A Primer on Consumer Marketing Research: Procedures, Methods, and Tools
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Statistical Inference: How Reliable Is a Survey?
Math 203, Fall 2008: Statistical Inference: How reliable is a survey? Consider a survey with a single question, to which respondents are asked to give an answer of yes or no. Suppose you pick a random sample of n people, and you find that the proportion that answered yes isp ˆ. Question: How close isp ˆ to the actual proportion p of people in the whole population who would have answered yes? In order for there to be a reliable answer to this question, the sample size, n, must be big enough so that the sample distribution is close to a bell shaped curve (i.e., close to a normal distribution). But even if n is big enough that the distribution is close to a normal distribution, usually you need to make n even bigger in order to make sure your margin of error is reasonably small. Thus the first thing to do is to be sure n is big enough for the sample distribution to be close to normal. The industry standard for being close enough is for n to be big enough so that 1 − p 1 − p n > 9 and n > 9 p p both hold. When p is about 50%, n can be as small as 10, but when p gets close to 0 or close to 1, the sample size n needs to get bigger. If p is 1% or 99%, then n must be at least 892, for example. (Note also that n here depends on p but not on the size of the whole population.) See Figures 1 and 2 showing frequency histograms for the number of yes respondents if p = 1% when the sample size n is 10 versus 1000 (this data was obtained by running a computer simulation taking 10000 samples). -
Hypothesis Testing with Two Categorical Variables 203
Chapter 10 distribute or Hypothesis Testing With Two Categoricalpost, Variables Chi-Square copy, Learning Objectives • Identify the correct types of variables for use with a chi-square test of independence. • Explainnot the difference between parametric and nonparametric statistics. • Conduct a five-step hypothesis test for a contingency table of any size. • Explain what statistical significance means and how it differs from practical significance. • Identify the correct measure of association for use with a particular chi-square test, Doand interpret those measures. • Use SPSS to produce crosstabs tables, chi-square tests, and measures of association. 202 Part 3 Hypothesis Testing Copyright ©2016 by SAGE Publications, Inc. This work may not be reproduced or distributed in any form or by any means without express written permission of the publisher. he chi-square test of independence is used when the independent variable (IV) and dependent variable (DV) are both categorical (nominal or ordinal). The chi-square test is member of the family of nonparametric statistics, which are statistical Tanalyses used when sampling distributions cannot be assumed to be normally distributed, which is often the result of the DV being categorical rather than continuous (we will talk in detail about this). Chi-square thus sits in contrast to parametric statistics, which are used when DVs are continuous and sampling distributions are safely assumed to be normal. The t test, analysis of variance, and correlation are all parametric. Before going into the theory and math behind the chi-square statistic, read the Research Examples for illustrations of the types of situations in which a criminal justice or criminology researcher would utilize a chi- square test. -
Sampling and Fieldwork Practices in Europe
www.ssoar.info Sampling and Fieldwork Practices in Europe: Analysis of Methodological Documentation From 1,537 Surveys in Five Cross-National Projects, 1981-2017 Jabkowski, Piotr; Kołczyńska, Marta Veröffentlichungsversion / Published Version Zeitschriftenartikel / journal article Empfohlene Zitierung / Suggested Citation: Jabkowski, P., & Kołczyńska, M. (2020). Sampling and Fieldwork Practices in Europe: Analysis of Methodological Documentation From 1,537 Surveys in Five Cross-National Projects, 1981-2017. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 16(3), 186-207. https://doi.org/10.5964/meth.2795 Nutzungsbedingungen: Terms of use: Dieser Text wird unter einer CC BY Lizenz (Namensnennung) zur This document is made available under a CC BY Licence Verfügung gestellt. Nähere Auskünfte zu den CC-Lizenzen finden (Attribution). For more Information see: Sie hier: https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0/deed.de Diese Version ist zitierbar unter / This version is citable under: https://nbn-resolving.org/urn:nbn:de:0168-ssoar-74317-3 METHODOLOGY Original Article Sampling and Fieldwork Practices in Europe: Analysis of Methodological Documentation From 1,537 Surveys in Five Cross-National Projects, 1981-2017 Piotr Jabkowski a , Marta Kołczyńska b [a] Faculty of Sociology, Adam Mickiewicz University, Poznan, Poland. [b] Department of Socio-Political Systems, Institute of Political Studies of the Polish Academy of Science, Warsaw, Poland. Methodology, 2020, Vol. 16(3), 186–207, https://doi.org/10.5964/meth.2795 Received: 2019-03-23 • Accepted: 2019-11-08 • Published (VoR): 2020-09-30 Corresponding Author: Piotr Jabkowski, Szamarzewskiego 89C, 60-568 Poznań, Poland. +48 504063762, E-mail: [email protected] Abstract This article addresses the comparability of sampling and fieldwork with an analysis of methodological data describing 1,537 national surveys from five major comparative cross-national survey projects in Europe carried out in the period from 1981 to 2017. -
Advertising and the Public Interest. a Staff Report to the Federal Trade Commission. INSTITUTION Federal Trade Commission, New York, N.Y
DOCUMENT RESUME ED 074 777 EM 010 980 AUTHCR Howard, John A.; Pulbert, James TITLE Advertising and the Public Interest. A Staff Report to the Federal Trade Commission. INSTITUTION Federal Trade Commission, New York, N.Y. Bureau of Consumer Protection. PUB EATE Feb 73 NOTE 575p. EDRS PRICE MF-$0.65 HC-$19.74 DESCRIPTORS *Broadcast Industry; Commercial Television; Communication (Thought Transfer); Consumer Economics; Consumer Education; Federal Laws; Federal State Relationship; *Government Role; *Investigations; *Marketing; Media Research; Merchandise Information; *Publicize; Public Opinj.on; Public Relations; Radio; Television IDENTIFIERS Federal Communications Commission; *Federal Trade Commission; Food and Drug Administration ABSTRACT The advertising industry in the United States is thoroughly analyzed in this comprehensive, report. The report was prepared mostly from the transcripts of the Federal Trade Commission's (FTC) hearings on Modern Advertising Practices.' The basic structure of the industry as well as its role in marketing strategy is reviewed and*some interesting insights are exposed: The report is primarily concerned with investigating the current state of the art, being prompted mainly by the increased consumes: awareness of the nation and the FTC's own inability to set firm guidelines' for effectively and consistently dealing with the industry. The report points out how advertising does its job, and how it employs sophisticated motivational research and communications methods to reach the wide variety of audiences available. The case of self-regulation is presented with recommendationS that the FTC be particularly harsh in applying evaluation criteria tochildren's advertising. The report was prepared by an outside consulting firm. (MC) ADVERTISING AND THE PUBLIC INTEREST A Staff Report to the Federal Trade Commission by John A. -
Combining Probability and Nonprobability Samples to Form Efficient Hybrid Estimates: an Evaluation of the Common Support Assumption Jill A
Combining Probability and Nonprobability Samples to form Efficient Hybrid Estimates: An Evaluation of the Common Support Assumption Jill A. Dever RTI International, Washington, DC Proceedings of the 2018 Federal Committee on Statistical Methodology (FCSM) Research Conference Abstract Nonprobability surveys, those without a defined random sampling scheme, are becoming more prevalent. These studies can offer faster results at less cost than many probability surveys, especially for targeting important subpopulations. This can be an attractive option given the continual challenge of doing more with less, as survey costs continue to rise and response rates to plummet. Nonprobability surveys alone, however, may not fit the needs (purpose) of Federal statistical agencies where population inference is critical. Nonprobability samples may best serve to enhance the representativeness of certain domains within probability samples. For example, if locating and interviewing a required number of subpopulation members is resource prohibitive, data from a targeted nonprobability survey may lower coverage bias exhibited in a probability survey. In this situation, the question is how to best combine information from both sources. Our research searches for an answer to this question through an evaluation of hybrid estimation methods currently in use that combine probability and nonprobability data. Methods that employ generalized analysis weights (i.e., one set of weights for all analyses) are the focus because they enable other survey researchers and policy makers to analyze the data. The goal is to identify procedures that maximize the strength of each data source to produce hybrid estimates with the low mean square error. The details presented here focus on the propensity score adjusted (PSA) nonprobability weights needed prior to combining the data sources, and the common support assumption critical to hybrid estimation and PSA weighting. -
Sexism in Advertising
Sexism in Advertising A Qualitative Study of the Influence on Consumer Attitudes Towards Companies MASTER THESIS WITHIN: Business Administration NUMBER OF CREDITS: 30 PROGRAMME OF STUDY: Degree of Master of Science in Business and Economics AUTHOR: Hanna Andersson & Emilia Schytt JÖNKÖPING May 2017 Master Thesis in Business Administration Title: Sexism in Advertising: A Qualitative Study of the Influence on Consumer Attitudes Towards Companies Authors: Hanna Andersson and Emilia Schytt Tutor: Tomas Müllern Date: 2017-05-22 Key terms: Women in Advertising, Sexist Advertising, Congruity, Incongruity, Gender Differences, Consumer Attitudes. Background: Advertising is one of the most powerful influences on consumer attitudes, and for several decades, sexism in advertising and its affects on society has been a current topic. Even though the increased importance of equality in today’s society, sexism are still commonly depicted in advertising. How women are portrayed in advertising has been suggested to affect women’s perceived role in society and increased stereotypical roles defining how they should act and behave. Purpose: The study will seek insight in consumer attitudes formed by sexist advertising, and understanding of the difference between congruent sexist ads and incongruent sexist ads. The purpose of this study is to understand how sexist advertising influence consumer attitudes of a company. The ambition is to contribute to a greater understanding of sexist advertisements’ impact on companies. Method: An interpretive approach was adopted in order to gain deep insight and understanding in the subject. An exploratory study was conducted in the form of qualitative two-part interviews. Through a convenience sampling, 50 respondents were selected, divided into 25 females and 25 males in the ages of 20-35. -
User-Generated Content for Marketing and Advertising
USER-GENERATED CONTENT FOR MARKETING AND ADVERTISING An IAB Buyer's Guide Use of User-Generated Content (UGC) for marketing and advertising purposes has grown significantly in recent years largely due to the rise of social and messaging platforms where "ordinary people" have become avid and voluntary content creators, notably on their mobile devices. Publishers, marketers, and agencies are increasingly taking notice and capitalizing on this trend in new and exciting ways. UGC as a marketing and advertising tactic has developed into a distinctly different discipline than Influencer Marketing and, thus, warrants its own exploratory. This is an important shift in thinking by IAB from prior guidance on UGC that previously included top down influencers as part of the definition of UGC. This Guide includes a Definition, Key Benefits, Sources and Types of UGC, Use Cases, and Legal considerations. The goal of the Guide is to help brands and their agencies understand how UGC can help meet their marketing and advertising objectives. May 2019 TABLE OF CONTENTS Mission and Contributors . 3 What is UGC? . 4 • Definition . 4 • The Difference between UGC and Influencer Marketing Content........................4 The Main Types of UGC . 5 What's Driving Growth of UGC for Marketing and Advertising? . 6 Key Benefits of UGC for Use in Marketing and Advertising . 7 The Proven Effectiveness of UGC . 8 • Why Do People Share? ........................................................8 • Why Do People Share Content About Brands?......................................8 • What Makes UGC Effective? . 8 • How Effective is UGC When Used in/as Advertisements? . 11 How UGC is Being Used in Advertising and Marketing Today . 12 • UGC for Advertising Examples . -
ESOMAR 28 Questions
Responses to ESOMAR 28 Questions INTRODUCTION Intro to TapResearch TapResearch connects mobile, tablet and pc users interested in completing surveys with market researchers who need their opinions. Through our partnerships with dozens of leading mobile apps, ad networks and websites, we’re able to reach an audience exceeding 100 million people in the United States. We are focused on being a top-quality partner for ad hoc survey sampling, panel recruitment, and router integrations. Our technology platform enables reliable feasibility estimates, highly competitive costs, sophisticated quality enforcement, and quick-turnaround project management. Intro to ESOMAR ESOMAR (European Society for Opinion and Market Research) is the essential organization for encouraging, advancing and elevating market research worldwide. Since 1948, ESOMAR’s aim has been to promote the value of market and opinion research in effective decision-making. The ICC/ESOMAR Code on Market and Social Research, which was developed jointly with the International Chamber of Commerce, sets out global guidelines for self-regulation for researchers and has been undersigned by all ESOMAR members and adopted or endorsed by more than 60 national market research associations worldwide. Responses to ESOMAR 28 Questions COMPANY PROFILE 1) What experience does your company have in providing online samples for market research? TapResearch connects mobile, tablet and pc users interested in completing surveys with market researchers who need their opinions. Through our partnerships with dozens of leading mobile apps, ad networks and websites, we’re able to reach an audience exceeding 100 million people in the United States - we’re currently adding about 30,000 panelists/day and this rate is increasing. -
A Critical Review of Studies Investigating the Quality of Data Obtained with Online Panels Based on Probability and Nonprobability Samples1
Callegaro c02.tex V1 - 01/16/2014 6:25 P.M. Page 23 2 A critical review of studies investigating the quality of data obtained with online panels based on probability and nonprobability samples1 Mario Callegaro1, Ana Villar2, David Yeager3,and Jon A. Krosnick4 1Google, UK 2City University, London, UK 3University of Texas at Austin, USA 4Stanford University, USA 2.1 Introduction Online panels have been used in survey research as data collection tools since the late 1990s (Postoaca, 2006). The potential great cost and time reduction of using these tools have made research companies enthusiastically pursue this new mode of data collection. However, 1 We would like to thank Reg Baker and Anja Göritz, Part editors, for their useful comments on preliminary versions of this chapter. Online Panel Research, First Edition. Edited by Mario Callegaro, Reg Baker, Jelke Bethlehem, Anja S. Göritz, Jon A. Krosnick and Paul J. Lavrakas. © 2014 John Wiley & Sons, Ltd. Published 2014 by John Wiley & Sons, Ltd. Callegaro c02.tex V1 - 01/16/2014 6:25 P.M. Page 24 24 ONLINE PANEL RESEARCH the vast majority of these online panels were built by sampling and recruiting respondents through nonprobability methods such as snowball sampling, banner ads, direct enrollment, and other strategies to obtain large enough samples at a lower cost (see Chapter 1). Only a few companies and research teams chose to build online panels based on probability samples of the general population. During the 1990s, two probability-based online panels were documented: the CentER data Panel in the Netherlands and the Knowledge Networks Panel in the United States. -
Esomar/Grbn Guideline for Online Sample Quality
ESOMAR/GRBN GUIDELINE FOR ONLINE SAMPLE QUALITY ESOMAR GRBN ONLINE SAMPLE QUALITY GUIDELINE ESOMAR, the World Association for Social, Opinion and Market Research, is the essential organisation for encouraging, advancing and elevating market research: www.esomar.org. GRBN, the Global Research Business Network, connects 38 research associations and over 3500 research businesses on five continents: www.grbn.org. © 2015 ESOMAR and GRBN. Issued February 2015. This Guideline is drafted in English and the English text is the definitive version. The text may be copied, distributed and transmitted under the condition that appropriate attribution is made and the following notice is included “© 2015 ESOMAR and GRBN”. 2 ESOMAR GRBN ONLINE SAMPLE QUALITY GUIDELINE CONTENTS 1 INTRODUCTION AND SCOPE ................................................................................................... 4 2 DEFINITIONS .............................................................................................................................. 4 3 KEY REQUIREMENTS ................................................................................................................ 6 3.1 The claimed identity of each research participant should be validated. .................................................. 6 3.2 Providers must ensure that no research participant completes the same survey more than once ......... 8 3.3 Research participant engagement should be measured and reported on ............................................... 9 3.4 The identity and personal -
Consumerism and Environmental Policy: Moving Past Consumer Culture
Consumerism and Environmental Policy: Moving Past Consumer Culture Bradley A. Harsch* CONTENTS Introduction ......................................................................... 544 I. Environmental Problems and Ways of Dealing With Th em ............................................................................ 548 A. Industrial Economy and the Environment ............... 548 B. Conventional Approaches to Addressing Environmental Problems ......................................... 550 C. Proposed Approaches to Addressing Environmental Problem s ................................................................ 552 1. Market-Based Approaches: Internalizing Externalities ...................................................... 553 2. Reducing Energy and Raw Material Input .......... 554 3. Proposed Approaches that Address Consum ption ..................................................... 554 II. Consum er Culture ........................................................ 555 A. The Historical Development and Critique of the Consum er Culture .................................................. 557 B. Definitive Aspects of Consumer Culture .................. 559 1. The Reification of Images .................................. 559 2. The Market as the Primary Means of Satisfying D esires .............................................................. 562 C. Advertising and Consumer Culture ......................... 566 1. Advertising and its Place in Society .................... 566 2. Our Incredulity ................................................. -
Promotional Activities in Order to Win More Customers
Promotional Activities in Order to Win More Customers A case-study of an ISP in Bangladesh Master Degree Project in Business Administration One year. Advance Level, 15 ECTS Spring Term, 2011 Md. Razaul Karim Zhao Xu Supervisor: Peter Hultén,Ph.D Examiner: Stefan Tengblad Acknowledgement We would like to extent our sincerest thanks to all those who helped us to complete this research paper. We would like to extend our thanks and regards to our supervisor Mr. Peter Hultén, Ph.D who gave us distance supervision. We could not complete this research paper without his endless support. We would like to thanks all customers who expend their valuable time to fill up survey form and we also want to thanks Mr. Mashhurul Amin Nobin, Marketing Manager of Link3 Technologies Ltd. to give us time an opportunity to work with his renowned ICT Company. Above all, we would like to thanks Almighty Lord to give us knowledge and keep us healthy during the whole period of our research work. Md. Razaul Karim & Zhao Xu University of Skovde,June 2011 Table of Contents CHAPTER – 1: INTRODUCTION ………………………………………………………………………………………………………01-07 1.1 Background……………………………………………………………………………………………………………………………………………………………………01 1.2 Problem Discussion………………………………………………………………………………………………………………………………………………………. 03 1.3 Research Question…………………………………………………………………………………………………………………………………………………………04 1.4 Research Purpose…………………………………………………………………………………………………………………………………………………………..04 1.5 Importance of This Research Paper………………………………………………………………………………………………………………………………..04 1.6 Limitation……………………………………………………………………………………………………………………………………………………………………….05