Exploring Marketing Research William G. Zikmund

Slides:



Advertisements
Similar presentations
Chapter Seven Descriptive Research Designs: Survey Methods and Errors
Advertisements

Survey Research. Survey data Survey data are obtained when individuals respond to questions asked by interviewers or when the individual responds to questions.
Preparing Data for Quantitative Analysis
Surveys. Respondents Respondents are a representative sample of people.
Sampling Methods.
Lecture 22 Basics of Primary data Collection Survey Research By Aziza Munir.
Quantitative Research Design Backdrop to Multivariate Analysis.
Factors: Situational Characteristics9-10a Factors and Characteristics Important Issues and Questions Situational Characteristics Budget of available resources.
Chapter 14 Data Collection in the Field, Response Error, and Questionnaire Screening.
Dr. Michael R. Hyman, NMSU Survey Error: Focus on Systematic Error.
SURVEYS SURVEYS ASK A RESPONDENT FOR INFORMATION USING VERBAL OR WRITTEN QUESTIONING.
Focus on Systematic Error
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Survey Research: The Profound Impact of the Internet CHAPTER Five.
THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson Learning TM 1 Chapter 4 Focusing on Customers.
Chapter Three Research Design.
Marketing Research Bangor Transfer Abroad Programme Week Three Review.
Marketing Research Unit 7.
FINAL REPORT: OUTLINE & OVERVIEW OF SURVEY ERRORS
Exploring Marketing Research Chapter 9 Survey Research: An Overview Dr. Werner R. Murhadi
29 August 2005MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan1 RESEARCH METHODOLOGY (Business Research Methods) Week 6.
King Fahd University of Petroleum & Minerals Department of Management and Marketing MKT Marketing Research Dr. Alhassan G. Abdul-Muhmin Overview.
Validity and Reliability Dr. Voranuch Wangsuphachart Dept. of Social & Environmental Medicine Faculty of Tropical Medicine Mahodil University 420/6 Rajvithi.
Descriptive Research Marketing Research – MKTG 446 Angela D’Auria Stanton, Ph.D.
Essentials of Marketing Research William G. Zikmund Chapter7: Survey Research.
Learning Objective Chapter 7 Primary Data Collection: Survey Research CHAPTER seven Primary Data Collection: Survey Research Copyright © 2000 by John Wiley.
COM Taejin Jung, Ph.D. Week 11: Survey and Poll Methods.
By: Christopher Prewitt & Deirdre Huston.  When doing any project it is important to know as much information about the project and the views of everyone.
Essentials of Marketing Research Chapter 7: Survey Research.
Chapter 7: Qualitative Research Tools
Survey Research: Communicating with Respondents
MR2300 MARKETING RESEARCH WITH PAUL TILLEY Unit 5: Primary Research - Survey Research.
Chapter Seven Copyright © 2006 McGraw-Hill/Irwin Descriptive Research Designs: Survey Methods and Errors.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Survey Research: The Profound Role of the Internet CHAPTER six.
Exploratory Research Design Week 02
Survey Overview. Classify Surveys Structured questions – imposes limit on responses.
Research Design.
Need estimates of prevalence? Objective answers by asking? Yes SURVEY Good Poor EXPLORATORY or SECONDARY RESEARCH FOCUS GROUPS Understanding of problem.
Survey Research Measurement & Methods. SURVEYS SURVEYS ASK RESPONDENTS FOR INFORMATION USING VERBAL OR WRITTEN QUESTIONING RESPONDENTS ARE A REPRESENTATIVE.
Copyright © 2008 by Nelson, a division of Thomson Canada Limited Chapter 7 Part 2 Designing Research Studies SURVEY RESEARCH: AN OVERVIEW.
Survey Research Chapter 7. The Nature of Surveys  Definition  Advantages  Disadvantages –Errors.
Survey Research. In Case of a System Glitch… After forming into your usual teams: –Create a brief survey that seeks to discern citizens’ attitudes about.
Survey Research.
3-1 Copyright © 2010 Pearson Education, Inc. Chapter Three Research Design.
Lesson Sources of Errors in Sampling. Objectives Understand how error can be introduced during sampling.
Bias in research Objective 1.6 Prologue. Building Context Bias is a form of systematic error that can affect scientific investigations and distort the.
Bias!!. Journal Topic Why do we take Samples? Fill in the blank: A good sample is of a population. Define Bias We take samples in order to reduce the.
5-1 Chapter Five. Why is Survey Research so Popular? 5-2 Key Terms & Definitions The need to know why. For example, why did they buy or not buy a particular.
1 Chapter 13 Collecting the Data: Field Procedures and Nonsampling Error © 2005 Thomson/South-Western.
Marketing Research Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides.
Chapter 3 Research Design.
Collecting Primary Data: Survey Research Design Lecture & Seminar.
Total Error = Systematic Error + Random Sampling Error.
Random Sampling Error and Sample Size are Related
Sources of Error In Sampling
Business Research Methods William G. Zikmund
Survey Research: Communicating with Respondents
Chapter 7 Survey Research.
Business Research Methods
Chapter 7 Survey Research.
Aaker, Kumar, Day Seventh Edition Instructor’s Presentation Slides
Market Research Unit 3 P3.
Chapter 7 Survey Research: An Overview
Chapter Three Research Design.
Chapter Nine Marketing Research Professor Charles Trappey
Marketing Research and Consumer Behavior Insights
BUSINESS MARKET RESEARCH
SURVEY RESEARCH (re: Zikmund, Chapter 7).
CONSUMER SURVEY RESEARCH
Module 6 – Survey Research
SURVEY RESEARCH.
Presentation transcript:

Exploring Marketing Research William G. Zikmund Chapter 8: Survey Research

Surveys Surveys ask respondents for information using verbal or written questioning

Respondents Respondents are a representative sample of people

Gathering Information via Surveys Quick Inexpensive Efficient Accurate Flexible

Problems Poor Design Improper Execution

Tree Diagram of Total Survey Error Random sampling error Total error Systematic error (bias)

Random Sampling Error A statistical fluctuation that occurs because of change variation in the elements selected for the sample

Systematic Error Systematic error results from some imperfect aspect of the research design or from a mistake in the execution of the research

Tree Diagram of Total Survey Error Administrative error Systematic error (bias) Respondent error

Sample Bias Sample bias - when the results of a sample show a persistent tendency to deviate in one direction from the true value of the population parameter

Tree Diagram of Total Survey Error Nonresponse error Respondent error Response bias

Respondent Error A classification of sample bias resulting from some respondent action or inaction Nonresponse bias Response bias

Nonresponse Error Nonrespondents - people who refuse to cooperate Not-at-homes Self-selection bias Over-represents extreme positions Under-represents indifference

Tree Diagram of Total Survey Error Deliberate falsification Response bias Unconscious misrepresentation

Response Bias A bias that occurs when respondents tend to answer questions with a certain slant that consciously or unconsciously misrepresents the truth

Tree Diagram of Total Survey Error Acquiescence bias Extremity bias Interviewer bias Auspices bias Social desirability bias

Acquiescence Bias A category of response bias that results because some individuals tend to agree with all questions or to concur with a particular position.

Extremity Bias A category of response bias that results because response styles vary from person to person; some individuals tend to use extremes when responding to questions.

Interviewer Bias A response bias that occurs because the presence of the interviewer influences answers.

Auspices Bias Bias in the responses of subjects caused by the respondents being influenced by the organization conducting the study.

Social Desirability Bias Bias in responses caused by respondents’ desire, either conscious or unconscious, to gain prestige or appear in a different social role.

Tree Diagram of Total Survey Error Administrative error Systematic error (bias) Respondent error

Administrative Error Improper administration of the research task Blunders Confusion Neglect Omission

Tree Diagram of Total Survey Error Data processing error Sample selection error Interviewer error Interviewer cheating

Administrative Error Interviewer cheating - filling in fake answers or falsifying interviewers Data processing error - incorrect data entry, computer programming, or other procedural errors during the analysis stage. Sample selection error -improper sample design or sampling procedure execution. Interviewer error - field mistakes

Time Period for Surveys Cross-sectional Longitudinal

Cross-Sectional Study A study in which various segments of a population are sampled Data are collected at a single moment in time.

Longitudinal Study A survey of respondents at different times, thus allowing analysis of changes over time. Tracking study - compare trends and identify changes consumer satisfaction

Consumer Panel A longitudinal survey of the same sample of individuals or households to record (in a diary) their attitudes, behavior, or purchasing habits over time.

Total Quality Management and Customer Satisfaction Surveys Total quality management - A business philosophy that emphasizes market-driven quality as a top organizational priority.

Stages in Tracking Quality Improvement Initial quality improve- ment Continuous Quality Improvement Commitment and Exploration Bench- marking

Commitment and Exploration Stage Management makes a commitment to total quality assurance Marketing researchers explore external customers’ needs and problems. Marketing researchers explore internal customers’ needs, beliefs, and motivations.

Benchmarking Stage Research establishes quantitative measures as benchmarks or points of comparison Overall satisfaction and quality ratings of specific attributes Employees actual performance and perceptions

Initial Quality Improvement Stage Tracking wave 1 measures trends Establishes a quality improvement process within the organization. Translate quality issues into the internal vocabulary of the organization. Establish performance standards and expectations for improvement.

Continuous Quality Improvement Consists of many consecutive waves with the same purpose—to improve over the previous period. Quality improvement management continues.

Determinants of the Quality of Goods Performance Features Conformance with specifications Reliability Durability Serviceability Aesthetic design

Determinants of Service Quality Access Communication Competence Courtesy Reliability Credibility