- Defining the Problem
- Obtaining Data
- Analyzing the Data
- Recommending Solutions to the Problem
- Applying the Results
Definitions:
Problem Definition
Identification of a problem or research issue (ex. declining sales)
Primary Data
Data being collected for the very first time
Data being collected for the very first time
Secondary Data
Data that has already been collected for research in another problem
Survey Method
Information gathered from people through surveys and questionnaires
Sample
Part of the population that is assumed to represent the whole population
Observation Method
Actions of people are observed and recorded; provides better results than surveys
Point-of-sale Research
Combines natural observation and interviews to get people to explain their buying behavior
Experimental Method
Changing one or more marketing variables while keeping the others the same
Data Analysis
Compiling, analyzing, and interpreting the results of primary and secondary data
Validity
Questions must ask what was intended to be measured
Reliability
Research techniques should produce almost exact results in repeated trials
Open-ended questions
Asking the person taking the questionnaire to write their own response
Forced-choice questions
Asking the person taking the questionnaire to chose a response from the ones provided
Ways Secondary Data is Collected:
- Internet Sources
- U.S. Government Sources
- Consumer and Business Information Companies
- Business and Trade Publications
Pros & Cons of Secondary Data...
Pros:
- Obtained Easily
Cons:
- Not always available for the issue being studied
- Not always accurate
Ways Primary Data is Obtained:
- Survey Method
- Observation Method
- Experimental Method
Types of Forced-choice Questions:
- Yes/No (use when asking about one issue)
- Multiple Choice (Give the person more than one option)
- Rating Scale Questions (ex. Very satisfied... very unsatisfied)
- Level of Agreement Questions (Assesses attitudes or opinions)
Other important notes....
* When writing a survey be sure to avoid any bias, and pretest to check for any errors
* Maintain an appealing visual appearance when forming a questionnaire
* Give a deadline for completion, and an explanation of the survey's purpose
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