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Research Design
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Research design is a set ofadvance decisions that make up
the master plan specifying the
methods and procedures forcollecting and analyzing the
needed information.
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Three Types of Research Designs
Exploratory
Descriptive
Causal
Please note that research does not necessarily
follow the order (1) exploratory, (2) descriptive,
and (3) causal designs.
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Exploratory Research
Exploratory research is unstructured,informal research undertaken to gainbackground information about the general
nature of the research problem.
Uses of exploratory research include:
1. Gain background information.2. Define terms.3. Clarify problems and hypotheses.4. Establish research priorities.
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Methods of Conducting Exploratory
Research Secondary data analysis. Secondary data refers to theprocess of searching for and interpreting existing inforelevant to the research problem (e.g., census data, articlesin journals, newspapers, etc.).
Experience (Expert) surveys. Refers to gathering info fromthose thought to be knowledgeable on the issues relevant tothe problem (i.e., ask experts).
Case Analysis. Uses past situations that are similar to thepresent research problem.
Focus groups. Involves small (8-12) groups of peoplebrought together and guided by a moderator through
unstructured, spontaneous discussion.
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Specifying Constructs &
Operational Definitions Construct: A specific type of concept that exists at ahigher level of abstraction.
C
onstitutive Definition: A statement of the meaning of thecentral idea or concept under study, establishing itsboundaries; also known as a theoretical, or conceptual,definition (Note: Not in the book, but very important foressay exam and formal research report).
Operational Definition: A statement of precisely whichobservable characteristics will be measured and theprocess for assigning a value to the concept.
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What are Things Marketing
Managers
Typically
Measure?
Customer Satisfaction/Dissatisfaction
Loyalty
Attitudes Toward Product, Company Knowledge of product, service, features
Importance of Attributes
Intentions to Purchase Demographics
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How are these Constructs
Developed?
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Satisfaction
What would a definition of Satisfaction be,
if you were to look it up in the dictionary
Now, how might we measure
Satisfaction, i.e. the extent to which a
person is satisfied?
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Satisfaction
1. The fulfillment or gratification of a desire, need, or appetite.
Pleasure or contentment derived from such gratification.
A source or means of gratification.
2. A qualitative measure of performance as defined bycustomers, which meet their basic requirements andstandards.
3. The opportunity to avenge a wrong; vindication.
Compensation for injury or loss; reparation.
4. Assurance beyond doubt or question; complete conviction.
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Satisfaction Operational Defn
How do we measure satisfaction for our
study?
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Next, the Researcher Needs to
Identify the Relationships that
connects various constructs
A relationship is a meaningful link believedto exist between two or more constructs.
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Decide on a Model
A model connects constructs in ordered
relationships.
Satisfaction
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Finally! Specifying Research
Objectives/Hypotheses
Each research objective/Ho must be precise, detailed, clear, andoperational (i.e., measurable).
Avoid the nice-to-know syndrome!
Research objectives are best stated as research hypotheses. Ahypothesis is a conjectural statement about a relationship between two or
more variables that can be tested with empirical data. ISU Green Team example. How might we express the research
question(s):
(1)
(2)
(3)
Statement ofHypotheses based upon these research questions.
(1)
Presumes we must now develop a constitutive definition and operationaldefinition.
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Descriptive Research
Descriptive research provides answers to the
questions of who, what, when, where, and
how.
Note that we cannot conclusively ascertain
answers to WHY using descriptive studies.
Descriptive studies can be of two varieties
(i.e., classifications):
Cross-sectional
Longitudinal
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Example of Descriptive Research
Study Measuring Various Attributes ofSalespeople, a Training Program, or a RetailingSituation
Measuring how salespeople or customersbehaved, as well as what happened to salesvolume
Learn about characteristics of people shoppingat a particular store
Satisfaction Study taken at multiple times
throughout the year
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Causal Research Causality may be thought of as understanding a
phenomenon in terms of conditional statements ofthe form, If X, then Y. Conditions for Causality are:
Concomitant Variation: For variable X to cause a
change in variable Y, the two must be highly related in
that changes in Y are always associated with changes inX.
Temporal Precedence: Refers to the time sequence of
occurrence. For variable X to cause Y, it must always
occur before or precede Y.
Absence of CompetingExplanations: For X to cause Y,
other possible causes must be ruled out.
Types of Competing Explanation
Chance
Extraneous Variables
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Terminology Associated With Causal
Research
Variable: Any event which can take on more than onecondition. Traditionally symbolized by a Roman or GreekLetter
Independent Variable: A variable whose behavior explains
or influences the behavior of another variable. The letter Xis conventionally used to symbolize an independentvariable (subscripted if more than one independent variableis used).
Dependent Variable: A variable whose behavior is being
influenced (i.e. its behavior is "dependent" upon the"independent" variable(s)). Conventionally symbolized bythe letter Y (also subscripted if more than one independentvariable is used).
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Methods for Controlling Extraneous (or
Confounding) Variables
Randomization: The random assignment of subjects totreatment conditions to ensure equal representation ofsubject characteristics.
PhysicalControl: Holding constant the value or level ofextraneous variables throughout the course of anexperiment. (e.g., matching participants on personaldemographic characteristics).
DesignC
ontrol: Using the experimental design itself tocontrol extraneous causal factors.
StatisticalControl: Adjusting for the effects ofconfounded variables by statistically adjusting the valueof the DV for each treatment condition.
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Notation For Describing Research
Framework
Notation For Describing Research
Framework
X Represents the exposure of the objects being
studied to a particular variable or event, the effects
of which are to be observed or measured
O Represents the specific process of observation
or measurement
R Represents the process of randomly selecting
objects being studied and exposing them to a
particular variable or event
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Types of Descriptive Research
Frameworks
One Shot Framework (After Only)
After Only With Random Assignment
Pretest-Posttest Framework
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Causal Experimental Designs
Pretest-posttest with Control
Posttest only with Control
Solomon Four Group
Factorial Design