'An Introductory Guide to SPSS for Windows' develops SPSS skills through the use of sample programs that illustrate how to conduct the analyses typically found in an introductory statistics course.

Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.

This is the first book to provide the student of tourism, hospitality and events with all that they need to undertake statistical analysis using SPSS for research in their industry. Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations. Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader’s understanding. Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action. Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis.

"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis." Primary Health Care Research and Development "The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text ... with the purpose of giving them a foundation in statistics." William Evans, Institute of Technology Tralee, Ireland This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS. The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data. Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease. Topics covered include: Questionnaires and how to analyse them Coding the data for SPSS, setting up an SPSS database and entering the data Descriptive statistics and illustrating the data using graphs Cross-tabulation and the Chi-square statistic Correlation: examining relationships between interval data Examining differences between two sets of scores Reporting the results and presenting the data Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.

Designed for the complete novice, this title guides you through a sample analysis of survey data and shows you step-by-step how to use SPSS to complete it.

This comprehensive text is designed to help political science students learn what to research, why to research, and how to research. It integrates both the quantitative and qualitative approaches to research, including the most detailed coverage of qualitative methods currently available. The book provides specific instructions in the use of available statistical software programs such as Excel and SPSS. It covers such important topics as research design, specifying research problems, designing questionnaires and writing questions, designing and carrying out qualitative research, and analyzing both quantitative and qualitative research data. Copiously illustrated and thoroughly classroom tested, the book presents statistical methods in a conversational tone to help students surmount "math phobia."

Written in an easy-to-read, straightforward manner, Next Steps with SPSS introduces readers to intermediate and advanced SPSS skills. These skills are introduced and illustrated with sample programs designed to apply powerful techniques in data handling and analysis, with the output from these programs presented and interpreted. The book is organized so that it builds increasingly advanced syntax coding skills, starting with the handling of complex data files and then moving to coverage of looping and macro skills. The book then switches to more windows-oriented skills suitable for working with SPSS output (as in pivot tables and interactive graphics) and for running SPSS in an alternative mode (as in a production facility). The book then returns to coding skills by introducing the more advanced topics of the scripting facility (which has broad application to handling data and creating output) and the matrix command language.

`[Research for Development] is well-written and, at every stage, is well-documented with practical examples. The simplicity with which it is written adds to its value in that non-professional persons get well-aquainted with the research process. Every chapter in the book ends with highlighting of the main points made in that chapter... A further strength of the book is the inclusion of an appendix with a list of websites that deal with issues in the area of development research... the simplicity of its organization and message should appeal to people/researchers across disciplines' - Pakistan Development Review `Research for Development achieves the near impossible: it provides vast quantities of useful guidance for almost anyone involved in research for development regardless of the size of your research project or your role within that project' - Arvac Bulletin `Written by professional researchers, this immensely practical book provides development workers with a more research-oriented point of view, so that they can avoid mistakes in the design of programmes. It will also help them to understand people's needs and respond accordingly' - The Asian Age `It is a beautiful and comprehensive compilation giving scores of instances that prove the essentiality if carrying out a survey of a particular locality for bringing about a change there' - Rafique Jalal, DAWN This book provides a comprehensive introduction and handbook for undertaking and managing research in development. It is designed to provide both a quick reference manual and an indispensable learning tool for all students, researchers and practitioners engaged in development work. The text is divided into two parts: Managing research for development, and Doing research for development. Together the two parts review the complete research process from outlining the essential role and purpose of research, highlighting specific issues to development research, to demonstrating how to evaluate and secure the best results from subsequent research projects. The book includes: an overview of different types of research in development work; practical steps to writing a brief and managing research; practical steps to evaluating and promoting research findings; step by step guides to getting started and choosing a research method; detailed guidelines to seven key research techniques; examples, exercises, summaries and checklists; and glossary and guides to additional resources and packages Drawing on considerable hands-on experience, Research for Development will be an essential companion and invaluable tool for anyone engaged in contemporary development research, development work and development studies.

A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. New features in this Sixth Edition include: * Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas * Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software * New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS * New chapters on multiple comparisons and repeated-measures ANOVA

Uses the statistical analysis programme SPSS to analyze patient outcomes data and create graphs summarizing this data.