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Author: Wim Janssens
Publisher: Pearson Education
Published: 2008
Total Pages: 460
ISBN-13: 9780273703839
DOWNLOAD EBOOKThis title contains working with SPSS, descriptive statistics, univariate tests, analysis of variance, linear regression analysis, logistic regression analysis, exploratory factor analysis, confirmatory factor analysis and path analysis using SEM, cluster analysis and multidimensional scaling techniques.
Author: Karine Charry
Publisher:
Published: 2016
Total Pages: 0
ISBN-13: 9781472477453
DOWNLOAD EBOOK4.2. Non-Hierarchical K-Means Clustering -- Managerial Problem and Dataset Description -- Data Analysis -- Interpretation -- 4.3. Profiling Clusters -- Managerial Recommendations -- Further Reading -- Chapter 5 Hypothesis Testing -- Objectives -- Fundamentals -- 5.1. Parametric Tests -- 5.1.1. One-Sample T Test -- Managerial Problem -- Translation of the Managerial Problem into Statistical Notions -- Hypotheses -- Dataset Description -- Data Analysis -- Interpretation -- Managerial Recommendations -- 5.1.2. Independent-Samples T Test -- Managerial Problem.
Author: Marko Sarstedt
Publisher: Springer
Published: 2014-08-07
Total Pages: 347
ISBN-13: 9783642539640
DOWNLOAD EBOOKThis accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22
Author: José Marcos Carvalho de Mesquita
Publisher: Routledge
Published: 2021-11-01
Total Pages: 224
ISBN-13: 1000481743
DOWNLOAD EBOOKMarketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique that can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques’ applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context.
Author: Rachad Antonius
Publisher: SAGE
Published: 2003-01-22
Total Pages: 336
ISBN-13: 9780761973997
DOWNLOAD EBOOKThis 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.
Author: Eelko Huizingh
Publisher: SAGE
Published: 2007-01-24
Total Pages: 368
ISBN-13: 1446223000
DOWNLOAD EBOOKAccessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text′s self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Author: Karine Charry
Publisher: Routledge
Published: 2016-07-15
Total Pages: 265
ISBN-13: 1315525526
DOWNLOAD EBOOKMarketing researchers, companies and business schools need to be able to use statistical procedures correctly and accurately interpret the outputs, yet generally these people are scared off by the statistics behind the different analyses procedures, thus they often rely on external sources to come up with profound answers to the proposed research questions. In an accessible and step by step approach, the authors show readers which procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics. IBM® is one of the largest statistical software providers world-wide and their IBM® SPSS Statistics software offers a very user-friendly environment. The program uses a simple drag-and-drop menu interface, which is also suitable for non-experienced programmers. It is widely employed in companies and many business schools also use this software package. This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are taught; all researchers analyzing survey-based data in a wide range of frontier domains like psychology, finance, accountancy, negotiation, communication, sociology, criminology, management, information systems, etc. IBM®'s next-generation business analytic solutions help organizations of all sizes make sense of information in the context of their business. You can uncover insights more quickly and easily from all types of data-even big data-and on multiple platforms and devices. And, with self-service and built-in expertise and intelligence, you have the freedom and confidence to make smarter decisions that better address your business imperatives.
Author: Erik Mooi
Publisher: Springer Science & Business Media
Published: 2011-02-01
Total Pages: 324
ISBN-13: 3642125417
DOWNLOAD EBOOKThis accessible, practice-oriented and compact text provides a hands-on introduction to the principles of market research. Using the market research process as a framework, the authors explain how to collect and describe the necessary data and present the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and cluster analysis. An explanation is provided of the theoretical choices a market researcher has to make with regard to each technique, as well as how these are translated into actions in IBM SPSS Statistics. This includes a discussion of what the outputs mean and how they should be interpreted from a market research perspective. Each chapter concludes with a case study that illustrates the process based on real-world data. A comprehensive web appendix includes additional analysis techniques, datasets, video files and case studies. Several mobile tags in the text allow readers to quickly browse related web content using a mobile device.
Author: Yoram Wind
Publisher: Springer Science & Business Media
Published: 2013-06-05
Total Pages: 343
ISBN-13: 0387286926
DOWNLOAD EBOOKMarketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.
Author: Kenneth E. Clow
Publisher: SAGE Publications
Published: 2013-01-09
Total Pages: 521
ISBN-13: 1452299625
DOWNLOAD EBOOKEssentials of Marketing Research: Putting Research into Practice, an exciting new practical guide by Kenneth E. Clow and Karen E. James offers a hands-on, applied approach to developing the fundamental data analysis skills necessary for making better management decisions using marketing research results. Each chapter opens by describing an actual research study related to the chapter content, with rich examples of contemporary research practices skillfully drawn from interviews with marketing research professionals and published practitioner studies. Clow and James explore the latest research techniques, including social media and other online methodologies, and they examine current statistical methods of analyzing data. With emphasis on how to interpret marketing research results and how to use those findings to make effective management decisions, the authors offer a unique learning-by-doing approach to understanding data analysis, interpreting data, and applying results to decision-making.
