Week 3 - Quantitative Researching customer behavior Flashcards
What are the two categories of quantitative errors?
- sampling errors
2. non-sampling errors
What are the various type of non-sampling errors
- Problem definition
- Researcher’s measurement/design
- Researcher’s administrative
- Respondent
What are the two type of respondent errors?
- non response
2. response
What are surveys used for?
1-Describing market situations or evaluating marketing strategies
2-Analysing target populations or market structures
3-Indentifying meaningful relationships (for example women more inclined using your product.. etc).
What are the advantages of surveys?
- easy to carry out
- larger sample size so you can generalise to general population
- you can do factor analysis / statistical analysis to have new factors and relationships from the data
What are the disadvantages of surveys?
- questionnaires need to be accurate
- No in-depth data
- Time to get the results difficult to predict
- Response rate low
- Can’t know if truthful responses
- Misinterpretation of data
- inapropriate data analysis
What are the various sampling errors of surveys
1-Natural fluctuations
2- inapropriate sampling
3-
T or F : the non-sampling errors can be eliminated
true
What is the problem definition error?
When your research problem is not identified correctly leading to inaccurate research questions and so useless research results.
What are the 4 types of measurement and design errors?
- Construct development error
- Survey instrument error / design of the survey
- Data analysis error
- Scale measurement error
What are construct development errors?
Error in the survey question. for example a vague question.
what are scale errors?
errors on the scale because it either : 1-lack of precision 2-inapropriate terms 3-scale doesn't represent the question 4-lack of discrimination power of the question
What are the various design error you can make ?
1- Leading question like can you rate this delicious coffee
2-Lack of instruction or clarity in the questions
3-improper sequence of questions
4-questionnaire too long
What are the Data analysis error that you can make?
1- Innapropriate analysis procedure
2- misinterpretation of the data either because it is an interpretation error or a selective portion error
what are selective perception bias
it is when you select a wrong portion of the results and so it gives a partial picture of reality.