Marketing Research Tutorial Answers
Marketing Research tut questions (answers)
Chapter 1
RQ3 Explain the specific differences that exist between data, data structures and information. Discuss how marketing research practices are used to transform data into meaningful bits of information.
Data represents the actual first-hand responses that are obtained about an object or a subject of investigation by asking questions or observing actions (e.g. words numbers).
Data structures represent the results of combining individual responses into groups of data using some type of quantitative or quantitative analysis (e.g. tables or figures).
Information stems from data structures only when the researcher or decision-maker takes the time and effort to interpret that data structures and attach a narrative meaning to them (e.g. managerial interpretations or story telling).
Qualitative data can be invaluable in providing decision makers and researchers with initial ideas about specific problems or opportunities, theories, models. Example: Focus group interviews and questionnaires. Quantitative data helps the researcher translate numerical data into meaningful information.
DQ1 D
Exploratory research design is a research design that explores the characteristics of a target population. Used to classify the problem.
Descriptive research design is a research design that describes the characteristics of a target population. Used to draw inferences about customers, competitors and target markets.
Casual research design is a research design that explains cause ad effect relationships between two or more decision variables. Allows us to understand the relationship between the causal factors and the effect of a particular variable.
DQ3 Differences in the main research objectives of exploratory, descriptive and casual research designs?
No, because the market researcher needs to propose a series of research steps to identify the scope for marketing research, and if necessary whether or not to
Chapter 1
RQ3 Explain the specific differences that exist between data, data structures and information. Discuss how marketing research practices are used to transform data into meaningful bits of information.
Data represents the actual first-hand responses that are obtained about an object or a subject of investigation by asking questions or observing actions (e.g. words numbers).
Data structures represent the results of combining individual responses into groups of data using some type of quantitative or quantitative analysis (e.g. tables or figures).
Information stems from data structures only when the researcher or decision-maker takes the time and effort to interpret that data structures and attach a narrative meaning to them (e.g. managerial interpretations or story telling).
Qualitative data can be invaluable in providing decision makers and researchers with initial ideas about specific problems or opportunities, theories, models. Example: Focus group interviews and questionnaires. Quantitative data helps the researcher translate numerical data into meaningful information.
DQ1 D
Exploratory research design is a research design that explores the characteristics of a target population. Used to classify the problem.
Descriptive research design is a research design that describes the characteristics of a target population. Used to draw inferences about customers, competitors and target markets.
Casual research design is a research design that explains cause ad effect relationships between two or more decision variables. Allows us to understand the relationship between the causal factors and the effect of a particular variable.
DQ3 Differences in the main research objectives of exploratory, descriptive and casual research designs?
No, because the market researcher needs to propose a series of research steps to identify the scope for marketing research, and if necessary whether or not to