Brief introduction to your research.
General guideline/instruction.
Information about confidentiality, due date, & how to return the questionnaire.
Appreciation expression.
Your contact address.
Demographic profile show characteristics of repondents. Characteristics such as race, ethnicity, gender, age, education, profession, occupation, income level, and marital status, are all typical examples of demographics that are used in surveys.
The main objectives of having this section are:
To know the appropriateness of respondents.
To divide data into various data groups based on demographic information gathered.
To know how opinions & behaviours vary across different categories of respondents.
To create data analysis in the form of cross tabulations to compare survey data across multiple demographics.
Given the opportunity to collect meaningful data from respondents, it may be tempting to ask many demographic questions. However, asking too many questions can backfire. Some respondents may become concerned or aggravated by having to answer a large number of demographic questions. Additionally, they may feel that they will compromise their confidentiality, and others may perceive the questions as an invasion of privacy.
Thoroughly review all survey questions during the design process. Decide which guest demographics are the most critical to your study.
The information needed depends on the research problem, RQs, and unit of analysis. If the unit of analysis is individual, we need to collect details information about respondents such as gender, ethnic groups, religion, etc. If the unit of analysis is organization, the information about the companies are needed, such as nature of business, age of company, company ownership, type of manufacturing process, etc.
This section can be put at the beginning or the end of the questionnaire, depending on the needs of the researcher.
All variables must be measured precisely. Wrong measurement leads to wrong data, conclusion, and decision making. Therefore, the measurement items should be designed to ensure the accuracy of data being collected.
Each variable must be measured precisely.
Provide instruction in each section.
Develop based on conceptual & operational definitions.
Short as possible.
Simplify language to ease for understanding.
Use terms familiar to the respondent. For studies within a specific organization, use the terms used in that organization.
Use different scales in each variable.
Make sure it is absolutely clear what you are asking & how you want it to be answered.
Ask questions beyond respondent’s abilities.
Use terms that are familiar to you but might not be to respondents.
Unnecessary abbreviations.
Ambiguity, confusion, and vagueness. Make sure it is absolutely clear what you are asking & how you want it to be answered.
Long questionnaire as it causes fatigue.
False premises (proposition, or assumption). Since the premises are not correct, the conclusion drawn may be in error.
Invite respondents to breach confidentiality.
Double negative & double barrel, & leading questions.
Forces respondents to answer two questions at once.
Are you implementing 5S & kaizen?
Do sales growth & customer satisfaction increase during this five years?
Nobody with any sense isn't going.
You can't see no one in this crowd.
Encourages the answer wanted.
Do you have any problems with your boss?
Tell me about your relationship with your boss.
As a Muslim, do you offer the prayer 5 times a day?