Chapters 2-3: Secondary Data; Online Marketing Research; Measurement to Build Marketing Insight Flashcards
(59 cards)
What is a measurement in the context of marketing research?
Measurement in marketing research is the process of using rules to assign numbers or labels to objects, in such a way as to represent quantities or qualities of attributes.
Explain the importance of rules in the measurement process.
Rules are crucial in the measurement process because they provide a guide, method, or command that tells a researcher what to do.
What is a construct and why are they useful in marketing research?
A construct is a specific concept, such as brand loyalty or customer satisfaction, that researchers are interested in measuring. Constructs are useful because they represent complex ideas that can be studied by measuring related, observable variables.
Describe the steps involved in the measurement process.
The steps involved in the measurement process are: defining the concept of interest, creating an operational definition of the concept, developing a measurement scale, and evaluating the reliability and validity of the scale.
What is a constitutive definition of a concept, and why is it necessary in marketing research?
A constitutive definition defines a concept using other concepts, much like a dictionary definition. It’s necessary to clarify the meaning of abstract ideas.
Explain the difference between a constitutive definition and an operational definition.
A constitutive definition is a dictionary-like explanation of a concept, while an operational definition specifies how a concept will be measured in a research study.
Define the four types of measurement scales, and give an example of each.
The four types of measurement scales are: Nominal scale (e.g., gender), Ordinal scale (e.g., customer satisfaction ranking), Interval scale (e.g., temperature scale), and Ratio scale (e.g., age).
Explain the concept of scaling in marketing research.
Scaling in marketing research is the process of creating a continuum on which measured objects are located.
What is reliability in measurement, and how is it different from validity?
Reliability is the extent to which a measurement instrument provides consistent results over time, while validity is the extent to which it accurately measures what it is supposed to measure.
Describe three methods for assessing reliability.
Three methods for assessing reliability are: Test-retest reliability, Equivalent form reliability, and Internal consistency reliability.
Describe three methods for assessing validity.
Three methods for assessing validity are: Content validity, Criterion-related validity, and Construct validity.
Explain a situation where a scale might be reliable but not valid.
A scale could be reliable but not valid if it consistently measures something, but not the concept the researcher intended to measure.
Explain a situation where a scale might be valid but not reliable.
A scale could be valid but not reliable if it measures the intended concept accurately, but the results are not consistent each time.
Describe the different types of attitude scales.
The different types of attitude scales are: Likert scale, Semantic differential scale, Stapel scale, and Constant sum scale.
What are some basic considerations in selecting a type of scale?
Basic considerations include the nature of the attitude being measured, the type of data needed for analysis, and the ease of understanding and use by respondents.
What is a balanced versus non-balanced scale and why does it matter?
A balanced scale has an equal number of positive and negative response options, whereas a non-balanced scale does not. The choice depends on expected response skew.
What are some important things to consider about the number of scale categories?
The number of scale categories can affect the sensitivity and accuracy of the measurement.
Explain forced versus non-forced choice and why it can affect results.
Forced choice requires respondents to select from the given options, while non-forced choice allows for a neutral option. This can affect the decisiveness of responses.
Explain what is meant by a Net Promoter Score (NPS).
A Net Promoter Score (NPS) is a metric used to measure customer loyalty based on a single question about recommending the company to a friend.
What is the role of a questionnaire in the marketing research process?
The role of a questionnaire is to translate survey objectives into specific questions that can gather the necessary data from respondents.
What are the key criteria for a good questionnaire?
Key criteria include providing necessary decision-making information, considering the respondent, meeting editing and data analysis requirements, and soliciting information in an unbiased manner.
Describe the steps involved in the questionnaire design process.
The steps include determining survey objectives, data-collection method, question response format, question wording, questionnaire flow, evaluation, obtaining approval, pretesting, and preparing the final copy.
What is the importance of the survey objectives in designing a questionnaire?
The survey objectives define the purpose and goals of the research, guiding the questions that need to be asked.
Explain how the data-collection method influences questionnaire design.
The data-collection method determines the type of questions, instructions, and format that are most appropriate.