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3: Literature Reviews and Hypotheses
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3-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Literature Review A literature review is a comprehensive examination of available information that is related to your research topic.
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3-3 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Reasons for conducting a literature review Clarify the research problem and questions Uncover existing studies Suggest research hypotheses Identify available scales, measures variables and methods Avoid duplication of effort
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3-4 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Lexus Nexus
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3-5 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Google Scholar
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3-6 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Key terms Variables Gender, Age, Preference, Purchase Likelihood Constructs Satisfaction, Brand Loyalty, Intelligence Hypothesis (-es) “Good moods lead to more purchases.”
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3-7 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Conceptualization Conceptualization refers to the development of a model that shows variables and the hypothesized relationships between those variables.
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3-8 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Relationships and variables Dependent variables Independent variables
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3-9 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Relationships and variables Confounding Variables Control Variables
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3-10 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Process of Conceptualization Identify Independent and Dependent variables Specify relationships between the variables Develop theory that justifies those relationships Specify “boundary conditions” for relationships, if any Identify any control or confounding variables
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3-11 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 A Model of New Technology Adoption Income Education Openness to learning Technology discomfort New technology adoption + + + -
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3-12 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Hypothesis A hypothesis is an empirically testable though yet unproven statement developed in order to explain phenomena.
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3-13 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Types of Hypotheses Null Alternate Non-directional vs. Directional Direct (positive) vs. Indirect (negative) relationships
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3-14 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Examples - Null Hypotheses There is no significant difference between the preferences toward specific banking method exhibited by white-collar customers and blue- collar customers. No significant differences exist in requests for specific medical treatments from emergency walk-in clinics between users and nonusers of annual preventive maintenance health care programs.
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3-15 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Examples – Alternate Hypotheses, Non- directional There is a significant difference in satisfaction levels reported by Safeway and Lucky shoppers. Significant differences exist between males and females in the number of hours spent online.
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3-16 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Examples – Alternate Hypotheses, Directional We expect higher satisfaction levels to be reported by Safeway shoppers than Lucky shoppers. We expect to find that males spend significantly more hours online than females.
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3-17 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Examples – Alternate Hypotheses, Direct (positive) More studying is related to higher GPAs. Friendlier salespeople generate higher sales revenues. Increases in advertising lead to higher sales.
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3-18 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 Examples – Alternate Hypotheses, Indirect (negative) Students with high GPAs consume less alcohol than those with lower GPAs. The more pressure to close sales perceived by salespeople, the fewer follow up, “relationship-building” sales calls made.
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3-19 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials of Marketing Research 1e © McGraw-Hill/Irwin2008 ACTIVITY: Formulating Research Objectives and Hypotheses Develop a simple research objective. Formulate a simple hypothesis for your research objective. Specify the following: Positive / Inverse relationship Theory behind the relationships Any boundary conditions for the model Any control or confounding variables/factors
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