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Measurement in Marketing Research
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Ch 102 Basic Question-Response Formats Open-ended Closed-ended Scaled-response
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Ch 103 Basic Question-Response Formats Open-Ended Open-ended question presents no response options to the respondent.
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Ch 104 Basic Question-Response Formats Open-Ended: Unprobed Unprobed format seeks no additional information –Advantage: Allows respondent to use his or her own words –Disadvantages: Difficult to code and interpret Respondents may not give complete answers
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Ch 105 Basic Question-Response Formats Open-Ended: Probed Probed format includes a response probe instructing the interviewer to ask for additional information –Advantage: Elicits complete answers –Disadvantage: Difficult to code and interpret.
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Ch 106 Basic Question-Response Formats C losed-Ended Closed-ended question provides options on the questionnaire that can be answered quickly and easily.
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Ch 107 Basic Question-Response Formats Closed-Ended: Dichotomous Dichotomous has only two response options, such as “yes” or “no” –Advantage: Simple to administer and code –Disadvantage: May oversimplify response options
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Ch 108 Basic Question-Response Formats Closed-Ended: Multiple Category Multiple response has more than two options for the response –Advantages: Allows for broad range of possible responses Simple to administer and code –Disadvantages: Must distinguish “pick one” from “pick all that apply” May alert respondents to response options of which they were unaware
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Ch 109 Basic Question-Response Formats Scaled-Response Scaled-response question utilizes a scale developed by the researcher to measure the attributes of some construct under study.
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Ch 1010 Basic Question-Response Formats Scaled-Response: Unlabeled Unlabeled uses a scale that may be purely numerical or only the endpoints of the scale are identified –Advantages : Allows for degree of intensity/feelings to be expressed Simple to administer and code –Disadvantage: Respondents may not relate well to the scale
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Ch 1011 Basic Question-Response Formats Scaled-Response: Labeled Labeled uses a scale in which all of the scale positions are identified with some description –Advantages : Allows for degree of intensity/feelings to be expressed Simple to administer and code Respondents can relate to scale –Disadvantage: Scale may be “forced” or overly detailed
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Ch 1012 Considerations in Choosing a Question-Response Format The nature of the property being measured –Gender=dichotomous; liking for chocolate=scale Previous research studies –Use format in previous study if desire to compare
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Ch 1013 Considerations in Choosing a Question-Response Format The data collection mode –Cannot use some scales on the phone The ability of the respondent –Kids can’t relate to scaled response The scale level desired
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Ch 1014 Basic Concepts in Measurement Measurement: determining how much of a property is possessed by an object Properties: specific features or characteristics of an object that can be used to distinguish it from another object –Objective properties are physically verifiable –Subjective properties are mental constructs
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Ch 1015 Scale Characteristics Determine the Level of Measurement Description: the use of a descriptor, or label, to stand for each “unit” on the scale; “yes,” “no,” “male,” “female,” etc. –All levels of measurement have description. Order: the relative sizes of the descriptors are known allowing us to say one is “greater/less than” the other.
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Ch 1016 Scale Characteristics Determine the Level of Measurement Distance: the differences between the descriptors are known: there is a $1 difference between $4 and $5. There is a 10 degree difference between 90 and 100 degrees. Origin: there is a true, natural zero: there is a zero level of dollars, market share, sales.
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Ch 1017 Levels of Measurement Scales Nominal scales: those that use only labels Ordinal scales: those with which the researcher can rank-order the respondents or responses Interval scales: those in which the distance between each descriptor is equal Ratio scales: ones in which a true zero exists
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Ch 1018 Levels of Measurement Scales
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Ch 1019 Why the Level of a Measurement Scale is Important The scale affects what may or may not be said about the property being measured. –Examples: If you wish to calculate an average, you must use an interval or ratio scale. If you have a nominal or ordinal scale, you must summarize the results with a percentage or frequency distribution.
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Ch 1020 Examples of Scaling Assumptions
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Ch 1021 Measuring Objective Properties Physically verifiable characteristics such as age, gender, number of bottles purchased, etc.
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Ch 1022 Measuring Subjective Properties Cannot be directly observed because they are mental constructs such as a person’s attitudes, opinions, or intentions. For subjective properties, researchers must translate mental constructs onto an intensity continuum.
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Ch 1023 Workhorse Scales Used in Marketing Research The Modified Likert Scale The Life-Style Inventory The Semantic Differential Scale –Halo effect Other Scaled-Response Question Formats
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Ch 1024 Reliability and Validity Reliability: respondent responds in the same or a similar manner to an identical or nearly identical measure Validity: accuracy of responses to a measure –Face validity
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