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| causal research in marketing: New Methods of Market Research and Analysis G. Scott Erickson, 2017-10-27 New Methods of Market Research and Analysis prepares readers for the new reality posed by big data and marketing analytics. While connecting to traditional research approaches such as surveys and focus groups, this book shows how new technologies and new analytical capabilities are rapidly changing the way marketers obtain and process their information. In particular, the prevalence of big data systems always monitoring key performance indicators, trends toward more research using observation or observation and communication together, new technologies such as mobile, apps, geo-locators, and others, as well as the deep analytics allowed by cheap data processing and storage are all covered and placed in context. This book can be used as a supplement to a traditional marketing research text or on its own. |
| causal research in marketing: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 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. |
| causal research in marketing: Essentials of Marketing Research Kenneth E. Clow, Karen E. James, 2013-01-09 Essentials of Marketing Research takes an applied approach to the fundamentals of marketing research by providing examples from the business world of marketing research and showing students how to apply marketing research results. This text focuses on understanding and interpreting marketing research studies. Focusing on the 'how-to' and 'so what' of marketing research helps students understand the value of marketing research and how they can put marketing research into practice. There is a strong emphasis on how to use marketing research to make better management decisions. The unique feature set integrates data analysis, interpretation, application, and decision-making throughout the entire text. The text opens with a discussion of the role of marketing research, along with a breakdown of the marketing research process. The text then moves into a section discussing types of marketing research, including secondary resources, qualitative research, observation research, and survey research. Newer methods (e.g. using blogs or Twitter feeds as secondary resources and using online focus groups) are discussed as extensions of traditional methods such. The third section discusses sampling procedures, measurement methods, marketing scales, and questionnaires. Finally, a section on analyzing and reporting marketing research focuses on the fundamental data analysis skills that students will use in their marketing careers. Features of this text include: - Chapter Openers describe the results of a research study that apply to the topics being presented in that chapter. These are taken from a variety of industries, with a greater emphasis on social media and the Internet. - A Global Concerns section appears in each chapter, helping prepare students to conduct market research on an international scale.This text emphasizes the presentation of research results and uses graphs, tables, and figures extensively. - A Statistics Review section emphasizes the practical interpretation and application of statistical principles being reviewed in each chapter. - Dealing with Data sections in each chapter provide students with opportunities to practice interpreting data and applying results to marketing decisions. Multiple SPSS data sets and step-by-step instructions are available on the companion site to use with this feature. - Each Chapter Summary is tied to the chapter-opening Learning Objectives. - A Continuing Case Study follows a group of students through the research process. It shows potential trade-offs, difficulties and flaws that often occur during the implementation of research project. Accompanying case questions can be used for class discussion, in-class group work, or individual assignments. - End-of-Chapter Critical Thinking Exercises are applied in nature and emphasize key chapter concepts. These can be used as assignments to test students' understanding of marketing research results and how results can be applied to decision-making. - End-of-chapter Your Research Project provides more challenging opportunities for students to apply chapter knowledge on an in-depth basis, and thus olearn by doing. |
| causal research in marketing: Research Design Stephen Gorard, 2013-02-01 Research design is of critical importance in social research, despite its relative neglect in many methods resources. Early consideration of design in relation to research questions leads to the elimination or diminution of threats to eventual research claims, by encouraging internal validity and substantially reducing the number of alternative explanations for any finite number of research ′observations′. This new book: discusses the nature of design; gives an introduction to design notation; offers a flexible approach to new designs; looks at a range of standard design models; and presents craft tips for real-life problems and compromises. Most importantly, it provides the rationale for preferring one design over another within any given context. Each section is illustrated with case studies of real work and concludes with suggested readings and topics for discussion in seminars and workshops, making it an ideal textbook for postgraduate research methods courses. Based on the author′s teaching on the ESRC Doctoral Training Centre Masters in Research Methods at the University of Birmingham, and his ongoing work for the ESRC Researcher Development Initiative, this is an essential text for postgraduate researchers and academics. There is no book like Research Design on the market that addresses all of these issues in an easy to comprehend style, for those who want to design research and make critical judgements about the designs of others. |
| causal research in marketing: A Concise Guide to Market Research Erik Mooi, Marko Sarstedt, 2011-02-01 This 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. |
| causal research in marketing: Marketing Management Michael R. Czinkota, Masaaki Kotabe, Demetris Vrontis, S. M. Riad Shams, 2021-08-24 This textbook provides students with comprehensive insights on the classical and contemporary marketing theories and their practical implications. A fourth, revised edition of Marketing Management, the text features new classical and contemporary cases, new interdisciplinary and cross-functional implications of business management theories, contemporary marketing management principles and. futuristic application of marketing management theories and concepts. The core and complex issues are presented in a simplified manner providing students with a stimulating learning experience that enables critical thinking, understanding and future application. Each chapter features a chapter summary, key terms, review and discussion questions and a practice quiz. Throughout the text there are also specific teaching features to provide students and instructors with an enhanced pedagogical experience. These features include: The Manager’s Corner: These sections provide real-world examples that instructors may highlight to exemplify theory or as mini-cases for discussion. Marketing in Action: These sections ask students to apply concepts and theories to actual business situations. Web Exercises: These mini sections provide students with real world issues and suggest websites for more information. In addition, the authors provide ancillary lecture notes and Solution/Instructors manual online to aid instructors in their teaching activities. |
| causal research in marketing: Designing Research in the Social Sciences Martino Maggetti, Claudio Radaelli, Fabrizio Gilardi, 2012-12-18 This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way. |
| causal research in marketing: Research Foundations Douglas Woodwell, 2013-11-07 Designing research can be daunting and disorienting for novices. After experiencing this first-hand, the author has written a book that shows how to mentally frame research in a way that is understandable and approachable while also discussing some of the more specific issues that will aid the reader in understanding the options available when pursuing their research. Stressing the link between research and theory-building, this concise book shows students how new knowledge is discovered through the process of research. The author presents a model that ties together research processes across the various traditions and shows how different types of research interrelate. The book is sophisticated in its presentation, but uses plain language to provide an explanation of higher-level concepts in an engaging manner. Throughout the book, the author treats research methodologies as a blueprint for answering a wide range of interesting questions, rather than simply a set of tools to be applied. The book is an excellent guide for students who will be consumers of research and who need to understand how theory and research interrelate. The author did an excellent job on this text. This text is the missing link in explaining research methodologies. His comparison/contrasts are excellent. Moreover, the author provides interesting alternatives and discusses how each alternative might improve the validity of research. —James Anthos, South University, Columbia ...With only six chapters, the text can be covered in a short time allowing for students to spend the majority of their time investigating social issues and developing research. Students who read and understand this book will have the knowledge and resources to cover material they are unfamiliar with. —R. David Frantzreb II, University of North Carolina - Charlotte I am looking for something just like this that is not overbearing for the student but will complement the supplementary material and resources that I am using with my students. I think the coverage is broad enough that I could use it with all of my groups. —Karen Larwin, Youngstown State University ...I think the author’s emphasis on demonstrating the relationship between theory and research is terribly important and understated in so many other texts. I also think that in the hands of competent professors, it can be supplemented with other sources to help students learn while not being encumbered financially with an expensive tome for which they may only use a fraction of it. —John R. Mitrano, Central Connecticut State University |
| causal research in marketing: Causal Analysis with Panel Data Steven E. Finkel, 1995-01-17 Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without painting panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions. |
| causal research in marketing: How to Design and Report Experiments Andy Field, Graham Hole, 2002-12-20 How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, How to Design and Report Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses. |
| causal research in marketing: The Handbook of Marketing Research Rajiv Grover, Marco Vriens, 2006-06-23 The Handbook of Marketing Research comprehensively explores the approaches for delivering market insights for fact-based decision making in a market-oriented firm. |
| causal research in marketing: Statistical Approaches to Causal Analysis Matthew McBee, 2022-03-01 This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. |
| causal research in marketing: Marketing Research Bruce Wrenn, Robert E. Stevens, David L. Loudon, 2013-08-21 Teach your students the most effective research strategies—including Internet surveys! Over the last few years changes in the marketing research process have been dramatic and far-reaching with the emergence of the Internet and other technologies. Marketing Research: Text and Cases, Second Edition, the completely updated edition of the classic Haworth textbook not only takes students step-by-step through cutting-edge design, conducting, and interpreting of market research, but is now updated to include Internet surveying. The topic of marketing research is comprehensively examined, including strategic and tactical decisions, choosing the proper research design, and successfully presenting results. The book provides clear explanations of complex issues and includes helpful charts, graphs, figures, sample questionnaires, and case studies which make important points easier to grasp. The practice cases (including an SPSS 11.0 data disk) offer engaging real-world problems that test the student’s research and analysis skills. Marketing Research: Text and Cases, Second Edition includes the updated and improved instructor’s manual, test bank, and PowerPoint slides. A brand-new section details procedures on how to successfully perform and effectively use Internet surveys, and includes a list of online survey providers, bulk email providers, and sample emails to use with online surveys. Stressing a practical, “hands on” project approach to learning, this guide not only prepares students for real-world experiences, but allows practitioners who are preparing market analysis reports needing background material to guide them through the process. Marketing Research: Text and Cases, Second Edition offers all the course-planning extras you need, including: thorough instructor’s manual sample syllabus research project tips, assignments, and forms test bank with true-false and multiple choice questions also available: 20-30 PowerPoint slides per chapter Marketing Research: Text and Cases, Second Edition gives instructors the tools they need for thorough course planning and is an ideal textbook for introductory marketing research courses and for practitioners looking for a guidebook. |
| causal research in marketing: Encyclopedia of Research Design Neil J. Salkind, 2010-06-22 Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases.--Publisher's description. |
| causal research in marketing: Research Methods in Education Joseph Check, Russell K. Schutt, 2011-10-27 Research Methods in Education introduces research methods as an integrated set of techniques for investigating questions about the educational world. This lively, innovative text helps students connect technique and substance, appreciate the value of both qualitative and quantitative methodologies, and make ethical research decisions. It weaves actual research stories into the presentation of research topics, and it emphasizes validity, authenticity, and practical significance as overarching research goals. The text is divided into three sections: Foundations of Research (5 chapters), Research Design and Data Collection (7 chapters), and Analyzing and Reporting Data (3 chapters). This tripartite conceptual framework honors traditional quantitative approaches while reflecting the growing popularity of qualitative studies, mixed method designs, and school-based techniques. This approach provides a comprehensive, conceptually unified, and well-written introduction to the exciting but complex field of educational research. |
| causal research in marketing: The SAGE Handbook of Regression Analysis and Causal Inference Henning Best, Christof Wolf, 2013-12-20 ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis. |
| causal research in marketing: Critical Appraisal of Epidemiological Studies and Clinical Trials Mark Elwood, 2007-02-22 This book presents a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively. This system emphasizes the central importance of cause and effect relationships. Its great strength is that it is applicable to a wide range of issues, and both to intervention trials and observational studies. This system unifies the often different approaches used in epidemiology, health services research, clinical trials, and evidence-based medicine, starting from a logical consideration of cause and effect. The author's approach to the issues of study design, selection of subjects, bias, confounding, and the place of statistical methods has been praised for its clarity and interest. Systematic reviews, meta-analysis, and the applications of this logic to evidence-based medicine, knowledge-based health care, and health practice and policy are discussed. Current and often controversial examples are used, including screening for prostate cancer, publication bias in psychiatry, public health issues in developing countries, and conflicts between observational studies and randomized trials. Statistical issues are explained clearly without complex mathematics, and the most useful methods are summarized in the appendix. The final chapters give six applications of the critical appraisal of major studies: randomized trials of medical treatment and prevention, a prospective and a retrospective cohort study, a small matched case-control study, and a large case-control study. In these chapters, sections of the original papers are reproduced and the original studies placed in context by a summary of current developments. |
| causal research in marketing: Marketing Research Bruce Wrenn, Robert E. Stevens, David L. Loudon, 2007 This textbook takes students through each stage of designing and conducting marketing research and interpreting the resulting data. Topics include (for example) sample size, the interviewing relationship, hypothesis testing, and report formats. The second edition features a new section on using Internet surveys. The CD-ROM is an SPSS 11.0 data disk containing a variety of practice cases. |
| causal research in marketing: Marketing Research Bonita Kolb, 2008-04-18 Essential to any student of the discipline, this textbook offers a comprehensive, applied approach to understanding and designing market research. Balancing the fundamental quantitative methodologies and theoretical structures with practical applications of qualitative techniques, this book is ideal for the novice researcher, and for those more familiar with the discipline. With an emphasis on both critical thinking and hands-on application, the textbook contains: several real life case studies; useful learning features such as key terms, definitions and discussion topics, and is supported by a companion website. |
| causal research in marketing: Business Research Methods William G. Zikmund, Barry J. Babin, Mitch Griffin, Jon C. Carr, 2010 This best-selling text continues in its eighth edition to provide the most current and comprehensive coverage of business research. Its student-friendly design contains numerous examples illustrating real-world research in management, marketing, finance, accounting, and other business areas. BUSINESS RESEARCH METHODS, 8E, is the ideal text for undergraduate and first year MBA courses in marketing, management, or quantitative studies. |
| causal research in marketing: Theory-Based Data Analysis for the Social Sciences Carol S. Aneshensel, 2013 This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of third variables to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions. |
| causal research in marketing: Handbook of Market Research Christian Homburg, Martin Klarmann, Arnd Vomberg, 2021-12-03 In this handbook, internationally renowned scholars outline the current state-of-the-art of quantitative and qualitative market research. They discuss focal approaches to market research and guide students and practitioners in their real-life applications. Aspects covered include topics on data-related issues, methods, and applications. Data-related topics comprise chapters on experimental design, survey research methods, international market research, panel data fusion, and endogeneity. Method-oriented chapters look at a wide variety of data analysis methods relevant for market research, including chapters on regression, structural equation modeling (SEM), conjoint analysis, and text analysis. Application chapters focus on specific topics relevant for market research such as customer satisfaction, customer retention modeling, return on marketing, and return on price promotions. Each chapter is written by an expert in the field. The presentation of the material seeks to improve the intuitive and technical understanding of the methods covered. |
| causal research in marketing: An Introduction to Causal Inference Judea Pearl, 2015 This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical foundation for the analysis of causes and counterfactuals. In particular, the paper surveys the development of mathematical tools for inferring (from a combination of data and assumptions) answers to three types of causal queries: (1) queries about the effects of potential interventions, (also called causal effects or policy evaluation) (2) queries about probabilities of counterfactuals, (including assessment of regret, attribution or causes of effects) and (3) queries about direct and indirect effects (also known as mediation). Finally, the paper defines the formal and conceptual relationships between the structural and potential-outcome frameworks and presents tools for a symbiotic analysis that uses the strong features of both. The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation. -- p. 1. |
| causal research in marketing: Research Methods in Practice Dahlia K. Remler, Gregg G. Van Ryzin, 2021-08-24 Thoroughly updated to reflect changes in both research and methods, this Third Edition of Remler and Van Ryzin’s innovative, standard-setting text is imbued with a deep commitment to making social and policy research methods accessible and meaningful. Research Methods in Practice: Strategies for Description and Causation motivates readers to examine the logic and limits of social science research from academic journals and government reports. A central theme of causation versus description runs through the text, emphasizing the idea that causal research is essential to understanding the origins of social problems and their potential solutions. Readers will find excitement in the research experience as the best hope for improving the world in which we live, while also acknowledging the trade-offs and uncertainties in real-world research. |
| causal research in marketing: Essentials of Marketing Research , |
| causal research in marketing: Research and Evaluation Methods in Special Education Donna M. Mertens, John Adams McLaughlin, 2004 This text will enable readers to use tools to design, conduct and report research in a way that transforms, when appropriate, the delivery of special education. |
| causal research in marketing: The Essentials of Marketing Research Lawrence S. Silver, Robert E. Stevens, 2013 Identifying and assessing the ways in which changes in the marketing mix affect consumer behavior is key to a successful marketing strategy. This book guides the student in designing, conducting and interpreting marketing research. This comprehensive textbook covers the full range of topics, including: Secondary research and data mining ; Internet marketing research ; Qualitative and exploratory research ; Statistical analysis and Marketing research ethics. With learning objectives at the beginning of each chapter, a host of cases and a comprehensive companion website, this book offers a range of tools to help students develop and test their research and analytical skills. |
| causal research in marketing: Doing Research in Political Science Paul Pennings, Hans Keman, Jan Kleinnijenhuis, 2005-11-11 This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis. |
| causal research in marketing: The Effect Nick Huntington-Klein, 2021-12-20 Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences |
| causal research in marketing: Applied Marketing Daniel Padgett, Andrew Loos, 2023-10-24 |
| causal research in marketing: Best Practices in Quantitative Methods Jason W. Osborne, 2008 The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the best choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods. |
| causal research in marketing: Research Methodology in Marketing Martin Eisend, Alfred Kuss, 2019-03-01 This textbook describes and explains the fundamentals of applying empirical methods for theory building and theory testing in marketing research. The authors explain the foundations in philosophy of science and the various methodological approaches to readers who are working empirically with the purpose of developing and testing theories in marketing. The primary target group of the book are graduate students and PhD students who are preparing their empirical research projects, e.g. for a master thesis or a dissertation. |
| causal research in marketing: Business Research Methods S. N. Murthy, U. Bhojanna, 2009 Business research methods will serve as a text book on marketing research for students pursuing courses in management and commerce. The main focus is on the Indian context. Various analytical tools used in research methods are given along with exhaustive coverage and illustrations. Assignments are included in various chapters to help in acquiring in-depth subject knowledge and application orientation. The book contains 7 sections divided into 23 chapters. Case studies are included which will help to develop analytical skills. SPSS application has been described wherever necessary. The book can be of great help to MBA, PGDBM, MMS, BBA and Commerce students. |
| causal research in marketing: Market Research Erik Mooi, Marko Sarstedt, Irma Mooi-Reci, 2017-11-01 This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights. |
| causal research in marketing: The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry Sharlene Nagy Hesse-Biber, Burke Johnson, 2015 Offering a variety of innovative methods and tools, this book provides a comprehensive and up-to-date presentation on multi and mixed methods research. |
| causal research in marketing: Causality Judea Pearl, 2009-09-14 Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ... |
| causal research in marketing: Fundamentals of Marketing Paul Baines, Chris Fill, Sara Rosengren, Paolo Antonetti, 2017 Do you want to know how a traditionally French brand expands into an international market, how a department store can channel its business online, or how any organization can incorporate social media into their communication campaigns? What can you learn from these practices, how do they incorporate sustainability and ethical practice, and how could it influence your career, whether in marketing or not? Incorporating the big brand case studies, unique expert insights, and engaging learning features of the best-selling Marketing by Baines, Fill, and Rosengren, Fundamentals of Marketing is the most complete resource for students looking for a briefer guide to help build their theoretical understanding of marketing into skilful practice. Covering the most essential theories and latest trends, this book take you from the traditional marketing mix to the cutting-edge trends of the discipline, with a particular focus on sustainability, ethics, and digitalization. With cases featuring international companies such as YouTube, Kopparberg, and Nestle, and exploring issues such as greenwashing, guilt appeals, and responsible branding, the book goes beyond marketing theory to illustrate marketing at work in the business world, and how it can be used to promote a company's success. Review and discussion questions conclude each chapter, prompting readers to examine the themes discussed in more detail and critically engage with the theory. Links to seminal papers throughout each chapter also present the opportunity to take learning further and read in depth on selected topics. A fully integrated Online Resource Centre allows you to learn from real-life marketers whose video interviews expand on the book's Case Insights to offer a more in-depth view of their world. From Withers Worldwide to Aston Martin, Lanson International to Spotify, household names as well as SMEs and online businesses discuss their real-life marketing dilemmas and how they navigated their way to a positive outcome. Test bank questions, internet activities, and web links also allow you to test your learning and explore key concepts further. Fundamentals of Marketing has all you need to begin your journey into the fascinating world of marketing. The book is accompanied by an Online Resource Centre that features: For everyone: Case Insight videos Library of video links Worksheets For students: Author audio podcasts Multiple-choice questions Flashcard glossaries Employability guidance and marketing careers insights Internet activities Research insights Web links For lecturers: VLE content PowerPoint slides Test bank Essay questions Tutorial activities Marketing resource bank Pointers on answering the discussion question at the end of each chapter of the book Figures and tables from the book in electronic format Transcripts of the Case Insight videos |
| causal research in marketing: Causal Models Steven Sloman, 2005-07-28 Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause and effect, between action and outcome. In cognitive terms, how do people construct and reason with the causal models we use to represent our world? A revolution is occurring in how statisticians, philosophers, and computer scientists answer this question. Those fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that uses graphs and probability theory to develop what are called causal Bayesian networks. The framework starts with the idea that the purpose of causal structure is to understand and predict the effects of intervention. How does intervening on one thing affect other things? This is not a question merely about probability (or logic), but about action. The framework offers a new understanding of mind: Thought is about the effects of intervention and cognition is thus intimately tied to actions that take place either in the actual physical world or in imagination, in counterfactual worlds. The book offers a conceptual introduction to the key mathematical ideas, presenting them in a non-technical way, focusing on the intuitions rather than the theorems. It tries to show why the ideas are important to understanding how people explain things and why thinking not only about the world as it is but the world as it could be is so central to human action. The book reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgment, categorization, inductive inference, language, and learning. In short, the book offers a discussion about how people think, talk, learn, and explain things in causal terms, in terms of action and manipulation. |
| causal research in marketing: Qualitative Simulation Modeling and Analysis Paul A. Fishwick, Paul A. Luker, 2012-12-06 Recently there has been considerable interest in qualitative methods in simulation and mathematical model- ing. Qualitative Simulation Modeling and Analysis is the first book to thoroughly review fundamental concepts in the field of qualitative simulation. The book will appeal to readers in a variety of disciplines including researchers in simulation methodology, artificial intelligence and engineering. This book boldly attempts to bring together, for the first time, the qualitative techniques previously found only in hard-to-find journals dedicated to single disciplines. The book is written for scientists and engineers interested in improving their knowledge of simulation modeling. The qualitative nature of the book stresses concepts of invariance, uncertainty and graph-theoretic bases for modeling and analysis. |
| causal research in marketing: Marketing Research Essentials Carl McDaniel (Jr.), Roger H. Gates, 2016 |
CAUSAL Definition & Meaning - Merriam-Webster
The meaning of CAUSAL is expressing or indicating cause : causative. How to use causal in a sentence.
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CAUSAL | English meaning - Cambridge Dictionary
CAUSAL definition: 1. a relationship, link, etc. between two things in which one causes the other: 2. a relationship…. Learn more.
Causality - Wikipedia
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least …
CAUSAL Definition & Meaning | Dictionary.com
Causal definition: of, constituting, or implying a cause.. See examples of CAUSAL used in a sentence.
CAUSAL definition and meaning | Collins English Dictionary
If there is a causal relationship between two things, one thing is responsible for causing the other thing.
Causal - definition of causal by The Free Dictionary
1. Of, involving, or constituting a cause: a causal relationship between scarcity of goods and higher prices. 2. Indicative of or expressing a cause.
causal adjective - Definition, pictures, pronunciation and usage …
Definition of causal adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
causal - Wiktionary, the free dictionary
Jan 18, 2025 · causal (comparative more causal, superlative most causal) of, relating to, or being a cause of something; causing There is no causal relationship between eating carrots and …
causal, adj. & n. meanings, etymology and more | Oxford English …
What does the word causal mean? There are six meanings listed in OED's entry for the word causal. See ‘Meaning & use’ for definitions, usage, and quotation evidence. causal has …
CAUSAL Definition & Meaning - Merriam-Webster
The meaning of CAUSAL is expressing or indicating cause : causative. How to use causal in a sentence.
Causal: The finance platform for startups
Causal replaces your spreadsheets with a better way to build models, connect to data (accounting, CRM), and share dashboards with your team. Sign up …
CAUSAL | English meaning - Cambridge Dictionary
CAUSAL definition: 1. a relationship, link, etc. between two things in which one causes the other: 2. a relationship…. …
Causality - Wikipedia
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an …
CAUSAL Definition & Meaning | Dictionary.com
Causal definition: of, constituting, or implying a cause.. See examples of CAUSAL used in a sentence.
