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Quantitative Data Collection In Advertising Research.

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Presentation on theme: "Quantitative Data Collection In Advertising Research."— Presentation transcript:

1 Quantitative Data Collection In Advertising Research

2 Quantitative Data Collection Quantitative data can be collected through a specified number of completed interviews  Self-completion method or interviewer administered method

3 Factors influencing completion method Study objectives Topic/issues to be considered Sampling frame  Criteria associated with sample selection Projected response rate (number needed) Time/Budget available

4 Types of Interviews: Face to Face Street interviews Shopping Center Intercepts In home interviews Workplace interviews

5 Types of Interviews: Face to Face Advantages  Rapport-building opportunity  High response rates relative to other methods  High degree of flexibility in interview implementation Disadvantages  Relative expensive, time consuming  Sample representativeness at risk  Quality of data collected can be an issue  Interviewer bias/cheating

6 Types of Interviews: Telephone Interviews Advantages  Opportunity for wide geographic reach  Random sampling is more feasible  Greater quality control, consistency of interview implementation Disadvantages  Potential for sampling bias toward those with land lines  Chance to build rapport is lost  Refusal rate is greater  Long, complex questions should be avoided

7 Types of Interviews: Self-Administered Techniques Postal delivery surveys Email, web surveys Distributed questionnaires Diaries

8 Types of Interviews: Self-Administered Techniques Advantages  Easily administered  Opportunity for questionnaires to be widely dispersed  Relatively cost effective  Reduces the incidence of socially desirable responses  Good for sensitive topics Disadvantages  Low response rate High cost per completed interview  Diverse representation within sample is low  Lack of control over who participates (“hand raisers”)  Lack of control over data capture process

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10 The Idea Behind Measurement Quantitative measurement is based on turning an abstract concept into an observable, measurable event

11 Steps In the Measurement Process Identify, define the concept of interest  Concepts (constructs) are ‘invented names’ that describe an object, person, condition, or event  Defining the concept requires specifying the core, underlying idea for it

12 Example ‘Attitude’ as an identified concept … has been defined as one’s predisposition to respond favorably or unfavorably to a stimulus

13 Steps In the Measurement Process Operationalize the concept definition  Translating the abstract concept definition into measurable, observable criteria

14 Example ‘Attitude’ toward open records laws could be observed by  asking people if they ‘like or dislike’ the current law OR  asking if they feel ‘favorable or unfavorable’ about the issue

15 Steps in the Measurement Process Identify the appropriate means for collecting and measuring the data observed  Nominal, ordinal, interval, ratio?  Open-ended or closed-ended?

16 Example Measurement Levels Nominal  Categorizes labelled data Ordinal  Rank orders data without specifying magnitude of distance Specify gender Indicate yes or no Check all that apply Rank from most important to least important

17 Example Measurement Levels Interval  Rank order with comparable magnitude between choices assumed equal Ratio  N,O, I characteristics with verifiable, absolute distances between choices Indicate your level of agreement Allocate a bonus of $10,000 between you and your team members

18 Steps in the Measurement Process Evaluate, revise the instrument for  Reliability  stability, consistency  Validity  truth, accuracy


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