Research Degin

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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