This is a guide to the statistical procedures in SPSS Base 7.5, containing several examples for each procedure, starting with default operations and proceeding to the most commonly-used optional specifications. This text also discusses the assumptions required by each procedure, checking the data for those assumptions, and finding strategies to deal with data which does not meet required assumptions.
This book is designed to be used with the SPSS Base 9.0 for Windows User's Guide. This guide to the statistical procedures in SPSS Base 9.0 contains several examples for each procedure, starting with default operations and moving on through the most commonly used optional specifications. It discusses the assumptions required by each procedure, checking the data for those assumptions, and finding strategies to deal with data that do not meet the required assumptions. The bulk of this guide focuses on the output, on understanding what the statistics mean and how the different statistics relate to each other. After reading this book, a user with limited statistical experience should have a much stronger ability to evaluate the different numbers that appear in the output and to understand the description they provide of the variable or relationship being analyzed.
B>KEY BENEFIT: " After reading this book, a user with limited statistical experience should have a stronger ability to understand the description they provide of the variable or relationship being described. This guide to the statistical procedures in SPSS Base 8.0 contains several examples for each procedure, starting with default operations and moving on through the most commonly used optional specifications. It discusses the assumptions required by each procedure, checking the data for these assumptions, and finding strategies to deal with data that do not meet required assumptions. The bulk of this guide focuses on output, on understanding what the statistics mean and how the different statistics relate to each other. The book is designed to be used with the SPSS Base 8.0 User's Guide.
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output. 'An excellent introduction to using SPSS for data analysis. It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.' - Associate Professor George Dunbar, University of Warwick 'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash University A website with support materials for students and lecturers is available at www.spss.allenandunwin.com
This Guide provides a set of tutorials designed to acquaint the beginning user with the various components of the SPSS system. This manual can be used in sequence or as a reference for additional information. It is a supplement to the on-line tutorial that is included with the SPSS 10.0 software. The guide provides introductions to using the Help System and Data Editor, importing your data into SPSS, working with statistics and output, creating charts with SPSS 10.0's interactive graphics, modifying data values, working with syntax and data files, calculating new data valuse, sorting and selecting data, and brief introductions to topics such as the SPSS 10.0 ANOVA models and regression analysis. Included free in the SPSS 10.0 for Windows Student Software package.
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Susan B. Gerber, Ph.D. is Research Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.
Get the advantage you need to compete in the worldwide food and wine tourism marketplace! Wine, Food, and Tourism Marketing is an overview of contemporary practices and trends in food and wine tourism marketing. International in scope, the book draws on studies from Canada, England, France, New Zealand, South Africa, and Scotland for analyses of contemporary practices and trends that help you develop, implement, and maintain strategic competitive advantages. The book looks at case studies of business operations, seasonality, destination image, and the development of business networks. Equally valuable as a professional resource for practitioners and as a textbook for upper-level and graduate students in tourism, hospitality, and wine and food studies, Wine, Food, and Tourism Marketing examines the importance of food and wine tourism to rural regional development. The book presents destination management planning and marketing initiatives for specific markets that can be easily adapted and applied to a wider range of wine tourism settings. Tourism marketing researchers and academics address vital issues such as the importance of collective marketing strategies, viticulture, design factors for online tourism information, and the use of food images in promotional material and positioning strategies. The book includes: a 2001 research study on French public sector management of wine tourism an examination of the cider industry in Somerset, England a look at the implications of non resident tourist markets on British Columbia’s emerging wine tourism industry an analysis of the types of food images used in French regional tourism brochures a national study of seasonality issues on wine tourism in New Zealand a look at post-apartheid tourism trends on South Africa’s Western Cape a survey of eight wineries on the Niagara Falls wine route with implications for marketing strategies a study of the use of local and regional food for destination marketing of South Africa a look at how food-related tourism in the United Kingdom is being promoted using the World Wide Web Wine, Food, and Tourism Marketing is an essential read for practitioners and educators involved in tourism and hospitality, marketing, food and wine studies, and rural regional development.
