Analyzing Multivariate Data

Analyzing Multivariate Data
Author: James M. Lattin
Publisher: Duxbury Press
Total Pages: 556
Release: 2003
Genre: Mathematics
ISBN: 9780534349745

Offering the latest teaching and practice of applied multivariate statistics, this text is perfect for students who need an applied introduction to the subject. Lattin, Carroll, and Green have created a text that speaks to the needs of applied students who have advanced beyond the beginning level, but are not advanced statistics majors. The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they providing illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.

Multivariate Data Analysis

Multivariate Data Analysis
Author: Joseph Hair
Publisher: Pearson Higher Ed
Total Pages: 816
Release: 2016-08-18
Genre: Business & Economics
ISBN: 0133792684

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Marketing Research

Marketing Research
Author: S.L. Gupta
Publisher: Excel Books India
Total Pages: 620
Release: 2004-05
Genre: Marketing research
ISBN: 9788174463456

Marketing Research is designed to serve as a textbook on marketing research and design for people studying or pursuing the discipline of management. The book contains Indian examples on Product Research, Consumer Research, Motivation Research, etc. It also includes more than 50 cases which would enable the reader in understanding even the most complex multivariate technique in a very simple manner.The book contains 20 chapters with computer based approach, the SPSS/PCT system, the use of which has also been described in this book. The content of the book makes it equally useful for both basic and advance course in Marketing Research. It is indispensable for students of MBA, M.Com, MBE, BBA, BBS, BCA, PGDBM, MCA, M Tech and practising marketing managers. It is a valuable reference source for research agencies.

Statistics for Marketing and Consumer Research

Statistics for Marketing and Consumer Research
Author: Mario Mazzocchi
Publisher: SAGE
Total Pages: 433
Release: 2008-05-22
Genre: Business & Economics
ISBN: 1446204014

Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling

Making Sense of Multivariate Data Analysis

Making Sense of Multivariate Data Analysis
Author: John Spicer
Publisher: SAGE
Total Pages: 256
Release: 2005
Genre: Mathematics
ISBN: 9781412904018

A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.

An Introduction to Applied Multivariate Analysis with R

An Introduction to Applied Multivariate Analysis with R
Author: Brian Everitt
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 2011-04-23
Genre: Mathematics
ISBN: 1441996508

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

The SAGE Encyclopedia of Communication Research Methods

The SAGE Encyclopedia of Communication Research Methods
Author: Mike Allen
Publisher: SAGE Publications
Total Pages: 2013
Release: 2017-04-11
Genre: Social Science
ISBN: 1483381420

Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version.

Modern Multivariate Statistical Techniques

Modern Multivariate Statistical Techniques
Author: Alan J. Izenman
Publisher: Springer Science & Business Media
Total Pages: 757
Release: 2009-03-02
Genre: Mathematics
ISBN: 0387781897

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Marketing Research

Marketing Research
Author: Carl McDaniel, Jr.
Publisher: John Wiley & Sons
Total Pages: 434
Release: 2020-11-10
Genre: Business & Economics
ISBN: 1119716314

Marketing Research: Using Analytics to Develop Market Insights teaches students how to use market research to inform critical business decisions. Offering a practitioner's perspective, thisfully-updated edition covers both marketing research theory and practice to provide students with a comprehensive understanding of the subject. A unique applications-based approach—grounded in the authors' 50 years' combined experience in the marketing research industry—features real data, real people, and real research to prepare students for designing, conducting, analyzing, and integrating marketing research in their future business careers. Already a standard text in marketing research courses, the twelfth edition contains thoroughly revised content that reflects the latest trends, practices, and research in the field. Numerous examples of companies and research firms, such as Twitter, ESPN, Ford, and General Motors, are featured throughout the text to illustrate how marketing research is gathered and used in the real world. Detailed yet accessible chapters examine topics including marketing intelligence, problem definition and exploratory research, big data and data analytics, online and social media marketing research, questionnaire design, statistical testing, and managing marketing research studies and teams.