
MR (with Marketing CourseMate with eBook Printed Access Card)
by Brown, Tom J.; Suter, Tracy A.Rent Textbook
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Summary
Table of Contents
Marketing Research: From Data to Information to Recommended Strategies | |
The problem: Marketers need information | |
Who does marketing research? | |
Why study marketing research? | |
The research process | |
The Research Question: Formulation of the Problem/Opportunity | |
Problems versus opportunities | |
The problem formulation process | |
Preparing an effective research request agreement | |
The research proposal | |
Research to avoid | |
Choosing a research supplier | |
Exploratory, Descriptive and Causal Research Designs | |
Types of research design | |
Exploratory research designs | |
Descriptive research designs | |
Causal research designs | |
Market testing | |
Collecting Secondary Data from Inside and Outside the Firm | |
Secondary data versus primary data | |
Advantages and disadvantages of secondary data | |
Internal secondary data | |
Components of a decision support system | |
External secondary data | |
Standardized marketing information services | |
Collecting Primary Data by Communication | |
Types of primary data | |
Collecting data by communication versus observation | |
Structured versus unstructured communication | |
Issues in the use of disguise | |
Methods of administering questionnaires | |
Collecting Primary Data by Observation | |
Observation research | |
Structured versus unstructured observation | |
Using disguise with observation research | |
Choosing a natural or contrived setting for observation | |
Human versus mechanical observation | |
Asking Good Questions | |
Scales of measurement | |
Measuring attitudes and other unobservable variables | |
Self-report attitude scales | |
Other issues in designing scales | |
Establishing the validity and reliability of measures | |
Designing the Questionnaire or Observation Form | |
Steps in questionnaire design | |
Designing observation forms | |
Planning the Sample and Sample Size | |
Developing the sampling plan | |
Nonprobability samples | |
Probability samples | |
How big a sample do you need? | |
Data Collection: Enhancing Response Rates while Limiting Errors and Biases | |
Importance of nonsampling errors | |
Types of nonsampling errors | |
Calculating response rates | |
Improving response rates | |
Data Preparation for Analysis | |
Editing | |
Coding | |
Cleaning the data | |
Handling missing data | |
Analysis & Interpretation: Individual Variables Independently | |
Basic univariate statistics: Categorical measures | |
Basic univariate statistics: Continuous measures | |
Hypothesis testing | |
Testing hypotheses about individual variables | |
Analysis & Interpretation: Multiple Variables Simultaneously | |
Analyses with categorical measures | |
Analyses with categorical and continuous measures | |
Analyses with continuous measures | |
The Research Answer: Project Findings and Strategic Recommendations | |
The written research report: Writing standards | |
The written research report | |
The oral presentation | |
Using graphics to communicate results | |
Table of Contents provided by Publisher. All Rights Reserved. |
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