep Web applications and Web search engines. The Workshop on Advances in Web-based Learning included 4 presentations selected from 10 submissions. New ideas on Web-based learning are presented - using the Web to access vast amount of information and resources - that allow implementing a range of new teaching and learning practices.