This breviary likewise addresses students as well as practitioners that are active in quantitative market research and applied statistics and data analysis in particular. It provides a pragmatic summary of all the most commonly implemented statistical methods and their implementation in the standard software package SPSS. Aside from an overview over the different methods, their practical use and support in interpreting the results the breviary provides a decision support sheet for finding the most suitable method to solve specific problems. It is completed by a set of video tutorials demonstrating the different methods in practical applications. The breviary supports practitioners in market research as a comprehensive reference book as well as students in their data analyses during term papers of theses.

"Its range is far broader than the majority of methods texts, being concerned with both human and physical geography... Given the seriousness with which Key Methods in Geography approaches all aspects of research, it will continue to find wide favour among undergraduate geographers." - Times Higher Education Textbook Guide "All geographers, whatever their interest, need to do research. This book will help them get started in the best possible way, with thoughtful advice on everything from project design, through choice of methods, to data analysis and presentation. The editors have assembled an impressive array of authors, all experts in their chosen field." - Tim Burt, University of Durham "Excellent book. Valuable teaching aid. Well written and covers a wide range of methods thoroughly." - Sue Rodway-Dyer, Exeter University "This is an excellent book and deals with a number of topics (which I teach) outside of the tutorial module where it is a recommended text for geographers. A very useful textbook throughout a 3 year Geography programme." - Ian Harris, Bangor University Key Methods in Geography is an introduction to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It is unique in the reference literature for providing an overview of qualitative and quantitative methods for human and physical geography. An accessible primer, it will be used by students as a reference throughout their degree, on all issues from research design to presentation. This second edition has been fully revised and updated and includes new chapters on internet mediated research, diaries as a research method, making observations and measurements in the field, and the analysis of natural systems. Organized into four sections: Getting Started in Geographical Research; Generating and Working with Data in Human Geography; Generating and Working with Data in Physical Geography; Representing and Interpreting Geographical Data; each chapter comprises: A short definition A summary of the principal arguments A substantive 5,000-word discussion Use of real-life examples Annotated notes for further reading. The teaching of research methods is integral to all geography courses: Key Methods in Geography, 2nd Edition explains all of the key methods with which geography undergraduates must be conversant.

This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Scientific Essay from the year 2011 in the subject Communications - Public Relations, Advertising, Marketing, Social Media, grade: 70%, The University of Surrey, language: English, abstract: This paper will look to analyse the use of the quantitative method of statistical analysis (SPSS) as a mode of data analysis for research purposes. It will aim to explain what is involved in the SPSS process by giving example to the Research Methods (RM) class dated 17th November 2010, ‘Fundamentals of Statistical Analysis I’, which involved the analysis of quantitative data through the use of the SPSS application. This will include what the exercise entailed, how data was generated for analysis using this method and how the method was executed. The discussion will then move on to describe some real life research question data that can be analysed using this method. The type of analysis to expect from SPSS will also be discussed. A discursive comparison of the SPSS method to the qualitative method of thematic analysis as a data analysis tool will be conducted at end of this paper; this will give light to the advantages and hindrances of the SPSS method. Babbie et al, (2003) explain SPSS as a ‘vehicle for discovering differences and relationships in data’, they state: “In many ways, SPSS is a vehicle for discovering differences and relationships in data, the same way a car is a vehicle for discovering places we have not yet visited...we plan the trip and set the directions. Similarly when we use SPSS, we choose the data we wish to explore and select the statistical procedures we wish to use...with SPSS commands. These commands instruct SPSS where to find our data, ways in which we want to modify the data, and the statistical procedures we want to use. (Babbie et al., 2003: 37)

The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how IBM SPSS Statistics can be used as a tool to aid analysis. Key Features of the Second Edition: * New chapters on ANOVA Factor Analysis and General Multilinear Model * IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice * Sets of exercises and 'real-life' examples to aid teaching and learning * Lists of key terms and further reading to ...